MCP Server

An MCP server that provides a smart proxy to other mcp servers

Local serverstdioPython

What is the MCP MCP server?

If you already use MCP, the mcp mcp server is the piece that lets your assistant work with it directly. An MCP server that provides a smart proxy to other mcp servers.

What the server does

The --watch option monitors a directory for .yaml, .yml, or .json files containing upstream server configurations. Add, modify, or remove files to dynamically update the available servers at runtime.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • Config — The Config tool exposed by this server
  • Models — The Models tool exposed by this server

Installation

The server ships on PyPI as mcp-smart-proxy, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

Where it fits

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. MCP's toolset — Config, Models — is a fair guide to whether it matches your workflow. It is maintained by daedalus; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
ConfigThe Config tool exposed by this server.
ModelsThe Models tool exposed by this server.

How to install the MCP MCP server

{
  "mcpServers": {
    "smart-proxy": {
      "command": "uvx",
      "args": ["mcp-smart-proxy"]
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Example prompts to try

  • Use MCP to Config.
  • Use MCP to Models.

Frequently asked questions

It connects MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 2 tools (Config, Models) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP directly.