Show HN: Anthropic's MCP Server Directory
The Model Context Protocol (MCP) by Anthropic enables AI models to interact with resources through standardized servers, featuring 129 servers for various functionalities, primarily supported in Claude's desktop client.
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The Model Context Protocol (MCP) is an open protocol developed by Anthropic that allows AI models to interact with various resources through standardized server implementations. This article highlights a collection of both production-ready and experimental MCP servers that enhance AI capabilities by enabling file access, database connections, API integrations, and other contextual services. Currently, the adoption of MCP is in its early stages, with full support primarily available in Claude's desktop client. The long-term vision for MCP is to serve as a repository of extensions for AI agents, primarily targeting engineers and open-source enthusiasts. The list includes 129 servers categorized by their functionalities, such as browser automation, cloud platforms, databases, and more. Each server is designed to provide specific integrations, such as managing tasks, accessing databases, or interacting with various APIs. However, users are cautioned that community servers are untested and should be used at their own risk. The MCP community is encouraged to join for support and updates.
- MCP is an open protocol for AI model interactions with various resources.
- The protocol aims to create a repository of extensions for AI agents.
- Currently, MCP is mainly supported in Claude's desktop client.
- The list features 129 servers with diverse functionalities.
- Users should exercise caution when using community servers due to untested status.
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3 commentsAs soon as I saw the MCP announcement - when dsp annoucned they had open sourced the repo - and started working on my own server [1]...it's quite interesting that anthropic has decided to open source this protocol. I have a couple of questions and if anyone from anthropic reads this please also let us know you're from anthropic.
1/ Why did you built a protocol like this without getting other LLM providers on board - because I believe that would have helped promoting and making this more of a unified effort, now it feels like Anthropic is running the show no?
2/ why is there a need to cenralize this now? surely anyone knows how to use npm or uvx - why do we need a directory? usually this means someone will be moderating this directory, but doesn't that defeat the purpose of letting people contribute (i.e. you will probably reach some bottleneck around validating each server...imagine if npm or pypi had to validate everything...)
3/ What are the plans for MCP long-term?
4/ Side-question: why isn't Anthropic pushing more on making it simple standardizing tools - i.e. openAI has Custom GPTs and they're basically a big RAG play but I can see how slowly these custom GPTs will be able to access more and more external services - what's the Anthropic equivalent?
Thanks for any partial answer, I'm on the MCP official discord too if anyone wants to geek out :)
[1] https://github.com/toolhouse-community/mcp-server-toolhouse
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Initial explorations of Anthropic's new Computer Use capability
Anthropic has launched the Claude 3.5 Sonnet model and a "computer use" API mode, enhancing desktop interaction with coordinate support while addressing safety concerns and performance improvements in coding tasks.
Introducing The Model Context Protocol
Anthropic has open-sourced the Model Context Protocol (MCP) to enhance AI assistants' integration with data systems, improving response relevance and enabling developers to create secure connections and build connectors.
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