Awesome MCP Servers
Every MCP server labelled with what it can touch
MCP servers plug into Claude Desktop, Claude Code and other AI clients, and some of them can change real things: your files, repositories, databases or accounts. Awesome MCP Servers is a hand-checked catalog that tells you before you connect one.
Each of the 99 servers carries labels: official or community, hosted or local, read-only or mutating, paid account needed, crypto payment taken. They sit in 16 categories, from files and web search to databases, design and infrastructure, and every link is re-checked.
The list is free and MIT-licensed. Search and filter it on brethof.ai, or read it on GitHub, where anyone can add a server with a pull request or an issue.
Features
99 MCP servers, each checked by hand
Labels for publisher (official or community), where it runs (hosted or local) and what it can change (read-only or mutating)
Flags for paid accounts and crypto payment
16 categories, with search and filters on brethof.ai
Every link re-checked
Free, MIT-licensed, open to submissions on GitHub
Use Cases
Pick an MCP server for Claude Desktop or Claude Code without reading every README
Check what a server can change before you give it access
Find a local server instead of a hosted one, or an official one instead of a community one
Get your own MCP server listed with a pull request or an issue
Comments
Hi Fazier! The big MCP directories list thousands of servers, which is great for finding one but not for trusting one. We went the other way: fewer servers, each checked against its own source, each labelled with who publishes it, where it runs and whether it can change anything. The list is free and MIT-licensed. If you build an MCP server, send it in with a pull request or an issue on GitHub and we'll check it. What do you look at first before you connect a new MCP server to your AI client?
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Comments
Hi Fazier! The big MCP directories list thousands of servers, which is great for finding one but not for trusting one. We went the other way: fewer servers, each checked against its own source, each labelled with who publishes it, where it runs and whether it can change anything. The list is free and MIT-licensed. If you build an MCP server, send it in with a pull request or an issue on GitHub and we'll check it. What do you look at first before you connect a new MCP server to your AI client?
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