#MCP
200
2026-09-06
okf-memory/okf-agent-memory
S
Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.
2026-09-30
openai/mcp-extensions
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Build plugins that feel like native, first-class features of ChatGPT.
2026-09-22
Show HN: Foremerge – Catch intent conflicts between parallel coding agents
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At, GPTree, we run several coding agents across our team on one repo using parallel worktrees. Apart from wasted time reviewing and fixing conflicts at PR time, the failures that hurt the most are when multiple plans or tickets cause architecture changes that cannot both be true. Ex. one agent replaces a class while another one is in the process of extending it. Git only notices if the resulting patches happen to touch the same lines and the review only catches it if they are familiar with both tickets. Foremerge is a local "git like" coordination layer that sits above git (ie. does not interact with or change the way git and worktrees function), Before editing each agent publishes an intent and the scopes it will change, with the operation it plans to complete on each one. foremerge intent publish --agent "$A" \ --summary "Replace PaymentService with StripePaymentService" \ --scope symbol:PaymentService=replace foremerge intent publish --agent "$B" \ --summary "Add PayPal support to PaymentService" \ --scope symbol:PaymentService=extend The publish by the 2nd agent returns a HIGH destructive_vs_additive finding before writing any code. Agents keep their own worktrees and the shared state is one SQLite file in gits common direectory. No hooks, no merge drivers, nothing rewrites your history. It ships as one Rust binary with a CLI and MCP server with 18 tools and `foremerge setup all` wires it into Claude Code, Codex and Cursor. Because the protocol has nothing provider specific, a Claude agent and a Codex agent coordinate through the same store. Before any work is accepted, Foremerge runs a named check that you configured against the exact git state of the change. An agent that says tests pass is recorded but it dosnt satisfy the acceptance gate without running the check itself. Detection is deterministic, no judge model reading your code. HIGH conflicts are only asserted for declared operations, ie. matches inferred from prose cap out below high. Claims are advisory leases, not locks so two agents can still hold the same scope without deadlock. The open source version is single matching and so not a distributed consensus. We have tested this up to 98 parallel agents all working on the same repo with zero conflicts (was supposed to be 100 but 2 agents failed to run due to resource limitations) I replayed 76 intents on my own agents from a build last week in the order they happened. The sample had exactly 1 conflict (which was flagged) and the review found a blind spot where one agent claimed scope by class name and the other claimed it by an internal method. We are working on fixing that for the next release. Setup is a 30s install by pasting the quickstart instructions from the readme.md into your agent or manually: `curl -fsSL https://foremerge.com/install.sh | sh` or `cargo install --locked foremerge`, then `foremerge init && foremerge setup all` in a repo. Apache-2.0. The feedback I want most is which conflicts between your agents plans would you actually want flagged and which would you tollerate as noise? Repo here: https://github.com/naw103/foremerge Website: https://foremerge.com More information on the problems this solves: https://foremerge.com/blog/
2026-09-29
Show HN: HN.watch – Videos of all Hacker News posts
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Hi HN, I’m Per, founder of Scrimba (YC S20). We’ve spent the last decade teaching people how to code with an HTML-based video format. We’ve now plugged an LLM into it, so that people can create explainer videos about anything. It’s called “Scrimba Explain”. To demo this technology for Hacker News, we built HN.watch. It’s like HN, but with explainer videos instead of articles. We create them on-the-fly the first time someone clicks on a link. While there are obvious visual drawbacks of using HTML instead of diffusion models, there are three big benefits: - Speed: Much faster to generate than pixel-based videos (just a few seconds from click to playback) - Cost: Our cost per video is ~$0.04. (Excluding image generation, which some videos utilize. Quickly blows up the cost) - Easy editing: the above benefits also make AI-assisted editing cheap & fast Our hypothesis is that if video creation goes from “dollars and minutes” to “cents and seconds”, a bunch of new use cases will be unlocked. Here are some we see already: - A video explanation of every single Pull Request (we do this internally) - Give every page in your internal/extrernal docs a video - Turn a complex article into a video in ~4 seconds (via our Chrome extension) - Course creators can quickly draft lessons before recording the real thing - People also create a lot of personal stuff stories for their kids, wedding invitations, birthdays, etc The stack is based on an open-source programming language (Imba) created by our CTO, Sindre Aarsæther. It compiles to JavaScript, so it interoperates fully with the npm + node ecosystem. You can learn more here: https://imba.io/ We’ve also built our own sync engine (OP), and a context management system for agents (Q). We feared this would make the LLMs struggle when writing code for us, as neither is in their training data (there’s very little Imba in there too). However, we’ve been pleasantly surprised to see that LLMs actually are really good at our stack. This is probably because the stack is extremely dense. Imba is compact, and so is OP, where a single declaration sets storage, sync, permissions, UI, and what the AI sees. This means there’s no translations between frontend, API, db and JSON where the model can get confused and get things wrong. Simply said, instead of using React.js, Express, Supabase, and LangChain, we built it all from scratch. Definitely suffering from the “not invented here” syndrome, lol! As for the models, we use Gemini, GPTs, Inworld, ElevenLabs, and a few others. If you want to try it out, just take your pick: - The Web UI (scrimba.com/explain) - MCP (add it to your coding agent) - ChatGPT Plugin - Chrome Extension You can find a link to all of the above in our docs: https://docs.scrimba.com/explain/introduction And finally, a real pixel-based video of the tool: https://www.youtube.com/watch?v=k6rbHmBxSEs Would love to hear your feedback and if anyone has ideas for other use cases. PS: I expect quite a bit of pushback from HN for this launch, given how fan of text the HN crowd is. This kind of tool is not for everyone. But there are a lot of people today who prefer videos over text, especially in the younger generations.
2026-08-23
duty1g/x64dbg-mcp-server
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x64dbg-MCP Server is a native MCP (Model Context Protocol) plugin for x64dbg that exposes the debugger's full functionality over HTTP. Connect any MCP-compatible AI assistant and control x64dbg programmatically: set breakpoints, step through code, read memory, dump registers, and more. Built with Zig — zero dependencies, single-binary output, cros
2026-09-09
noskillish/bankmcp
A
BankMCP™: your AI can now read your bank. Self-hosted, read-only MCP server for your own bank accounts via open banking (Enable Banking). Standard MCP; tested with Claude and Ollama.
2026-08-29
JordyZomer/lemmalog
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A Datalog engine for LLM agent memory: stratified rules, provenance-tracked facts, incremental derivation, and an MCP server that lets your harness use it as a shared brain.
2026-11-08
shanselman/sandbox-mcp
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Fresh, throwaway Windows machines for testing your apps: an MCP server and CLI that automate Windows Sandbox
2026-10-17
anujasid/blender-ai-mcp-addon
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AI assistant and MCP server for Blender: visual chat, scene tools, multi-agent workflows. Works with OpenAI, ChatGPT, Claude, Gemini, Ollama, OpenCode. Blender AI addon and plugin, copilot for 3D, bpy Python scripting, MCP integration.
2026-09-27
graygnatconsole/mcp-audit-tool
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🛡️ Security audit CLI for Model Context Protocol (MCP) servers — scan AI agent configs for tool poisoning, rug pulls, hardcoded secrets, command injection & supply-chain risks. Pure Python, SARIF + CI ready.
2026-09-24
Show HN: I built a post-mortem debugger for native Windows x64/x86 crashes
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Hello HN! I've spent years debugging Windows crashes with tools that were either friendly but limited (e.g. Visual Studio) or powerful but archaic (e.g. WinDbg). I developed patterns and methods for understanding what was going on, and decided to build it into a much more effective debugging tool called ForensicDbg. I built a modern interface to minimize the friction when debugging. All of the data shown to you is analyzed, interpreted, and presented to you clearly, so you can focus on what matters. Everything is interlinked so you can quickly and intuitivly navigate through the process space. ForensicDbg comes with an MCP server which allows for agenic debugging. The work done to interpret and interlink your data also benefits AI tools. It removes the risk of hallucinations while building a stable foundation for them to work from without spending tokens. If you want to try it out you can sign up and get a free beta license here: https://www.forensicdbg.com/beta
2026-09-09
daishuge/pcb-skill
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Agent skill for taking a hardware idea to a manufacturable PCB: concept, schematic, sourcing, layout, routing, verification, and a purchase staged to the pre-payment page. Drives EasyEDA Pro over MCP from Claude Code or Codex.
2026-10-15
RuihongY/verdi_bridge
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Connect AI agents to a live Synopsys Verdi session through MCP: waveforms, signal values, driver tracing, and RTL source.
2026-09-23
Show HN: AI·rete·RAG – a Rete rule engine decides, RAG explains why
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Hi HN, I built ai·rete·rag because I kept seeing teams put an LLM in charge of decisions that need to be auditable (lending, fraud, clinical triage), then bolt on "guardrails" after the fact. It runs the two in series instead: 1. A pure-Python Rete engine evaluates YAML rules against your facts. The verdict comes only from here. Same facts, same verdict, every time, with salience-based conflict resolution. 2. RAG retrieves passages from your own policy documents, and an LLM writes a plain-English explanation of the decision that was already made, citing those passages. It can't change the verdict. A few things that went further than I expected: - Rules are a graph, not flat lists: nested all/any/not, and rules can assert facts that other rules consume (forward chaining). The decision trace shows the causal chain. - Audit mode records every rule evaluated, including the ones that didn't fire, condition by condition, with a snapshot of the rule set for replay. - Rules can steer retrieval (a fired rule narrows which documents get searched), and retrieved text can be turned into facts for the engine. - Non-technical authors can build rules in a visual editor, or paste a policy document and get LLM-drafted rules with citations. Drafts are never saved without review. YAML is still there for engineers. The landing page has a live demo with no signup (8 demo domains: loan, fraud, clinical, insurance, legal, ops, e-commerce, blockchain). There's also an MCP server, so Claude and other agents can call /decide as a tool: `uvx ai-rete-rag-mcp`. To be upfront: it's a hosted product with a free tier. The MCP client is open source (MIT, github.com/zaharajabeen13-create/ai-rete-rag-mcp); the engine and platform are not open source right now. I'd especially like to hear from anyone who has had to explain an automated decision to a regulator or an auditor: what did they actually ask for?
2026-09-16
Show HN: Pizza Bot – An inbox for AI agents that work in the background
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Hi HN - long-time lurker (since 2012!), first time poster. Pizza Bot is a self-hosted desktop app for Mac, Windows, and Linux that runs AI agents in the background and exposes them through an email-like UI. Finished work shows up in Unread, and anything waiting on your approval shows up in Action. It's Apache 2.0-licensed, there's no signup and no telemetry, and you bring your own model provider: Anthropic, Amazon Bedrock, Google Gemini, OpenAI, OpenRouter, or a local model through Ollama. There are builds on the releases page, or you can run it from source. Pizza Bot started as an internal passion project I worked on with a small team at Amazon. The whole thing came out of my frustration at having to manually log CRM activities through a browser form. I built a simple REST API called "JoeBot" that connected to my authenticated browser session over CDP and filled out the form for me using Playwright. Then I hacked up a quick Obsidian plugin so I could trigger it from my local notes (no AI and no MCP servers involved). This caught on quickly. My fellow AWS Solutions Architect Igor Fil joined up with me, and we rebranded the project as "Pizza Bot," named after Amazon's two-pizza teams. We started seeing what other automations we could build. We found a GraphQL API we could query and hacked up some "recipes" to pull data out of the CRM to help with meeting prep. That worked great, and it was right around the time MCP servers seemed to be taking off, so we decided to expose Pizza Bot as an MCP server instead, so it would be available to AI tools through natural language. This was a decent solution for technical users, but the Account Managers who live inside our CRM system wanted something too. We decided to rebuild Pizza Bot as an Electron desktop app modeled after an email inbox, so it would be familiar to non-technical users and would run on both Mac and Windows. We also bundled internal MCP servers as OCI images and hosted them in Amazon ECR as an "addon marketplace" so users could install them with one click without having to set up Amazon developer tooling. The project took off organically and expanded outside of AWS into the wider Amazon organization globally. More than 2,000 people ended up using it for meeting prep, email drafting, Slack summaries, CRM logging, prioritizing their day, and web research. Once apps like Claude Cowork and Amazon's own Quick Desktop came out, we realized the real growth opportunity was outside of Amazon. Rather than try to rip out the Amazon-specific integrations, we rebuilt Pizza Bot once more as an open source project. We leaned on coding agents heavily, which is the only reason a team our size could pull off a full rewrite. I'm pleased to say it's finally public, and we're hoping to bring in community members and see where it goes. We'd like to do for knowledge workers what Claude Code and Codex have done for programmers. A couple of things to know up front. Most of what made Pizza Bot useful on day one inside Amazon came from that internal catalog of skills and MCP servers for Amazon's own systems, and none of it could come out with the app. So it ships thinner than the version those 2,000 people used, and building that catalog back up for tools other people actually use is where we need the most help. It's also a community project and not an AWS service, so there's no support or SLA behind it. The Windows and Linux builds aren't signed yet either. On the technical side, Pizza Bot is a server and a client. The desktop app bundles both, or you can point a client at a remote backend; personally, I self-host the server on my home network and reach it from my phone over Tailscale. The server owns the thread lifecycle and checkpoints state with DeepAgents and LangGraph, and clients rehydrate from it as needed, so you can disconnect mid-run and pick the thread back up from another client. Approval pauses outlive the session that created them and collect in an Action filter, so you can answer an hour later from a different device. The agent you talk to has a sandboxed QuickJS interpreter that can reach your filesystem only if you grant it a folder, but its main job is to delegate. Each subagent is a 1:1 mapping of a Skill, and an Activity bar shows that subagent and the tool calls it's making as it works. Memory is opt-in and stored as plain markdown files on your machine. Every tool call is explicit, including looking up a memory - we err on the side of transparency to reduce surprises. Tools come from MCP servers, and skills are ordinary SKILL.md files with a per-tool approval policy, so existing skills that don't require a code interpreter should still work. What I'd most like to hear about is where the app itself gets in your way, the kind of problem you can't fix by writing a skill or an MCP server. I'm around today to answer questions!
2026-09-06
Show HN: Moadim.io – A scheduler for agents
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Why can't we get an agent scheduler that supports all of the following: - git compatible - agent agnostic - 100% open source - os and system-agnostic - multi-runner support - support mcp/ui/http - unlimited routines/crons So I built one, moadim.io is a local Rust daemon you install in the target machine, give it a name and manage its routines via a Git repository, wants a new routine that send you a daily message from this machine? Create a pr and merge, have another routine that run every hour to pull the latest changes to the ~/.config/moadim folder. With more than 1,000 users, I define this project as almost "done" and ready for production. Me and thousand more people are use it in a daily manner. It currently supports Claude, Codex, Hermes, and Pi, and you are welcome to add your agent of choice as well because it's 100% configurable. You are welcome to have a look at the source code of the daemon in " http://github.com/moadim-io/daemon" Feel free to provide me with suggestions for more features around this topic. I don't want to branch out to new off road topics likt webhooks, this is a "done" software in the realm of agents schedulers that focus on cron-like work. Also feel free to start the github repository and open issues and PRs for your suggestions.
2026-10-08
Dicklesworthstone/frankensonos
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Memory-safe Rust controller for your own Sonos speakers on your own LAN — reliable SSDP/UPnP-SOAP/GENA interoperability (S1 + S2), a Spotify-library classical DJ, and a CLI + HTTP API + MCP server so AI agents can run the house, including off-LAN over Tailscale.
2026-08-25
Stupidoodle/swissdevjobs-cli
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Search & apply to ~4,700 salary-transparent tech jobs across 7 countries (🇨🇭🇩🇪🇬🇧🇺🇸🇨🇦🇳🇱🇫🇷) from your terminal or AI agent — zero-dependency Python CLI + MCP server + Claude Code plugin
2026-10-01
Show HN: Strata – an expressive semantic layer that can say no to your LLM
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Hello HN, I'm Ajo and I built Strata. I spent 4 years at Netflix solving self service for non-technical business users. I think I cracked it with my unique approach to semantic layer design. The key challenge is balancing expressiveness with ease of use for our non technical colleagues. It just so happens that focus made it work pretty well with LLMs too. Strata is a full stack solution. It includes a semantic layer, dashboards, subscriptions, and google sheets exports. All of it can be done view agent conversation or via MCP. Some key concepts and features: - Names are strict. Only one thing called Revenue can exist in a project. If revenue is mapped to multiple tables, the query grain plus speed will decide table. - Strict naming conventions lends itself to enabling Automatic data blending acrros fact domains. - Partition and Aggregate aware semantic routing. This allows you to load a portion of your data into a faster compute engine like Druid or ClickHose, while keeping full history in trino or something cheaper. The query engine will choose the faster tier if the query can be resolved there. - Complex measures: out of the box support for snapshot, LOD (include/exclude), Compound, and Auto leveling compound measures. - On top of the semantic layer users can create custom calculations that span fact domains. - Another interesting feature is the ability to create cohorts and apply as filter to an entire query or single measure within a query. We are deliberately not building a semantic layer that your BI tools connect to. I think that is a dead end. We have apis, and mcp for anything custom you want to build on top. Try it free on docker: https://strata.do/try/ Docs here to get you going: https://strata.do/docs/ This is an early beta version. It is NOT open source. However, the free tier includes up to 25 users. You should be able to run it entirely on your machine with docker. I would love to hear your feedback. Especially, those working with Looker and Cube. Thanks for reading!
2026-09-18
Show HN: MCPJam - the first testing & evaluations platform for MCP servers
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Prathmesh, CEO of MCPJam here. Users now start in ChatGPT, Claude, Cursor, and other AI clients. They reach your product through your MCP server. That means your users often aren’t in your product anymore. You can’t see what they prompted for, how the agent interpreted it, or whether your server helped them get the result they wanted. I saw this firsthand leading MCP technical strategy at Asana, including our ChatGPT and Claude launches. We were building high-stakes enterprise integrations, but we had no reliable way to test them the way we test normal software- or to know whether they worked once they reached real users. I started using MCPJam for those problems after re-connecting with my former coworker who created the project. brought it to more of our developers, and worked it into our CI/CD pipeline. I joined the team because I kept hearing the same issue from other companies building for agents. So, what does “good” look like for MCP? For us, it means users reliably get the outcome they came for, across the AI clients they use. That’s what we’ve been building toward. MCPJam now helps you test the full workflow, from the first prompt to the expected result: * Swarms: Simulate users with different goals and prompts to find where workflows break across AI clients. * User Testing: Watch how real users interact with your MCP product, where they get stuck, and how they feel about the results. * Evals: Turn those workflows into repeatable tests that check whether users get the expected outcome. * CI/CD: Run those evals across AI clients before each release to catch regressions. Over 106,000 developers and +300 enterprises use our open-source solution to see how their servers behave locally across major AI clients. MCPJam has grown from a debugging tool into a continuous testing and evaluation workflow for MCP servers. If you’re building an MCP server or agent-facing product, give MCPJam a try. What is the hardest thing for you to test? We love hearing about your MCP server builds!
2026-09-08
Albertchamberlain/Awesome-OKF
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OKF (Open Knowledge Format) — curated catalog of tools, plugins, skills, proposals, and docs for agent-friendly knowledge. YAML-driven, agent-searchable, MCP-ready.
2026-09-08
bsab/france-mcp-servers
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A curated catalog of Model Context Protocol servers for French data, laws, and services.
2026-10-17
Show HN: Things to Do API
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I built an api/mcp for local events: pop-ups, one-off events, concerts, etc. currently covering the SF bay area. I've been building a bunch of consumer apps lately around personalization and recommendation and have had a hard time finding this data in one spot. agents can find useful stuff through tool calls / web search, but slow. you can scrape on demand too, but i wanted a faster data set and couldn't find an existing provider for the mix of event types I was searching for. the methodology for it is to find influential accounts/posters/etc. and do a fan out across things that they co-post with. mcp: `claude mcp add --transport http thingstodo https://api.thingstodoapi.com/mcp` I'm considering adding other cities. If you're building something that needs local event data, would something like this be useful and where would you want coverage?
2026-10-02
Tuskira/ai-agent-gateway
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AI Agent Gateway - an open-source gateway that secures, governs and observes AI agents' MCP tool calls and LLM traffic
2026-09-02
Show HN: Orthogonal – One integration for agents to discover and pay for APIs
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Hey HN, we're Bera and Christian, and we're building Orthogonal. Orthogonal gives AI agents one integration to discover, access, and pay for APIs. Think OpenRouter for the APIs that AI agents use. We currently have 50+ API providers and 700+ API endpoints across company, people, financial, and web data, available through our MCP server and SDK on a pay-as-you-go basis. We started with GTM related APIs and are now expanding the catalog. You can try at https://www.orthogonal.com/. You'll need to create an account to use the chat or connect the MCP/SDK. An example prompt for the chat or MCP: Find AI infrastructure startups that recently raised a Seed or Series A and return their founders, LinkedIn profiles, and relevant company data. When we heard about https://x402.org/, we saw an opportunity to make APIs easier for agents to pay for. Instead of an agent needing to manage an API key and billing for every API, what if it could just pay for each request? So we started onboarding existing API providers onto x402. Then we realized an agent cannot pay for an API it doesn’t know exists. It also needs to figure out which API can complete the task and how to use it. We also found that putting every small API payment on-chain did not always make sense. If both sides already have accounts with Orthogonal, settling internally is simpler. So we separated API discovery and access from the payment rail. Today, payments can happen through Orthogonal credits, x402, https://mpp.dev/, or https://www.circle.com/nanopayments. The problem we're working on now is API selection. If five APIs can answer the same request, which should the agent use? The cheapest might have worse coverage. Another might be more accurate but slower. We're working on using price, latency, reliability, and result quality to help agents make those decisions. How are you currently giving agents access to paid APIs? And if you gave an agent a budget, would you trust it to choose which API provider to spend it on?
2026-08-31
Show HN: Cogram Studio – CAD and BIM workspace for humans and agents
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Hi HN, Rick and Alex here, co-founders of Cogram. We’ve been making project-management software for architects and engineers since 2023, and are now experimenting with a second product. Cogram Studio (studio.cogram.com) is a CAD and BIM workspace for AI agents to create three-dimensional models and dimensioned drawings. Studio runs FreeCAD ( https://github.com/FreeCAD/FreeCAD) 1.1 headlessly, using the OpenCASCADE ( https://github.com/Open-Cascade-SAS/OCCT) geometry kernel. It imports and exports STEP, IFC, STL, DXF and FCStd files. Studio exposes an MCP server, so you can operate it from Claude Code, Codex, ChatGPT, or other agents. Tools cover scripting against FreeCAD, inspecting the model visually, CRUD operations on views, tables, and sheets, importing terrain, etc. Studio also provides a built-in agent based on Pi ( https://github.com/earendil-works/pi) and a basic UI for 3D model inspection, measurement, view, table, and sheet creation. There are two ways to try it: 1. Bring your own agent. Point Codex or Claude Code at studio.cogram.com/skill.md and ask it to follow instructions there. This starts a one-hour Studio session and opens the modelling environment in your browser, connected to your agent. You need to confirm sign up only if you want to save the session. 2. Use Studio’s built-in agent. Submit a prompt at studio.cogram.com and sign up. You receive 50 free credits. Here are two models created by agents: - A simple bookshelf ( https://studio.cogram.com/view/shr_1agb21nd4) with two sheets - The Colosseum ( https://studio.cogram.com/view/shr_3tm32c64y) [large, can take minutes to load], with two sheets showing dimensioned and annotated views. For now, Studio works best when you use it iteratively. If you ask an agent for a finished, complex model and “let it rip”, it may produce something that looks convincing but doesn't hold up to scrutiny. Agentic modelling feels roughly like where agentic programming was in 2024: useful for speeding up repetitive or bounded tasks but not yet reliable enough to complete long, complex jobs. Recent models have improved at CAD. We expect progress to accelerate as models become even better at reasoning across the different representations used in architecture and engineering: geometry, drawings, images, materials, physical constraints, specifications, regulations, code, etc. Early users and our own experience suggest that agents are already useful design collaborators. They can help with repetitive CAD work, fabrication options, part sourcing and cost estimates. We expect that as models improve, agents will be able to explore many different designs, run simulations, and check constraints across an entire project. CAD will become a shared workspace for humans and agents. Because design decisions made in CAD shape much of what is eventually built, even modest improvements could have wide effects. We’d love to hear your feedback and ideas if you give Studio a try. We’re also hiring across product, engineering and commercial roles. If you’re interested in working on interesting problems involving AI and the physical world, please take a look at our open positions at https://cogram.com/about#careers.
2026-10-15
R44VC0RP/isocast
A
OBS-style recorder for macOS: scenes, per-source ISO recording, streaming, and full control from a CLI and MCP.
2026-09-22
ismailperim/briefd
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Your agents, briefed. Not flooded. Self-hosted context compiler: git-backed team knowledge served to coding agents as token-budgeted bundles over MCP.
2026-09-13
panda-sandeep/dearagent
A
Email inbox API for AI agents, self-hosted on Cloudflare Workers. Open source, with an MCP server. AgentMail alternative.
2026-09-17
Show HN: Give your AI agents access to WhatsApp
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Hi, I built Chat-Man because I wanted a cheap way to give my agents access to WhatsApp without integrating a WhatsApp library separately in every project. You get WhatsApp MCP server, so you can connect WhatsApp to an agent and programmatically read, search, extract and send messages - but also have a web UI for non-techies. You can also receive webhooks for incoming messages for starred conversations. What you can do with the MCP? -Read WhatsApp messages and turn them into CRM records -Summarise conversations or groups -Extract structured information from messages -Find messages, participants or other WhatsApp data -Send messages -Manage group memberships Of course.. you always need to follow data protection regulation. The web UI: -Edit group details -See who joined or left -See who is most active -Export group members -Match members against a CSV (e.g. from a CRM) -Bulk message members -Bulk kick members -Create invite links For individual contacts, you can send messages directly from the UI. Why I built it for myself? I needed WhatsApp access for several projects (hermo.ai, florahaus.co.uk, …) and didn't want to pay for a WhatsApp integration for each project. Link: https://chat-man.net I’d love to get some feedback, especially from people building agents that need access to WhatsApp. Fabian
2026-08-24
w-partners/Wbrowser
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Drive the Chrome you are already logged into - from your terminal or any AI assistant. Cross-platform, MCP-ready.
2026-10-15
ananhq/anan-iphone-use
A
ESP32 MCP firmware for iPhone USB input, built for M5Stack StopWatch with guided board adaptation
2026-10-11
Ayzzz123/mcd-coupon-strategist
B
Mai Mai Money-Saving Assistant — a McDonald's MCP-based ordering cost optimization Skill. Calculates the most money-saving ordering plan for the current store and proactively warns about add-on traps.
2026-10-08
izzy-Ti/fayda-mcp
A
A Model Context Protocol (MCP) bridge connecting AI agents to Ethiopia's Fayda National ID (MOSIP eSignet) for zero-trust e-KYC and identity verification.
2026-09-27
breakstageaxe61/genspark-claw
B
🦀⚡ Community skill pack & CLI for Genspark Claw, OpenClaw & Hermes agents — 5 production-ready SKILL.md skills (deep research, reports, slides, browser automation, AI call prep), zero-dependency Node.js installer, MCP server, one-line install
2026-09-23
Matthew0822/MCPBastion
A
Zero-trust security gateway between AI agents and MCP servers: scoped capabilities, redaction, rate and cost limits, and verifiable session logs.
2026-08-23
appeeky/ua-skills
B
Agent skills for mobile app paid growth powered by real-time data with APPEEKY MCP.
2026-08-23
kgoedecke/doop
B
The open-source alternative to Paper.design. A multiplayer design canvas where humans and AI agents design together, live. MCP built in.
2026-10-25
edigeh/broll-mcp
A
MCP server to find, preview and cut public-domain b-roll from the Internet Archive, with a provenance record for every clip
2026-10-25
semsturgut/open-iphone-use
A
Give AI agents a real iPhone through macOS Bluetooth HID, local screen sharing, and MCP.
2026-10-24
kiyoakii/xinliqiu-sdk
A
Unofficial SDK for the OPPO AI 心力球: pair from any computer, sync and decrypt your own recordings, optional ciphertext-only storage, MCP server for agents.
2026-10-17
cranebeaker/coop-anything
B
Co-op Anything: point your AI agent at any single-player game and play it with friends (online and/or splitscreen!). MCP server and playbook to let you reverse engineer, fix, test, ship and share what it learns.
2026-10-17
opendevicedb/opendevicedb
A
Open directory of 21,000+ devices whose protocols or firmware are already open (OpenWrt, LineageOS, coreboot, Zigbee, Z-Wave, appliances…), so nobody — human or AI agent — redoes the work. Website, JSON API, MCP server.
2026-10-02
Show HN: Breadcrumb, record everything on your mac + context manager for AI
B
Hi HN, I'm Justin. Breadcrumb records everything you do on your Mac (screen + meetings + AI transcripts + what you and your AI decided) and turns it into memory your AI can search. It's local and encrypted. You can also teach it rules by talking to it and it makes sure the right rules turn up in the right context. Works with Claude Code / Codex / Cursor / opencode. All of this is exposed to your AI as 30+ MCP tools (here's the definitions): https://innerloop.works/breadcrumb/mcp I started it in June because I wanted to understand what was going on with my AI dev work. Then it just kept growing as I jammed on it 10 hours a day for 3 months. I started by recording every screen so I could jump back to a moment and see what I'd been doing with the AI. Then I added MCP so the AI could search it. Then time tracking. Then meetings with transcripts and timestamped screenshots. After that I started feeding the data back in. At first it was just a few relevant memories in the prompt. Then I started adding rules and rules modules. Then I started recording the AI transcripts and all the other stuff the AI did (subagents, tools etc). I wanted a complete record so I could go back and see what the AI did and why. I found the more data the AI had the more useful it became. One example. I got off a zoom call with the team at the day job and said: "Review the meeting I just had, find all the bugs we discussed, and create JIRA tickets with screenshots." It read the transcript. Found every bug we mentioned, pulled the screens from the screen timeline, spun up my local server, diagnosed each bug, reviewed the code, created 14 tickets in JIRA with diagnosis and likely fixes, attached 12 screenshots as evidence, and created a nice Slack message to send to my colleagues. I never built a workflow for any of that. Claude had the meeting record, Breadcrumb tools, and rules I'd accumulated. It basically chained the steps together itself. My favorite thing about the system is observability of my own work as an AI developer. I can trace a bug all the way back to the first thing I said (or the first thing the AI did) that caused it. Then I can add a rule so it doesn't happen again. Anyway, my working system is simply Claude Desktop + Breadcrumb + Markdown. I find I don't need anything else. It's local software for one person. Local models for transcription and diarization. Data encrypted with SQLCipher and a passphrase. You can exclude any apps, websites, words and phrases. Breadcrumb itself only makes one network call which is a daily update check. (but of course your AI will use it and that is local or cloud depending on what you use). It runs cool about 12% of one core on average (M series mac has 8+). You can set it to just save OCR text or to save screenshots. If just OCR it's about 12mb day (a lot of telemetry, indexing etc). If you record screenshots on meetings it's about 120mb/hour (1 every 2 secs). It can also record screenshots of everything that's heavy at about 160mb/day. It does local classification/naming with ollama with Gemma 3 4B (2.5 GB). It's 100% free. There's no account you can just download and start using it. I'll monetize it via E2EE cloud sync and team sync. It's open beta. Just one developer working on it. Requires 16GB+ M Series Mac. Thanks for reading! https://innerloop.works/breadcrumb (homepage) https://innerloop.works/breadcrumb/download (direct download) https://innerloop.works/breadcrumb/mcp (mcp definition)
2026-10-23
A-new/aidbg
A
AI-first Windows x86/x64 command-line debugger | JSONL output, MCP server, anti-anti-debug (ScyllaHide-style), snapshot rollback, IAT rebuild, PDB types
2026-10-19
kanaworksai-hue/audio-studio-mcp
A
Local AI BGM and sound effects for Claude Code and any MCP client. Stable Audio 3 on Apple Silicon (MLX) and Windows NVIDIA GPUs (PyTorch). No cloud, no API key.
2026-10-17
Show HN: Stoke Money – Personal finance app built around a cash flow forecast
B
Hi HN, I've been through many finance tracking apps, starting with Personal Capital, then Monarch, and most recently Copilot. None of them have worked perfectly for my needs. All of these apps tend to model “cash flow” as the net sum of your transactions during a month, yet while credit card charges are reported immediately, they are typically deducted from checking (cash) accounts the following month when the bill is due. As a result, I've always had to maintain a separate spreadsheet to track my actual cash flow. These apps also have a huge focus on managing budgets, which has never been for me. My spending is rarely consistent month-to-month, so every month I'm comparing my fully justified spending against my budget, and tweaking my budget until I “pass”. So I built yet another finance tracking app. It has the usual components - accounts, transactions, categories - but the core is a cash flow projection engine, and everything else is built around it. Budgets are gone. Instead, each income/spending category is projected forward from your historical activity, but not as a flat monthly number. They land in whatever account you historically use (e.g. checking account for paychecks/rent/bills, credit/debit cards for daily spending). Credit card payments are modeled automatically based on your projected credit card balance. You can set up your own recurring transfers between accounts as well, to model savings, for example. The end result is that the app can forecast how your cash moves, and you can see in advance when any account might run low. If all of your accounts look good for the next 12 months, maybe you don't have a budgeting problem. What’s made the biggest difference for me has been the MCP integration, which I have connected to Claude (but can be connected to any AI agent of your choice). I have asked it to import historical transactions by uploading PDF account statements, categorize/tag all transactions that took place while I was on vacation, and plan transfers across my accounts to cover expected payments. I hope some people that share my frustrations will find this app useful.
2026-10-01
BlackHole1/passportsim
A
Develop and debug FoloToy AI Passport firmware without the device: an ESP32-C3 emulator that runs unmodified ESP-IDF images in the browser (WebAssembly) or on macOS and Windows, with a CLI and an MCP server for AI agents.
2026-09-08
wangjiake666/dkyj-director
A
DKYJ Director / 大开眼界导演台 — Local Blender camera previs with an iPhone Safari viewfinder, editable blocking, reusable scenes and optional MCP agent integration. macOS / Windows.
2026-09-03
lotchuazzz-crypto/papergraph-mcp
A
Turn arXiv and LaTeX mathematical papers into theorem dependency graphs for AI agents through MCP.
2026-09-02
mantis5x5/kvm-automation
A
Agent automation for IP-KVMs: one MCP server, CLI, fleet config, and skills driving GLKVM, PiKVM, and TinyPilot. Open-source alternative to TinyPilot Automation.
2026-09-01
nickname21kmr/gameops-investigator
B
Evidence-first game operations incident investigation agent with read-only MCP tools and reproducible evaluations.
2026-10-23
wenboxia/mcd-advisor
A
Mai Advisor: keep the same cravings, use McDonald's official pricing to find a better way to buy this meal (McDonald's China MCP · Agent Skill · zero-dependency CLI)
2026-08-23
2005selene2005-a11y/susu-phone-agent
A
Android device bridge for Claude Code via MCP + Shizuku. No root, no model polling.
2026-09-14
zorrobyte/asset-studio
B
Fully local, agent-callable text-to-3D game asset pipeline: Qwen-Image-2512 -> Pixal3D (TRELLIS.2) -> Blender/meshoptimizer, FastAPI + CLI + MCP, Docker Desktop, RTX 5090
2026-11-02
Hona/strobe
A
Measure and explain performance: web pages, Electron apps, Bun/Node, any process. Agent-native CLI + MCP.
2026-10-19
Fazmin/cve-intel
A
Local security intelligence for CVE triage - 31 data sources and 32 tools, risk scores and an MCP server for AI agents, all in native Rust. Private by default.
2026-10-15
Graphicle-AI/graphicle
B
Code graph and memory for your coding agents, in one Rust program. For Claude Code, Codex, Cursor and any MCP client.
2026-08-23
Consensus-NLP/consensus-mcp
A
Official MCP server for Consensus. Search 220M+ peer-reviewed research papers from Claude, ChatGPT, Cursor, and any MCP client.
2026-08-23
Cripacx/mediagen
B
AI image and video generation skill for Claude Code and other coding agents — Gemini, OpenAI and Kie AI behind one CLI and MCP server, with EU AI Act content marking.
2026-11-03
wendersoon/radar-cnpj-mcp
A
Servidor MCP e CLI para localizar empresas brasileiras por CNAE e região, utilizando dados abertos de CNPJ da Receita Federal.
2026-10-24
haplollc/Vesalius
A
A map of your codebase for Claude Code: an on-device code graph with an MCP server, a CLI, a Mac app and a VS Code extension.
2026-10-19
stkoecn/im-mcp
A
Fast, local, read-only MCP Server for WeChat (4.x/3.x) & DingTalk (7.x V2/V3) chat history with FTS5 search
2026-10-13
sepehr071/awesome-iran-mcp
A
19 open-source MCP servers (308 tools) that give AI agents the Iranian web: Digikala, Snappfood, Jabama, MrBilit, Paziresh24, Taaghche and more. Prices in Toman.
2026-09-26
computerlovetech/umbod
B
Agent access on your own infrastructure. Connect internal APIs and MCP servers, manage permissions by group, and let teams choose their agents.
2026-09-18
kitze/skillbox
B
Self-hosted, versioned skills library for AI agents. MCP, scoped clients, and optional Jev recommendations.
2026-09-16
missuo/wisp
A
Wisp: computer use for agents on macOS (accessibility tree + synthesized input + DevTools), with a CLI and MCP server
2026-09-05
affirmitv/cc-readback
A
Read your Claude Code sessions from Claude Desktop. A local, read-only MCP server over ~/.claude with secret redaction.
2026-11-06
JosssphZhou/poki
B
Let AI agents operate a real iPhone. Local MCP server and agent, no jailbreak, no extra hardware.
2026-10-27
boyuchengz/canvas-mcp
B
Read-only MCP server that connects Claude, ChatGPT and other AI assistants to Canvas LMS.
2026-10-05
joeseesun/qiaomu-codex-imagegen
B
Let any Agent call Codex's built-in image generation (MCP + CLI + Skill), with built-in Xiaohongshu, video cover, and Mondo poster techniques · Codex image generation for any agent
2026-09-24
seuros/skipper
B
MCP server for git repositories: local git in-process via gitoxide, plus GitHub, GitLab, Gitea and Forgejo through their CLIs
2026-09-16
OldJii/google-play-vitals-mcp
B
High-performance, token-efficient Model Context Protocol (MCP) server for Google Play Android Vitals - enables AI assistants to diagnose ANRs, crashes, and startup performance.
2026-09-04
Show HN: I built my first MCP to manage Google Ads
B
My co-founder and I tried running Google Ads for our Shopify store, but we could not get a positive ROAS (we spent 150USD on a single conversion). As we also could not afford an agency, we turned to AI (IMO Codex >>> Claude Code). We found that Google’s Ads MCP could only read data, but it could not make changes. So we built our own hosted MCP with read and write access. It can inspect performance, find wasted spend, create or update campaigns, and work with Google Analytics and Tag Manager.
2026-10-23
Wtrwx/vesper
B
iOS reverse engineering platform: MCP tools and agent skills for runtime inspection, automation, decryption, debugging and tweak development
2026-10-22
ContentWriterco/rozklad-mcp
B
🚆 Rozkład jazdy PKP, PKS i komunikacji miejskiej dla AI – serwer MCP: wyszukiwarka połączeń z przesiadkami, odjazdy, opóźnienia na żywo, ceny biletów. Polish train & bus timetables for Claude, ChatGPT, Cursor.
2026-10-04
oroplex/pony
B
Pony is the hands, you pick the brain. Let Claude, Grok, Gemini or any MCP agent use your Android phone.
2026-10-01
Jinssi/AuthFlowMap
B
Interactive map of OAuth, Conditional Access, Entra Agent ID and MCP authentication flows, step by step
2026-09-20
Dominic-DK/mac-shortcuts-mcp
B
Let any AI agent read your Mac — Calendar, Reminders, Notes, Contacts, Clipboard, Location, Weather — through Apple Shortcuts. Read-only, local, no account. Includes a harvested catalog of 539 Shortcuts actions and their parameter keys.
2026-09-12
arumwu/local-workspace-mcp
B
Self-hosted MCP for local files, terminal processes, Office documents and named computers
2026-10-26
nexmoe/MetriBee
B
MetriBee: realtime Google Analytics 4 dashboard with an embedded MCP server.
2026-10-22
huangzheng2016/ios-icon-mcp
B
Organize your iPhone home screen from any MCP-compatible AI client
2026-10-17
yangsir2077/pixel-loom
B
Pixel Loom 像素织机: an open-source pixel art and animation editor that supports AI creation via MCP. For the Windows portable version, click the link below and use it after fully extracting.
2026-10-16
MBratkowski/deweloperuch-mcp
B
Unofficial MCP server and CLI for Polish new-build apartment prices: developers' asking prices with history, RCN transaction prices and GUS/NBP statistics (data from deweloperuch.pl)
2026-09-21
TiancongLx/open-mcp-gateway
B
High-performance MCP-to-OpenAPI 3.1.0 gateway, built for the Open WebUI ecosystem.
2026-09-11
sayaka-aiart/StandRig
B
AI-editable 2D modeling and playback via MCP. Parts-separated PSD input, standalone local service, and embeddable runtime.
2026-08-31
drephantom/memory-garden
B
Personal cognitive-retrospect Agent over Obsidian notes: stance snapshots, hybrid retrieval, read-only MCP tools. 48 tests, 3 reproducible evals.
2026-08-31
drephantom/wq-brain-mcp-server
B
Local MCP server for WorldQuant BRAIN research — 8 tools with explicit safety boundaries
2026-08-29
pauloportella/auto-webmcp-chrome
B
Turn standard web forms into structured WebMCP tools for compatible browser agents.
2026-10-20
dansugc/reverse-engineer-higgsfield
B
Upload an AI video (Higgsfield & co), get the fal.ai flow that makes it. Rust CLI + web app + MCP. Built by DansUGC.
2026-10-20
finereli/whatsapp-mcp
B
A read-only MCP server that lets your AI agent search and read your own WhatsApp messages. Runs on Cloudflare Workers.
2026-09-20
INSANE0777/Awwards-mcp
B
Free, open-source MCP server that gives AI coding agents (Claude Code, Codex, Cursor, OpenCode, ZCode…) design inspiration from award-winning websites — search with real screenshots, pull design DNA, capture and record live sites. A Mobbin alternative. No API key.
2026-09-10
krmisystems/fantasy-football-manager
B
ESPN draft and lineup tools for Codex and other MCP clients, with browser sign-in, approval modes, per-team limits, and server monitoring.
2026-08-31
moondevonyt/Trading-View-MCP-for-AI-by-Moon-Dev
B
Trading view MCP for AI so you can build anything into your trading view charts with AI
2026-08-29
KKarsyline/mac_knock
B
A very lightweight native macOS interactive popup that AI can initiate, returning your choice via HTTP or MCP.
2026-08-27
Morningstar202604/AgentSeed
B
Anti-hallucination guardrails for AI coding agents - hybrid Skill + MCP server (6 tools) that verifies code before it is marked done. Works with Claude Code, Cursor, VS Code, Copilot.
2026-10-23
Mason-Levyy/garmin-personal-mcp
B
MCP server for Garmin Connect on Garmin's official Personal API: sleep, HRV, body battery, activities, and more from Claude or any MCP client
2026-10-03
ph1lb4/imagegen-mac
B
Local AI image generation for Mac. Run Qwen-Image 2.1 on Apple Silicon, offline and private, with a built-in MCP server for Claude Code and AI agents.
2026-09-28
SerenQi/rain-go
B
West Window · an MCP game platform where humans and AI play board and card games at the same table · 10 games, seat-based multiplayer, server-side hidden-hand isolation
2026-09-16
AlchemyInCode/plumloom-autoeval-oss
B
Open-source CLI and MCP server for evaluating AI applications and gating releases with reliability evidence.
2026-09-06
trinity1994/MCP-Server-Aster-DEX
B
MCP server for Aster DEX — a Model Context Protocol server that gives Claude, Cursor and Cline structured access to Aster DEX market data, volume, points and airdrop eligibility via natural language. Read-only tools — no trading, no keys. Unofficial community project, not affiliated with Aster.
2026-09-02
neuronto/agentic-resource-discovery
B
Neuronto Agentic Resource Discovery (ARD) Index. Federated search across every public ARD registry, plus a verified tool index read from each MCP server's own tools/list, hybrid lexical and semantic retrieval, and ARD-Bench.
2026-08-23
totec448-spec/chat-on-steroids
B
Local Windows coding and computer-use bridge for ChatGPT over MCP, limited to folders and capabilities you approve.
2026-11-07
HerdBuilderEstimate/roblox-studio-mcp
B
Model Context Protocol server for Roblox Studio. Connect AI assistants (Claude, Cursor) to read object trees, edit scripts, and run playtests safely. Open-source and lightweight
2026-10-26
vxcn/mcd-kcal-picker
B
McDonald's calorie pairing advisor: a calorie pairing Skill based on McDonald's China MCP, read-only, no ordering
2026-10-25
moajez/omni_geo
B
Open source GEO/AEO audit engine. Track brand visibility, citations & share-of-voice across ChatGPT, Perplexity, Claude & Gemini. Built-in CLI & MCP.
2026-10-17
DeepAleph/jevreel
B
A zero-embedding approach to video intelligence, using Jev: contact sheets + typed decisions, as MCP tools and a skill for any coding agent.
2026-10-12
Sam-Hui-dot/mcd-budget-meal
C
McBudget Meal: a Skill for real price verification, budget comparison and meal substitution based on McDonald's MCP
2026-10-09
HaticeGuzell/multi-database-mcp-server
B
Read-only Model Context Protocol server for MySQL and PostgreSQL, built with TypeScript, TypeORM and Docker.
2026-09-29
etosin/arc-draw
B
ARC-DRAW is an SAP-aware Model Context Protocol (MCP) server for SAP Solution Architects. You describe an architecture in plain language; the AI agent places the correct SAP BTP icons and follows the official SAP diagram grammar to lay them out.
2026-09-17
wgaostudio/closetscan
B
Turn a closet walkthrough video into a searchable wardrobe catalogue, with a local MCP server and agent skill
2026-09-10
thsnkhn/grove
B
Native Mac tools for AI assistants. A Swift MCP server for Apple apps, starting with Reminders and Calendar.
2026-09-07
RankSpotAI/awesome-seo-mcp
C
A curated list of MCP servers for SEO. Search Console, keywords, backlinks, crawling, SERPs and AI search visibility, verified with install details and auth requirements.
2026-09-02
romangojiberryAI/gojiberryai-sales-os
C
GojiberryAI Sales OS: a full AI outbound team for Grok Bot, powered by the GojiberryAI MCP.
2026-11-09
avivgerz-hue/vibe-shield
B
60-rule static security scanner, MCP server & skill poisoning auditor for AI-generated codebases (Claude Code, Codex, Cursor).
2026-10-24
zengshuangzi/mcd-money-saver
B
An intelligent money-saving assistant based on the McDonald's MCP
2026-10-22
Hanmoy/mcsmart-butler
B
A local panel and Agent Skill based on McDonald's official MCP: single-person calorie/budget meal planning, multi-person group ordering with transparent bill splitting, group-buy price comparison, and a cardboard pixel-style McDNA double-sided share card; a deterministic core handles selection and bill splitting. Entry for the 2026 McDonald's Programmer Creative Development Competition.
2026-10-22
trycua/hermes-cua-spaces
B
Run Hermes Agent's terminal, file and code tools inside a Cua Space
2026-09-29
tunaarikaya/magaza-mcp
B
Tek MCP sunucusu, iki mağaza: App Store Connect + Google Play. Tamamen Türkçe.
2026-09-12
selenaking2025/web-cli
B
Local browser automation for AI assistants and scripts. Reuse your logged-in Chrome session and run ordinary tasks in the background.
2026-09-02
Show HN: Mcptunnels – ngrok for MCP with basic OAuth
C
Basically, OpenAI tunneling sucks and is broken most of the time. This can get you tunneling pretty trivially to share with someone temporarily. Roadmap includes being able to host MCP servers trivially as well.
2026-08-29
ConiferKit/use-conifer
B
The Conifer SDK — one gateway for cloud, local, and BYOK inference, with exact per-call cost receipts. TypeScript + Python + MCP.
2026-08-23
moonlin1213/cove-book-forge-mcp
B
Turn PDF and EPUB books into cached AI analysis, Obsidian notes, and installable Codex/Claude Agent Skills through an open MCP server.
2026-10-24
YUME-hu/mctime-capsule
B
Deposit a McDonald's order for your future self | Entry for the McDonald's MCP creative development contest
2026-10-20
tomtomsatnav/agent-orchestration-standard
B
A live, local-first dashboard for Claude Code sessions: project graph of agents, tokens, tool feed, replay, alerts. Plugin + terminal UI + MCP server. Includes the AOS-1 agent orchestration spec.
2026-10-19
Show HN: WhatsApp MCP running free on Cloudflare
C
I wanted my humble Claude on mobile to access my WhatsApp messages but the only options I could find either required WhatsApp Business or an actual server to run Baileys on. I wanted to run it for free on ClaudeFlare and with my personal WhatsApp account, so I built this. Important feature - it connects to your Google account as well as WhatsApp to grab the names of all your WhatsApp contacts, otherwise you get only phone numbers for many of them and search doesn't work properly. This is a single user install because it's both gray area and very private - so point your agent at the repo and let it set things up.
2026-10-15
Lucent-Snow/agent-knowledge-mcp
B
Portable Markdown memory for agents: six MCP tools, local and remote access, Chinese lexical search, and multi-device sync.
2026-10-15
zxz-Fine/mcd-group-order
B
🍟 McDonald's group order assistant | paste group-chat orders → match menu → pick the most economical coupons → exact split by largest remainder method (Σ each person's share ≡ order actual payment, zero rounding difference). A WorkBuddy Skill based on the McDonald's MCP, with a zero-install online calculator.
2026-10-13
cxm947/FakeLiang
C
Attack-graph-based automated range validation, multi-agent framework, Kali MCP, automated orchestration, POC generation.
2026-10-12
zhutoumeme/mcd-git
B
Order McDonald's with git commands: add to put in cart, rebase to find the cheapest combo, push to confirm before ordering; card generates a 1024 McDonald's contribution image (3D burger skyline / annual receipt). Based on McDonald's MCP Server, with --demo token-free trial and Agent Skill. Unofficial contest entry.
2026-10-05
amos689/paperdelta
B
Trace changed experiment results to the numbers, claims and figures in your LaTeX paper. Offline bilingual review, safe numeric patches and read-only MCP tools.
2026-10-01
batrapulkit/squidbrake
B
Brakes for your AI agents: every tool call is checked against your rules, held for human approval when risky, and recorded in a tamper-evident audit trail. Works with Claude Code and any MCP app.
2026-09-26
bgivenb/flick-computer-use
C
Fast browser and macOS computer use for MCP agents. Local execution, TypeSafe Jev decisions, verified outcomes.
2026-09-13
NativePHP/superstack
B
Open-source Laravel starter with Filament, NativePHP SuperNative, and MCP
2026-10-29
anomalyco/browse
B
Let your AI agents use your real browser: an MCP server and a Chromium extension
2026-10-23
BEN020406/maimen-order-manager
B
McDonald's MCP Skill: review to-do list, positive-review reward progress, invoice reimbursement threshold order padding, single-draw confirmation. 99 tests, unofficial product.
2026-10-13
w16638771062/mccarbon
C
McCarbon Ledger · A personal dining carbon footprint estimator and emission-reduction simulator based on McDonald's MCP | Personal dining carbon footprint estimator powered by McDonald's MCP
2026-10-10
akexin/mcd-points-actuary
B
Golden Arches Points Actuary — based on McDonald's China MCP, unifies "channel fees / coupon stacking / points opportunity cost" into one objective function "out-of-pocket cost = cash + points × shadow price", answering for the same order which is cheapest out-of-pocket among in-store pickup, McDelivery, Meituan, and Ele.me, which coupons to stack, and whether to spend points; also provides a points value matrix (13x value difference for the same points), lottery expected-value bounds, and an expiry stop-loss plan (entry for the McDonald's Developer Creative Hackathon)
2026-09-16
Jondalar/UE2-C64U-Emulator
B
Emulator for Ultimate 64 Elite II / C64 Ultimate firmware (UI, services, TRX64 as C64) — develop and test firmware, including a mcp server
2026-08-26
Vangardo/unity-mcp-efficient
B
Token-efficient facade and Codex skill for MCP for Unity: 96% smaller measured tool-schema surface, compact results, batching, and recovery.
2026-11-05
andrew-babo/muse4ai
B
Muse4AI — let your AI agent make the pictures and the videos. Local Windows bridge for Muse via REST, MCP, and OAuth.
2026-10-29
DukeDeSouth/m7-mcp-oss
B
MCP server that makes an AI coding agent work through a fixed 7-phase cycle with enforced reflection gates, persistent project memory and multi-model Hive
2026-10-20
dansugc/reverse-engineer-marketing
B
Paste a link, get the whole marketing machine behind it: paid ads, organic social, SEO, Reddit, founders, funnel — evidence-cited. CLI, MCP server and a local web app that uses your Claude Code or Codex plan.
2026-10-16
W313997791/mai-suanpan
B
MaiSuanPan: a smart ordering assistant based on McDonald's MCP that enumerates optimal combinations and does real price comparisons to help you save money, control calories, and organize group meals.
2026-10-11
Zafer-Liu/mcd-event-radar
B
McDonald's MCP Agent Skill: check "what McDonald's events are nearby" and generate a cartoon event map — store locations from official coordinates, showing only verified bookable sessions 🍟
2026-10-04
yfishyon/doumcp
B
DouMCP (Douyin M) - MCP-enabled LSPosed module for Douyin | lets AI control Douyin via the MCP protocol
2026-09-15
AndroidReverser-Test/trace_search
B
An efficient MCP service for trace logs at the hundreds-of-GB scale, offering regex search, non-regex search, reading specified lines, exporting specified lines, and more.
2026-08-31
Ryze-AI-Adgent/open-seo-mcp-skills
B
Open-source SEO + GEO skills for Claude — keyword research, rank tracking, site audits, backlinks, competitor gaps, AI visibility. Runs on your real Search Console / GA4 / ads data via MCP, with DataForSEO built in. Free, MIT.
2026-08-24
VITASID57/chatgpt-local-supervisor-bridge
B
A safe, allowlisted bridge from ChatGPT web to local project files through OpenAI Secure MCP Tunnel.
2026-11-08
gogoymh/auto-ontology-mcp
B
NVIDIA Auto Ontology's semantic layer and a personal knowledge base as an MCP server for Claude, ChatGPT and other MCP clients. No LLM API key needed.
2026-10-23
niulengxiao/atlas-context
B
User-reviewed personal context for AI agents. Read-only MCP, synthetic demos and traceable sources. Experimental alpha.
2026-10-15
Sirius0o0/McWander
B
McWander 麦步 — a mobile-oriented Citywalk route planning tool that combines the McDonald's MCP with Amap to link city scenery, stores along the way and discounted McDonald's meals.
2026-10-02
FidelisMM/shipstores
B
Ship iOS and Android apps from your AI agent. MCP server for App Store Connect, Google Play Console and Expo EAS.
2026-11-03
exzade/EXZA-Remote
B
Secure AI-powered remote computer access for ChatGPT, Claude and compatible MCP clients.
2026-10-23
Tom123223/maimen-xinshi
B
McDonald's Mood: reads a single worry as a McDonald's meal, then lets three strangers decide whether to eat it. A Skill based on the McDonald's China MCP + a zero-dependency single-file demo page.
2026-10-21
wusuaya/overtime-meal-buddy
B
What to Eat for Overtime: a WorkBuddy Skill for McDonald's MCP multi-person meal pairing, combo allocation, order-change repricing, and exact bill splitting.
2026-10-20
zigansh1n/imnotarobot
B
I am not a robot — a captcha solver for macOS: local model, Gemini vision, a stealth browser for checkbox captchas, RuCaptcha as the last resort. 2Captcha-compatible API and an MCP server.
2026-10-17
speedydivid/TokenForge
B
Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory via SQLite + FTS5, and enforces routing across 17 platforms through MCP + hooks. Works with Claude Code, Gemini CLI, VS Code Copilot, OpenCode, Codex CLI.
2026-10-13
mishafyi/Apple-Docs-2.0-MCP
B
MCP server for Apple Developer Documentation: API reference, Human Interface Guidelines, App Store Connect Help, sample code and 1,700 WWDC sessions with transcripts and code. A fork of Apple Docs MCP.
2026-10-09
mcpdelta/mcpdelta
B
Delta MCP is a free app that sits between your AI apps and their MCP servers: one program per task instead of one tool call per step, up to 24.1× fewer tokens in our benchmarks. Every change is recorded and undoable. Coming soon for macOS, Windows and Linux.
2026-10-04
MothCyan/PerfAgent-Unity
B
Unity Editor performance profiling agent: captures frames, produces rule-based findings with evidence chains and one-click fix plans, optional LLM and MCP integration
2026-10-02
cmoraes10/loci
B
Typed long-term memory for AI agents. One core, an MCP server, and a Hermes plugin.
2026-10-02
justxor/claude-code-pro-course
C
Claude Code PRO — a complete course and guide in Russian: CLAUDE.md, settings, skills, subagents, hooks, MCP, plugins, CI. 8 labs, a prompt library, and a ready-made starter-kit. Free ChatGPT courses here -
2026-09-11
Akxan/google-seo-mcp
B
SEO & GEO MCP server for Claude, Codex, Cursor and any MCP client: Google Search Console, Google Analytics 4, PageSpeed Insights, Core Web Vitals, structured data, llms.txt, AI crawler checks, WordPress (Yoast, WP-CLI over SSH) and GitHub — 80 tools for technical SEO, content optimization and generative engine optimization
2026-08-31
Dicklesworthstone/dwarf_fortress_mcp
B
A semantic, transactional, replayable MCP control plane that lets autonomous AI agents operate Dwarf Fortress as a long-lived civilization. Safe-Rust phase-0B scaffold: MVCC world state, witnessed semantic plans, evidence-backed effects, deterministic replay.
2026-08-28
ToolMonsters/hand-raisers
B
Claude Skill: find the people who publicly asked for what you sell this week, qualify each ask, check the competition, and draft the reply. Runs on Bright Data MCP.
2026-11-09
Saekisui/claude-p-pipeline
B
Use your own Claude subscription to wire claude -p into a complete chat pipeline: streaming, chain of thought, image sending, MCP, skills, reconnect after disconnection, process manager. From-scratch tutorial + runnable skeleton
2026-11-09
yanstd888/9routerx
B
9RouterX (9R Next Go Generation): Single-binary Go AI router, LLM gateway & 20-40% token saver. Route Claude Code, Cursor & Codex across 155 providers, 28 OAuth & 248 free models (24 keyless) — OpenAI, Claude, Gemini, DeepSeek, Groq, Ollama & MCP.
2026-10-30
Sheernox/cedr
B
Developer tools for humans and agents: route work to the right AI coding agent, merge multi-vendor reviews into one gate, and pin the skills and MCP servers agents load.
2026-10-29
KevinChu1110/driftnet
B
Drop AI tool links into any chat (LINE, Slack, Discord, Telegram). Get them sorted into your folders, explained and searchable. Any model or none, runs locally, MCP for agents.
2026-10-28
AISEO-VirtualabDigital/mcp-video-editor
B
Wag na kayo magbayad ng 5k PHP. Ito na — libre. MCP server that lets Cursor, Claude, Codex, Antigravity, OpenCode & KiloCode edit videos in CapCut and OpenCut. 50 tools, dry-run safe, path-traversal hardened.
2026-10-20
EliasCai/mcd-timetravel-game
B
推门 · 麦记穿越局: a pixel-art price-matching and order-building mini-game connected to real-time McDonald's MCP data (entry for the McDonald's Programmer Creative Development Contest)
2026-10-20
linzhiqin2003/mcfit-meal-planner
B
Mai Mai fitness meal planner: Go To Gym不如Go To ᗰ! A McDonald's ordering Skill perfect for gym-goers with a big appetite! Whether bulking or cutting, just tell it your calorie, protein and budget needs for the meal, and it calculates nutrition and recommends money-saving combos. Even better, its nutrition calculation is precise down to removing sauces/toppings, and it gives meal-splitting suggestions, reducing food waste while controlling calorie intake. It builds training-plan-style ordering plans based on the McDonald's China MCP.
2026-10-14
youyinchenxi/mcd-tablemate
B
Mai Table Buddy: coordinates the tastes and budgets of 2–6 people, verifies the whole order price with the McDonald's MCP, and replans after order changes.
2026-10-13
ringozzt/rea-research
B
REA (Reverse Engineer Anything) deep technical research: an MCP toolchain that lets AI coding agents reverse-engineer software without source code
2026-10-04
sepehr071/snapp-mcp
B
Unofficial read-only MCP server for Snappfood & SnappMarket: search food and groceries, compare prices, find deals.
2026-09-25
XiaoPuOuO/openchatx-mcp
B
Turn ChatGPT into a local agent runtime. Operate your computer, use local tools, discover MCP servers, and delegate work to your own models through one MCP connection.
2026-09-15
Kerneta/daidocs
B
Open plain-text file format for AI memory. Your assistant's long-term memory as .dai files on your disk: readable by Claude, GPT, Gemini, Cursor, local models and grep (all LLM models work). MCP server + hooks for Claude Code, Claude Desktop, Cursor, Windsurf, Codex. 83% LongMemEval-S (GPT-4o), 92% (Claude Fable 5), 10x fewer tokens.
2026-09-08
Show HN: Send flowers from your AI agent and make your mum happy
C
Hi, I have created an MCP for AI agents to send flowers for your mum’s birthday, for a great customer who just renewed his contract or what ever you can think of! I created this after working on a family AI assistant (hermo.ai) which desperately needed to trigger something tangible - like a flower delivery. You can send flowers without having to create an account to make it easy to get started. Currently you can send one type of bouquet in the USA ($100), UK(£100), Germany(€100), Switzerland and Italy. Link to the new service is here: https://preznt.net The goal of this service is to have AI agents send flowers. It’s pretty simple. I have lots of ideas how to extend and order all sorts of things directly from an MCP, like chocolates, gift boxes, etc. Let me know what you think! I'd really like some feedback. Fabian
2026-09-05
parallel-web/search-mcp
B
Free web search and page fetching for agents. Hosted MCP, no API key required.
2026-10-29
sepehr071/iran-gold-mcp
C
Unofficial read-only live 18k gold prices on Iranian sites: Milli.gold, Wallgold, Melligold, Daric.