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MCP server Β· Browser

AgentHotspot

by Β· github.com/agenthotspot/agenthotspot-mcp

πŸ” MCP server to search 6,000+ AI agent MCP connectors from AgentHotspot.com Marketplace

Unclaimed MIT last commit 9 months ago browser
InstallView source
53Fair

Scored 2 days ago Β· breakdown

About AgentHotspot

AgentHotspot is an MCP server published by agenthotspot in the Browser category: πŸ” MCP server to search 6,000+ AI agent MCP connectors from AgentHotspot.com Marketplace.

The repository has 3 stars and 4 forks, with the last commit 9 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/agenthotspot/agenthotspot-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about AgentHotspot

Powered by Claude · Grounded in docs

I know everything about AgentHotspot. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 20 hours ago. Heuristics on the source, not an audit.

  • βœ“README presentThe repository ships documentation.
  • βœ“License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • βœ“No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

🌟 What is AgentHotspot?

AgentHotspot a marketplace for AI agent developers. It provides:

  • πŸ”Œ 6,000+ curated MCP connectors ready to connect and integrate for agent builders
  • πŸš€ One-click integration with Claude Desktop, OpenAI Agents, n8n, and more
  • πŸ’° Instant Monetization tools for MCP connector creators
  • πŸ“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.

✨ Features

  • πŸ” Search Connectors β€” Query the AgentHotspot catalog with natural language
  • πŸ“¦ Lightweight β€” Minimal dependencies, easy to install
  • πŸ”§ MCP Compatible β€” Works with any MCP-compatible client

πŸ“¦ 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 .

πŸ”§ 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())

πŸ—‚οΈ Project Structure

agenthotspot-mcp/
β”œβ”€β”€ src/
β”‚   └── agenthotspot_mcp/
β”‚       β”œβ”€β”€ __init__.py      # Package exports
β”‚       β”œβ”€β”€ __main__.py      # Entry point
β”‚       └── server.py        # MCP server implementation
β”œβ”€β”€ examples/
β”‚   β”œβ”€β”€ claude_config.json   # Claude Desktop config example
β”‚   └── langchain_example.py # Python langchain usage example
β”œβ”€β”€ pyproject.toml           # Package configuration
β”œβ”€β”€ requirements.txt         # Dependencies
β”œβ”€β”€ LICENSE                  # MIT License
β”œβ”€β”€ 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

πŸ“„ License

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

πŸ”— Links

README fetched from the repository 20 hours ago. The original is authoritative.

Questions

About AgentHotspot

How do I install AgentHotspot?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is AgentHotspot safe to use with an AI agent?

Its trust score is 53 out of 100 (fair). It passes 3 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is AgentHotspot still maintained?

The last commit was 9 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.