MCPHub
MCPHub transforms scattered MCP servers into one unified platform. Connect your AI agent to a single endpoint and instantly unlock unlimited tools—no more juggling dozens of server configs. Hot-swap plugins without restart, proxy existing servers in
What is MCPHub?
MCPHub is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcphub transforms scattered mcp servers into one unified platform. connect your ai agent to a single endpoint and instantly unlock unlimited tools—no more juggling dozens of server configs. hot-swap p...
MCPHub transforms scattered MCP servers into one unified platform. Connect your AI agent to a single endpoint and instantly unlock unlimited tools—no more juggling dozens of server configs. Hot-swap plugins without restart, proxy existing servers in
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCPHub transforms scattered MCP servers into one unified pla
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcphubConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use MCPHub
MCPHub is a unified MCP gateway that aggregates multiple MCP servers behind a single endpoint, so AI agents only need one connection to access all your tools. It features a web dashboard for managing servers, hot-swap plugin loading without restarts, an AI-powered smart tool discovery endpoint, and a built-in CLI for scripting. Teams use it to eliminate the configuration sprawl of managing dozens of individual MCP server entries in their client configs and to enable dynamic tool routing across agents.
Prerequisites
- Docker installed (recommended) or Node.js 18+ with pnpm for local development
- An mcp_settings.json file listing the MCP servers you want to aggregate
- An MCP client such as Claude Desktop, Cursor, or any agent supporting SSE/HTTP MCP transport
- Port 3000 available on the host
Create an mcp_settings.json configuration file
Define the MCP servers you want MCPHub to aggregate. Each entry follows the standard MCP server spec with command, args, and optional env.
{
"mcpServers": {
"fetch": {
"command": "uvx",
"args": ["mcp-server-fetch"]
},
"time": {
"command": "uvx",
"args": ["mcp-server-time"]
}
}
}Run MCPHub with Docker
Start the MCPHub container, mounting your settings file. The dashboard will be available at http://localhost:3000.
docker run -p 3000:3000 \
-v ./mcp_settings.json:/app/mcp_settings.json \
-v ./data:/app/data \
samanhappy/mcphubLog in to the dashboard
Open http://localhost:3000 in your browser. The default login username is 'admin' and the password is either the value you set via the ADMIN_PASSWORD environment variable or a random value printed in the container logs on first startup.
Connect your MCP client to MCPHub
Point your AI agent to one of the MCPHub endpoints. Use the aggregate endpoint to expose all server tools, or the smart endpoint for AI-powered tool discovery.
# All tools aggregated:
http://localhost:3000/mcp
# AI-powered smart tool discovery:
http://localhost:3000/mcp/$smartConfigure Claude Desktop
Add MCPHub as a remote server in claude_desktop_config.json so Claude can access all aggregated tools through a single connection.
{
"mcpServers": {
"mcphub": {
"url": "http://localhost:3000/mcp",
"transport": "http"
}
}
}MCPHub Examples
Client configuration
Claude Desktop config pointing to the MCPHub aggregate endpoint.
{
"mcpServers": {
"mcphub": {
"url": "http://localhost:3000/mcp",
"transport": "http"
}
}
}Prompts to try
Example prompts once MCPHub is running with aggregated servers.
- "List all the tools available to you right now."
- "Fetch the content of https://example.com using the fetch tool."
- "What is the current time in Tokyo?"
- "Add a new MCP server to the hub without restarting anything."Troubleshooting MCPHub
Dashboard login fails with unknown password
If ADMIN_PASSWORD was not set, MCPHub generates a random password on first start. Check the container logs with 'docker logs <container-id>' to find the generated password.
Tools from a registered server are not appearing
Verify the server entry in mcp_settings.json is correct and that the command (e.g., uvx) is accessible inside the container. Mount any additional binaries or check that they are installed in the Docker image.
MCP client gets connection refused on port 3000
Ensure the Docker container is running and the -p 3000:3000 port mapping is active. If using a firewall, allow inbound connections on port 3000 from localhost.
Frequently Asked Questions about MCPHub
What is MCPHub?
MCPHub is a Model Context Protocol (MCP) server that mcphub transforms scattered mcp servers into one unified platform. connect your ai agent to a single endpoint and instantly unlock unlimited tools—no more juggling dozens of server configs. hot-swap plugins without restart, proxy existing servers in It connects AI assistants to external tools and data sources through a standardized interface.
How do I install MCPHub?
Follow the installation instructions on the MCPHub GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with MCPHub?
MCPHub works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is MCPHub free to use?
Yes, MCPHub is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
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