How do I use AgentHotspot MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@AgentHotspot MCP Server find me an MCP connector for Stripe" 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.

AgentHotspot MCP Server by agenthotspot

🌟 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

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