MCPHubs
Integrates with OpenAI-compatible APIs to automatically generate functional summaries and descriptions for registered MCP servers.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCPHubslist all registered MCP servers"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
The Problem
MCP is powerful — but naive aggregation is not. When you wire up 10+ MCP Servers, your LLM is force-fed hundreds of tool definitions on every single request — burning tokens, inflating costs, and degrading decision quality.
The Solution: Progressive Disclosure
Instead of dumping every tool into the system prompt, MCPHubs exposes a lean surface of just 3 meta-tools. Your AI discovers servers, inspects their capabilities, and calls the right tool — all on demand, with zero upfront overhead.
┌─────────────────────────────────────────────────────────────────────┐
│ Without MCPHubs │
│ │
│ AI System Prompt: │
│ ├── tool_1 definition (search) } │
│ ├── tool_2 definition (fetch_article) } 150 tool schemas │
│ ├── tool_3 definition (create_issue) } = ~8,000 tokens │
│ ├── ... } EVERY request │
│ └── tool_150 definition (run_analysis) } │
└─────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────┐
│ With MCPHubs │
│ │
│ AI System Prompt: │
│ ├── list_servers "discover servers (with search)" } │
│ ├── list_tools "inspect a server's tools" } 3 tools │
│ └── call_tool "invoke any tool" } ≈ 300 tokens│
│ │
│ AI discovers and calls the right tool when needed. Not before. │
└─────────────────────────────────────────────────────────────────────┘How It Works
MCPHubs collapses all your MCP Servers into 3 meta-tools:
Meta-Tool | Purpose |
| Discover MCP Servers (supports fuzzy search by name/description) |
| Inspect tools on a specific server |
| Invoke any tool on any server |
The AI explores your tool ecosystem on demand — it calls list_servers to see what's available, drills into a server with list_tools, and invokes the right tool via call_tool. No upfront cost, no bloat.
Scales to hundreds of servers.
list_serversreturns up to 20 results by default, along with the total count. When the AI sees more servers exist than shown, it automatically narrows results with the optionalqueryparameter — no extra tools needed.
Don't need progressive disclosure? Set
MCPHUBS_EXPOSURE_MODE=fulland MCPHubs becomes a straightforward aggregation gateway — all tools from all servers exposed directly.
✨ Features
🎯 Progressive Disclosure | 3 meta-tools, infinite capabilities. Tools loaded on demand |
🔀 Multi-Protocol Gateway | Unifies stdio, SSE, and Streamable HTTP behind one endpoint |
🖥️ Web Dashboard | Modern Next.js UI for managing servers, bulk import/export |
📦 One-Click Import | Auto-detects Claude Desktop, VS Code, and generic JSON configs |
🤖 LLM Descriptions | Auto-generates server summaries via OpenAI-compatible APIs |
🔐 API Key Auth | Bearer Token protection on the |
🌟 ModelScope Sync | Import from ModelScope MCP Marketplace |
🏗 Architecture
AI Client ──▶ Streamable HTTP ──▶ MCPHubs Gateway ──┬─ stdio servers
│ ├─ SSE servers
PostgreSQL └─ HTTP servers
│
Web Dashboard💻 CLI
Call MCP tools directly from your terminal — no AI client needed.
npm i -g mcphubs
mcphubs config --url http://localhost:8000 --token "YOUR_ADMIN_TOKEN"# Install and manage servers
mcphubs install github -e GITHUB_TOKEN=xxx -- npx -y @modelcontextprotocol/server-github
mcphubs install --transport sse remote-server http://example.com/sse
mcphubs install --from claude_desktop_config.json
mcphubs remove github
# Call and run
mcphubs list # List all servers
mcphubs tools github # List tools for a server
mcphubs call github.search_repositories query=test # Call a toolThe CLI uses the Admin Token (Settings → Security), not the MCP API Key. See CLI docs for details.
🚀 Quick Start
Docker Compose (Recommended)
git clone https://github.com/7-e1even/MCPHubs.git && cd MCPHubs
cp .env.example .env # edit as needed
docker compose up -dOpen http://localhost:3000 — login with admin / admin123.
Local Development
pip install -r requirements.txt
cp .env.example .env
python main.py servecd web
npm install
npm run devcd web && npm install && npm run build && npm run start🔌 Connect Your AI Client
Add MCPHubs as a single MCP endpoint:
Cursor / Windsurf
{
"mcpServers": {
"mcphubs": {
"type": "streamable-http",
"url": "http://localhost:3000/mcp"
}
}
}Claude Code
claude mcp add --transport http mcphubs http://localhost:3000/mcpWith API Key authentication:
claude mcp add --transport http --header "Authorization: Bearer YOUR_API_KEY" mcphubs http://localhost:3000/mcpVS Code
{
"mcp": {
"servers": {
"mcphubs": {
"type": "streamable-http",
"url": "http://localhost:3000/mcp"
}
}
}
}That's it. Your AI now has access to every tool on every server through progressive discovery — without seeing any of them upfront.
⚙️ Configuration
Variable | Default | Description |
|
|
|
|
| PostgreSQL connection string |
| (empty) | Bearer Token for |
|
| Listen address |
|
| Listen port |
| (random) | JWT signing secret for dashboard |
|
| Dashboard admin username |
|
| Dashboard admin password |
📡 Management API
# List all servers
curl http://localhost:8000/api/servers
# Register a new server
curl -X POST http://localhost:8000/api/servers \
-H "Content-Type: application/json" \
-H "Authorization: Bearer <JWT_TOKEN>" \
-d '{"name": "my-server", "transport": "sse", "url": "http://10.0.0.5:3000/sse"}'
# Export config (claude / vscode / generic)
curl http://localhost:8000/api/servers/export?format=claude
# Health check
curl http://localhost:8000/api/health🤝 Contributing
Contributions are welcome! Feel free to open issues and pull requests.
📄 License
This server cannot be installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/7-e1even/MCPHubs'
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