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mcpmcp-server

mcpmcp-server

Local
github.com/glenngillenDeveloper Tools43Updated 79w ago
Repository

About mcpmcp-server

mcpmcp-server is an MCP server for discovering, setting up and connecting other MCP servers to clients. It is aimed at users who want to add MCP tools to their daily workflow. The README provides a configuration example that connects through mcp-remote.

Key features

  1. 01Discover MCP servers
  2. 02Set up MCP servers for clients
  3. 03Connect through mcp-remote
  4. 04Claude Desktop configuration example

Use cases

  1. 01Adding an MCP server entry to Claude Desktop
  2. 02Finding MCP servers to connect to a client

MCP support

This is a remote MCP server reached by clients through npx mcp-remote at https://mcpmcp.io/mcp.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "mcpmcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote"
      ]
    }
  }
}
Run commandnpx -y mcp-remote

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmmcp-remote

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

mcpmcp-server

Discover, setup, and integrate MCP servers with your favorite clients. Unlock the full potential of AI in your daily workflow.

Installation/usage:

Update the configuration of your MCP client to the following:

{
  "mcpServers": {
    "mcpmcp": {
      "command": "npx",
      "args": ["-y", "mcp-remote@latest", "https://mcpmcp.io/mcp"]
    }
  }
}

(note: this config definitely works for Claude Desktop on macOS. If you need variations for other apps or platforms check the homepage

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.