AgentHotspot
AI 与智能体by agenthotspot
Search thousands of MCP connectors from the AgentHotspot marketplace via your AI agent.
什么是 AgentHotspot?
Search thousands of MCP connectors from the AgentHotspot marketplace via your AI agent.
README
🌟 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.
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - 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
<p align="center"> <strong>Built with ❤️ by the <a href="https://agenthotspot.com">AgentHotspot</a> team</strong> </p> <p align="center"> <a href="https://agenthotspot.com"> <img src="https://img.shields.io/badge/Discover_MCP_Connectors-AgentHotspot-blue?style=for-the-badge" alt="Discover Connectors"> </a> </p> <!-- mcp-name: io.github.agenthotspot/agenthotspot-mcp -->
常见问题
AgentHotspot 是什么?
Search thousands of MCP connectors from the AgentHotspot marketplace via your AI agent.
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