The open-source, community-driven platform for MCP server discovery. Learn about our mission to help the developer community.
When working with MCP servers, developers often face the uncertainty of choosing between various options without knowing their quality, reliability, or suitability for specific use cases. This lack of information can lead to wasted time, suboptimal choices, and frustration.
MCP Review is a community-driven repository where developers can rate and review Model Context Protocol (MCP) servers. Our mission is to overcome the challenge of using unknown products by providing a transparent platform for the developer community to share their experiences, insights, and recommendations.
By creating a centralized platform for ratings and reviews, we empower developers to make informed decisions. Through community contributions, we build a comprehensive knowledge base that helps everyone discover the best MCP servers for their AI workflows. Together, we transform the challenge of unknown products into an opportunity for collective learning and growth.
You can help by rating and reviewing the MCP servers you use. You can upload your own MCP servers to the platform and give users hints and tips on how to use your product; in this way, you can expand the outreach of your product and obtain direct feedback from your users.
MCP Review is fully open source under the MIT license. We believe in transparency, community collaboration, and building in public. You can explore the codebase, report issues, suggest features, or contribute directly on GitHub. Whether you're fixing a bug, improving documentation, or adding new features, every contribution matters.
Or better, who am I? I am ggange and I created MCP Review because I felt lost navigating the MCP ecosystem. With this platform, I would like to bring peer-review to MCP servers and help the community discover the best MCP servers for their AI workflows.
If you have any questions or suggestions, please feel free to contact me via LinkedIn, X or Reddit.