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About
MCP Plexus: Secure, Multi-Tenant MCP Server Framework for Modern AI
Build powerful, scalable, and secure Model Context Protocol (MCP) applications with ease. MCP Plexus is a Python framework built on the robust jlowin/fastmcp (FastMCP 2.7) library, designed to empower developers to deploy multi-tenant MCP servers that seamlessly integrate with external services via OAuth 2.1 and manage API key access for tools.
MCP Plexus extends the capabilities of FastMCP 2.7, providing a structured environment for creating sophisticated, multi-tenant AI backend systems. It allows you to define distinct, isolated environments (tenants) that can expose customized sets of tools, resources, and prompts to Large Language Models (LLMs) and AI agents.
Key differentiating features include:
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want MCP Plexus again. Will you remember where to find it?
Save it to your library and the next time you need MCP Plexus, it’s one tap away — 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.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” 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. MCP Plexus. 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 — 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:wong2/awesome-mcp-servers
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