MCP Server Copilot

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.

Components

Tools

• router-servers: Route user query to appropriate MCP servers.

  • query (string, required): User's query to find relevant servers.

  • top_k (integer, optional): Maximum number of servers to return (default: 5).

• route-tools: Route user query to appropriate MCP tools across all servers.

  • query (string, required): User's query to find relevant tools.

  • top_k (integer, optional): Maximum number of tools to return (default: 5).

• execute-tool: Execute a specific tool on a specific server based on previous routing results.

  • server_name (string, required): Name of the server hosting the tool.

  • tool_name (string, required): Name of the tool to execute.

  • params (object, optional): Parameters to pass to the tool, as a key-value dictionary (default: null or empty object).

Related MCP server: mcp-llm

Installation

Using uv (recommended)

When using uv no specific installation is needed. We will use uvx to directly run mcp-server-copilot.

Using PIP

Alternatively you can install mcp-server-copilot via pip:

pip install mcp-server-copilot

After installation, you can run it as a script using:

python -m mcp_server_copilot

Configuration

Copy config/config.sample.json to ~/.config/mcp-server-copilot

Add to your MCP Client settings:

{
  "mcpServers": {
    "copilot": {
      "command": "uvx",
      "args": ["mcp-server-copilot", "--config", "~/.config/mcp-server-copilot/config.json"]
    }
  }
}

{
  "mcpServers": {
    "copilot": {
      "command": "python",
      "args": ["-m", "mcp_server_copilot", "--config", "~/.config/mcp-server-copilot/config.json"]
    }
  }
}

TODOs

• Add Dockerfile

• Tune prompt and add show cases

• Manage Servers more easily

• Add Semantic Routing

• Add Planning Capabilities

• Resources & Prompts