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Dev tools · February 20, 2026

mcpdrop.com

The MCP server directory — 166+ servers, one place

What it does

MCP (Model Context Protocol) is how AI agents connect to the real world — databases, browsers, APIs, search, Slack, whatever. The ecosystem exploded and nobody built a proper directory. So we did. 166 servers across 12 categories. Searchable, filterable, free to list. If your AI agent needs to talk to something, there's probably already an MCP server for it. Now there's one place to find them.

Does the same job

all alternatives →
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  • MA
    Mcp-Agent – Build effective agents with Model Context Protocol2025 · github.com · ▲80

    Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…

  • AS
    Anthropic's MCP Server Directory2024 · glama.ai · ▲11

    I started this project because I believe MCP has the potential to transform how AI models interact with external resources, but the ecosystem is still very fragmented. There's no central place to discover and compare all the server implementations available, which makes adoption and experimentation harder for developers. I initially built the GitHub repo awesome-mcp-servers (https://github.com/punkpeye/awesome-mcp-servers/), and it's been amazing to see the community contribute to it. Now, I'm taking it further with a directory that automates many tasks—introspecting…

  • RA
    Representing Agents as MCP Servers2025 · github.com · ▲58

    Hey HN! A few months ago we shared mcp-agent (https://github.com/lastmile-ai/mcp-agent) [1][2], a lightweight framework that implements every agent pattern from Anthropic’s Building Effective Agents blog [3] and handles MCP server/client management seamlessly. Our core bet is that connecting LLMs to tools, resources, and external systems will soon be MCP-native by default. Today we're launching a significant update: Agents as MCP servers. Currently "agentic" behavior exists only on the MCP client side – clients like Claude or Cursor use MCP servers to solve tasks.…

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