Router

by chatmcp

2 stars
19.3k downloads
Not rated
GitHub Website

About

Provides a proxy service that connects local MCP clients to remote tool servers through a central routing service, eliminating the need to run your own server infrastructure.

Details

Author
chatmcp
Repository
chatmcp/mcp-server-router
GitHub stars
2
Downloads
19,323
License
MIT License
Categories
Developer Tools, Community, Design, AI, Communication, Frontend, Security, Other

- Acts as a proxy for remote MCP servers
- Uses server keys obtained from MCP.so
- Works with any MCP client (Claude Desktop shown)
- Simple setup via one-line npx command
- Supports debugging with MCP Inspector

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Router
    Command (node, npx, python, etc.) node
    Arguments
    • Argument 1 /path/to/mcprouter/build/index.js

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mcprouter": {
      "command": "/path/to/mcprouter/build/index.js"
    }
  }
}

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "router": {
            "cwd": "optional",
            "env": {},
            "args": [
                "/path/to/mcprouter/build/index.js"
            ],
            "command": "node"
        }
    }
}

Linux

{
    "cwd": "optional",
    "env": [],
    "args": [
        "/path/to/mcprouter/build/index.js"
    ],
    "command": "node"
}

Macos

{
    "cwd": "optional",
    "env": [],
    "args": [
        "/path/to/mcprouter/build/index.js"
    ],
    "command": "node"
}

Windows

{
    "cwd": "optional",
    "env": [],
    "args": [
        "/c",
        "node",
        "/path/to/mcprouter/build/index.js"
    ],
    "command": "cmd"
}
click`Connect`to generate your exclusive server_key. ``` `{ "mcpServers": { "fetch": { "command": "npx", "args": ["-y", "mcprouter"], "env": { "SERVER_KEY": "xxx" } } } }` ``` To use with Claude Desktop, add the server config: On MacOS:`~/Library/Application Support/Claude/claude_desktop_config.json`On Windows:`%APPDATA%/Claude/claude_desktop_config.json` ``` `{ "mcpServers": { "mcprouter": { "command": "/path/to/mcprouter/build/index.js" } } }` ``` Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the[MCP Inspector, which is available as a package script: The Inspector will provide a URL to access debugging tools in your browser. This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases. Create crafted UI components inspired by the best 21st.dev design engineers. Bring agent evaluations, observability, and synthetic test set generation directly into your IDE for free with Galileo's new MCP server An MCP server to help AI assistants to answer questions and generate AccelByte Extend SDK code more effectively . MCP server for AI Diagram Maker — generate beautiful software engineering diagrams directly inside Cursor, Claude Desktop, Claude Code, or any MCP-compatible AI agent ALAPI MCP Tools,Call hundreds of API interfaces via MCP AI-powered SVG animation generator that transforms static files into animated SVG components using the Allyson platform MCP server that gives AI assistants on-demand access to 1,500+ amCharts docs, ~300 code examples, and 1000+ class API references. APIMatic MCP Server is used to validate OpenAPI specifications using APIMatic. The server processes OpenAPI files and returns validation summaries by leveraging APIMatic’s API. One shared context layer for AI agents and humans — live API specs, DB schemas, and versioned contracts across repos so every agent and teammate works from the same source of truth. Build and deploy full-stack Next.js apps with 98 tools for React, AWS, and MongoDB](https://github.com/modelcontextprotocol/inspector)
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