MCPHub with Windsurf

I came across mcphub today and got the motivation to try it out... I use AI tools like Windsurf and Roo across multiple devices and it'd be awesome to have a simple mcp config - ie. a centralized hub to serve all my mcp servers and BAM enter this github project. It was easy to spin up in docker, and then according to Windsurf's docs here the setup is just naming a server and passing a serverUrl






        
{
  "mcpServers": {
    "hub": {
      "serverUrl": "http://localhost:3000/sse"
    }
  }
}

Warning

The sse endpoint stuff is getting deprecated eventually - I didn't want to spend any time right now trying to get the newer things to work... future me/you will solve that problem

Setup

I ran this in compose with this file






        
services:
  mcphub:
    image: samanhappy/mcphub
    ports:
      - "3000:3000"
    volumes:
      - ./mcp_settings.json:/app/mcp_settings.json
      - ./data:/app/data
  qdrant:
    image: qdrant/qdrant
    container_name: qdrant
    restart: unless-stopped
    ports:
      - "6333:6333"
    deploy:
      resources:
        limits:
          memory: "500m"

And at present the mcp_settings.json file looks like this mostly:






        
{
  "mcpServers": {
    "docker-mcp": {
      "command": "uvx",
      "args": ["docker-mcp"]
    },
    "ragdocs": {
      "command": "node",
      "args": [
        "./node_modules/@qpd-v/mcp-server-ragdocs/build/index.js"
      ],
      "env": {
        "QDRANT_URL": "http://localhost:6333",
        "EMBEDDING_PROVIDER": "ollama",
        "OLLAMA_URL": "http://localhost:11434"
      },
      "alwaysAllow": [
        "search_documentation",
        "list_sources",
        "test_ollama",
        "add_documentation"
      ],
      "disabled": false
    },
    "sequential-thinking": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-sequential-thinking"]
    }
  },
  "users": [
    {
      "username": "admin",
      "password": redacted,
      "isAdmin": true
    }
  ]
}

Note

I assume here you have ollama running for ragdocs (in my screenshot you see I actually don't right now anyways)

docker compose up and we're cooking at http://localhost:3000