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MCP server to search and discover connectors from AgentHotspot.com marketplace

Project description

AgentHotspot Logo

AgentHotspot MCP Server

๐Ÿ” Search 6,000+ MCP connectors directly from your AI agent

AgentHotspot License Python MCP

Features โ€ข Quick Start โ€ข Installation โ€ข Usage โ€ข Contributing

agenthotspot.com


๐ŸŒŸ What is AgentHotspot?

AgentHotspot a marketplace for AI agent developers. It provides:

  • ๐Ÿ”Œ 6,000+ curated MCP connectors ready to connect and integrate for agent builders
  • ๐Ÿš€ One-click integration with Claude Desktop, OpenAI Agents, n8n, and more
  • ๐Ÿ’ฐ Instant Monetization tools for MCP connector creators
  • ๐Ÿ“Š Analytics dashboard to track usage and performance

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


โœจ Features

  • ๐Ÿ” Search Connectors โ€” Query the AgentHotspot catalog with natural language
  • ๐Ÿ“ฆ Lightweight โ€” Minimal dependencies, easy to install
  • ๐Ÿ”ง MCP Compatible โ€” Works with any MCP-compatible client

๐Ÿ“ฆ 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 .

๐Ÿ”ง 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())

๐Ÿ—‚๏ธ Project Structure

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

๐Ÿค 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

๐Ÿ“„ License

This project is licensed under the MIT License โ€” see the LICENSE file for details.


๐Ÿ”— Links


Built with โค๏ธ by the AgentHotspot team

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