AgentHotspot MCP Server

🔍 Search 6,000+ MCP connectors directly from your AI agent

Features • Quick Start • Installation • Usage • Contributing

agenthotspot.com

🌟 What is AgentHotspot?

AgentHotspot a marketplace for AI agent developers. It provides:

• 🔌 6,000+ curated MCP connectors ready to connect and integrate for agent builders
• 🚀 One-click integration with Claude Desktop, OpenAI Agents, n8n, and more
• 💰 Instant Monetization tools for MCP connector creators
• 📊 Analytics dashboard to track usage and performance

This MCP server allows your AI agents to search and discover oss connectors from the AgentHotspot marketplace.

✨ Features

• 🔍 Search Connectors — Query the AgentHotspot catalog with natural language
• 📦 Lightweight — Minimal dependencies, easy to install
• 🔧 MCP Compatible — Works with any MCP-compatible client

📦 Installation

Prerequisites

• Python 3.10+
• An MCP-compatible client (Claude Desktop, OpenAI Agents SDK, custom agents, etc.)

From Source

git clone https://github.com/AgentHotspot/agenthotspot-mcp.git
cd agenthotspot-mcp

# Install dependencies
pip install -r requirements.txt

# Install module
pip install -e .

🔧 Usage

Run the Server Independently

# Run directly
python3 -m agenthotspot_mcp

# Or using the script
python3 src/agenthotspot_mcp/server.py

With Claude Desktop

Add this configuration to your Claude Desktop config file:

macOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "agenthotspot": {
      "command": "python3",
      "args": ["-m", "agenthotspot_mcp"]
    }
  }
}

With LangChain

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient

async def main():
    client = MultiServerMCPClient({
        "agenthotspot": {
            "transport": "stdio",
            "command": "python3",
            "args": ["-m", "agenthotspot_mcp"],
        }
    })
    tools = await client.get_tools()
    print(tools)

    # Remaining code ... 
    # (see examples/langchain_example.py for full agent example)

asyncio.run(main())

🗂️ Project Structure

agenthotspot-mcp/
├── src/
│   └── agenthotspot_mcp/
│       ├── __init__.py      # Package exports
│       ├── __main__.py      # Entry point
│       └── server.py        # MCP server implementation
├── examples/
│   ├── claude_config.json   # Claude Desktop config example
│   └── langchain_example.py # Python langchain usage example
├── pyproject.toml           # Package configuration
├── requirements.txt         # Dependencies
├── LICENSE                  # MIT License
├── CONTRIBUTING.md          # Contribution guidelines
└── README.md               # This file

🤝 Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

This project is licensed under the MIT License — see the LICENSE file for details.

🔗 Links

• 🌐 Website: agenthotspot.com
• 📦 Connectors: Browse 6,000+ connectors
• 🐦 Twitter/X: @agenthotspot
• 🐙 GitHub: AgentHotspot
• 📧 Support: support@agenthotspot.com

Built with ❤️ by the AgentHotspot team