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.<p>I initially built the GitHub repo awesome-mcp-servers (<a href="https://github.com/punkpeye/awesome-mcp-servers/">https://github.com/punkpeye/awesome-mcp-servers/</a>), 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 servers to determine the tools, resources, and prompts they provide, inferring required configurations, and checking dependencies for vulnerabilities. These features are designed to make it easier for people to trust and use these servers in production environments.<p>While an open-source protocol is fantastic for innovation, I also think we need a centralized channel for addressing critical issues like security vulnerabilities, dependency management, and user support. My hope is that this directory not only grows with help from contributions, but also becomes a trusted resource for anyone entering the MCP space. If you're working on MCP servers or are interested in the project, I'd love to hear your thoughts!