Back to MCP Servers
🔌

smart-mcp-proxy/mcpproxy-go

MITAPI key required

](https://glama.ai/mcp/servers/smart-mcp-proxy/mcpproxy-go) 🏎️ 🏠 🍎 🪟 🐧 - Local MCP proxy with BM25 tool filtering, quarantine security, activity logging, and web UI. Routes multiple servers throu

GoAI & LLMs

Install

npx -y smart-mcp-proxy-mcpproxy-go

Required environment variables

GITHUB_TOKENSet in your MCP config
OPENAI_API_KEYSet in your MCP config

claude_desktop_config.json

claude_desktop_config.json
{
  "mcpServers": {
    "smart-mcp-proxy-mcpproxy-go": {
      "command": "npx",
      "args": [
        "-y",
        "smart-mcp-proxy-mcpproxy-go"
      ],
      "env": {
        "GITHUB_TOKEN": "<YOUR_GITHUB_TOKEN>",
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
      }
    }
  }
}

Add this to your Claude Desktop config file. Find it at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS.

What this does

smart-mcp-proxy/mcpproxy-go exposes a set of tools to Claude over the Model Context Protocol. After you add it to claude_desktop_config.json (snippet above) and restart Claude Desktop, those tools become callable inside any conversation. That makes it useful when you want Claude to reach into other AI providers and LLM tooling without copy-pasting context every turn.

Requirements

This server needs the following environment variables to be set before it can run:

GITHUB_TOKEN
OPENAI_API_KEY

Set these via the env object in your MCP config (see claude_desktop_config.json snippet above).

Common use cases

  • Delegate reasoning to a different model or LLM provider from a Claude session
  • Pull live model documentation, rate limits, or usage data into context
  • Chain Claude with another agent or evaluation pipeline