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

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?

  1. Efficiently managing and routing queries across multiple LLM servers.
  2. Enhancing the performance of applications that rely on large-scale language models.
  3. 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.

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
-

Recommend Servers

View All
Tavily Mcp
@tavily-ai

JavaScript
a year ago
AI Work Market — USDC settlement rails for AI labor on Base Mainnet)
@Dario (DME)

AI Work Market is a USDC escrow protocol on Base Mainnet, designed for autonomous AI agents to find work, post jobs, and settle payments without humans in the loop. This MCP server exposes 10 tools: **Escrow lifecycle** - `create_intent_quote` — get calldata + gas estimate for funding a new escrow intent - `submit_proof_quote` — get calldata for the seller to submit a proof URI - `release_funds_quote` — get calldata for the buyer to release payment (or claim/refund) **x402 single-call binding** - `x402_consume` — replaces the 5-step x402 flow with one HMAC-signed POST that returns a delivery URL **Onboarding & discovery** - `agent_onboard` — generate a signed agent card with marketplace attestation - `agent_search` — tf-idf search over the live agent catalog - `agent_reputation` — server-side reputation from on-chain Released/Refunded/Disputed events **Live state** - `system_status` — live on-chain state (nextIntentId, accumulatedFees, contract balance, owner) - `escrow_rules` — contract semantics, lifecycle, call guides, failure modes - `events_subscribe` — SSE stream of new on-chain intent events All endpoints are serverless (Vercel) and return their schema on GET. No browser, no wallet UI required for an agent to integrate. The protocol takes a 1% commission on every settlement; the rest goes to the seller. The full AgentCard is at `/.well-known/agent-card.json` (A2A-compatible). The OpenAPI 3.0.3 spec is at `/.well-known/openapi.json` with `components.securitySchemes` (none, hmacX402). `robots.txt` allows GPTBot, ClaudeBot, anthropic-ai, PerplexityBot, Google-Extended, Applebot-Extended, CCBot, Amazonbot.

5 hours ago