Anthropic's MCP Server Directory
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…
Anthropic's MCP Server Directory launched on December 17, 2024 with 11 votes, #1,640 of 5,365 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Anthropic's MCP Server Directory is a searchable hub for discovering and comparing Model Context Protocol server implementations. It helps developers find and evaluate servers that extend AI model capabilities by automatically documenting their tools, resources, and configurations. The directory also checks for security vulnerabilities in dependencies, making it easier to identify and trust servers suitable for production use. It builds on the community-driven awesome-mcp-servers GitHub repository.
written from the facts on this page · September 2026
From the sources
Everything MCP – servers updated daily. The most comprehensive registry of Model Context Protocol (MCP) servers, clients, tools, and integrations.
In the maker’s words, at launch
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…
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MCP Server with HTTP support instead of stdio/sse2025 · twitter.com · ▲11Admittedly I work on this, but I anthropic's decision to finally embrace http, auth (at least a little), and other RFCs that are coming out is just great. With OpenAI behind it too, this ecosystem will be built around projects like this. Not saying it's MCP or not, but it'll be one of them
- GSGuardiAgent – Sandboxing / permission model for MCP serversNov 2025 · guardiagent.com · ▲9
Anthropic's Model Context Protocol (MCP) has made it easy to spin up servers that expose tools and data to LLMs. A lot of these MCP servers run locally because they need access to your files, shell, browser, etc. The problem: they typically run with the same privileges as your user. If a server is buggy, misconfigured, or prompt-injected, it can do anything you can do: read SSH keys, exfiltrate dotfiles, poke around in private repos, etc. Our research group is working on this by adding a security manifest (inspired by the Android app manifest) plus a local policy enforcement engine that…
Representing Agents as MCP Servers2025 · github.com · ▲58Hey 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.…
MCP Cloud2025 · mcp-cloud.ai · ▲52Deploy Model Context Protocol (MCP) servers with ease. Scale your AI models seamlessly with our cutting-edge platform.
- OSOpen-Source MCP Server for Context and AI Tools2025 · ▲43
Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video
Source: Show HN post ↗ · launch text quoted in part
