You do not want to miss the MCP updates & announcements, from VS Code, Anthropic, AgentOps, Letta, WorkOS, morphIS, Nimble and more this week!
I summarized everything you need to know below.
(save for later)
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Anthropic just dropped a free course on building AI Apps with MCP. đ
Learn to connect AI Agents to external data sources like GitHub, Google Docs, local files using MCP.
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Running mlx-lm locally with MCP using @huggingface's tiny-agents is actually pretty easy and works quite well.
@awnihannun shares a demo running Qwen3 4B with an MCP client for the local file system.
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With MCP, you can connect your agent to an entire ecosystem of tools.
Tool rules in @Letta_AI allow you to specify constraints on your agent's tool calling, so you can trade off autonomy and control.
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Bring your Apple apps into the agent ecosystem.
@mattt from @loopworkai demos iMCP, a native macOS app that connects services like Messages and Contacts to MCP agents using the Swift MCP SDKâyes, even for AI-powered birthday reminders. @WorkOS
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@WorkOSâs ââvery own @cmatheson built mcp(.)shop with Next.js and WorkOS @AuthKitâshowing how easy it is to plug MCP into a real app with AI checkout and modern auth.
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@chetan_guevara dropped something theyâve been building: MonetizedMCP (monetizedmcp(.)org) â an open-source extension of MCP that brings native, programmatic payments to any MCP server.
Just dropped something weâve been building: MonetizedMCP () â an open-source extension of MCP that brings native, programmatic payments to any MCP server
âą Payment-rail agnostic
âą Doesnât change the MCP spec
âą Built for devs and agents to monetize seamlessly
If youâre exploring payments or building with MCP, would love your thoughts
Here's a demo of it in action:
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@Morphisdotai is built for extensibility. From financial tools to robotic controllers, agents can plug into real-world systems using add-ons powered by the Model Context Protocol (MCP).
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Free Open Source Course on MCP â Built with Knowledge Graphs!
@dani_avila7 created a complete course on how to build an MCP Client and MCP Server using the Python SDK.
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@mattgperry introduces Motion for AI â supercharge your LLM with the new Motion MCP.
Plus Motion + Rules and vibe coding guides for @framer, @v0, and @figma
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Build your first AI agent + MCP Server in Python. @svpino shares everything you need to build your first AI agent in less than 20 minutes
Build your first AI agent + MCP Server in Python.
Here is everything you need to build your first AI agent in less than 20 minutes.
About the code you'll see here:
1. I used Google ADK with Gemini Flash to power the agent
2. The agent connects to an MCP server
3. It also uses two custom tools to do its work
4. You can see everything the agent does thanks to @Cometml's Opik library
Here is the video, free for you to watch.
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A redditor just dropped an MCP server that lets Claude Code and Gemini 2.5 Pro work together, and the results are seriously next-level.
Claude kicks things off with planning, while Gemini adds deep reasoning and context. @HarshaGadekar
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@ProfBuehlerMIT announced that the local mistral-rs inference server now has full, built-in đ MCP support - the emerging AI agent interface or âUSB-C for AIâ!
Excited to announce that the local mistral-rs inference server now has full, built-in đ MCP support - the emerging AI agent interface or âUSB-C for AIâ! You can seamlessly use your local LLM with any MCP, locally hosted or in the cloud, with automatic tool detection. Just specify the MCP server source, and your local LLM can take full advantage. Plus, with mistral-rs you can use multimodal models like Gemma 3 for vision or Phi 4 for vision + audio. All supported out of the box with prebuilt PyPi wheels or Docker containers.
1ïžâŁIt's all automatic, simply specify the MCP server source and mistral-rs will do the rest and register all tools hosted by the server
2ïžâŁHTTP/WebSocket/Process transports
3ïžâŁZero-config setup with smart defaults
4ïžâŁSecure with bearer tokens & custom headers
You can easily build local AI reasonsing systems.
Excited to see what you all build with this!
đ Link to open source code in reply.
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@trillhause_ built an internal tool to connect any remotely hosted MCP server and test it against multiple agent architectures to perform evals.
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@ilChemla has been building Nimble MCP Server since joining nimbleway(.)com
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@freshlimesofa built a couple of MCP servers so Claude can read my code, summarize it, and write notes straight into Obsidian.
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@adityaa2011 turned a free day into a 12-hour hackathon and built an MCP server for @Core_LN in Rust.
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