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Magg: The MCP Aggregator
π§² Magg - The MCP Aggregator
//]: # ([](https://github.com/sitbon/magg/actions/workflows/test.yml)) [ ](https://pypi.org/project/magg/) [ ](https://deepwiki.com/sitbon/magg) [
](https://github.com/sitbon/magg/actions/workflows/test.yml) [
A Model Context Protocol server that manages, aggregates, and proxies other MCP servers, enabling LLMs to dynamically extend their own capabilities.
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: DevOps & Monitoring
Don't lose this
Three weeks from now, you'll want Magg again. Will you remember where to find it?
Save it to your library and the next time you need Magg, itβs one tap away β from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
β‘ Pro tip for geeks: add a-gnt π€΅π»ββοΈ as a custom connector in Claude or a custom GPT in ChatGPT β one click and your library is right there in the chat. Or, if youβre in an editor, install the a-gnt MCP server and say βuse my [bench name]β in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. Magg: The MCP Aggregator. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog β worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:punkpeye/awesome-mcp-servers
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