About MCP Review

The Problem

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.

Our Philosophy

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.

Our Solution

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.

How you can help

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.

How you can contribute

We will soon open source the platform and you will be able to contribute to the project directly on GitHub.

Who we are

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.