Mcp Server Copilot

Created By

tshu-wa year ago

A meta Model Context Protocol (MCP) server that seamlessly scales LLMs to 1000+ MCP servers through automatic routing without expose all servers and tools to LLMs directly.

Overview Content Tools Comments

Overview

What is MCP Server Copilot?

MCP Server Copilot is a meta Model Context Protocol (MCP) server designed to scale large language models (LLMs) across 1000+ MCP servers through automatic routing, ensuring that not all servers and tools are directly exposed to the LLMs.

How to use MCP Server Copilot?

To use MCP Server Copilot, you can install it via pip or use the recommended uv tool. After installation, configure your MCP Client settings to point to the MCP Server Copilot.

Key features of MCP Server Copilot?

Automatic routing of user queries to the appropriate MCP servers.
Ability to execute specific tools on designated servers based on routing results.
Supports configuration through both uv and pip installations.

Use cases of MCP Server Copilot?

Efficiently managing and routing queries across multiple LLM servers.
Enhancing the performance of applications that rely on large-scale language models.
Simplifying the integration of various tools and servers in a cohesive manner.

FAQ from MCP Server Copilot?

How do I install MCP Server Copilot?

You can install it using pip with the command pip install mcp-server-copilot or run it directly using uv.

Can I customize the routing settings?

Yes! You can configure the routing settings in the config.json file as per your requirements.

Is there a limit to the number of servers I can use?

No, MCP Server Copilot is designed to scale to 1000+ servers.

Try in Playground

Server Config

{
  "mcpServers": {
    "copilot": {
      "command": "uvx",
      "args": [
        "mcp-server-copilot"
      ]
    }
  }
}

Project Info

Created At

a year ago

Updated At

a year ago

Author Name

tshu-w

Star

-

Language

-

License

-

Category

research-and-data

Tags

Homepage

https://github.com/tshu-w/mcp-copilot

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