Search thousands of MCP connectors from the AgentHotspot marketplace via your AI agent.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"agenthotspot": {
"args": [
"-m",
"agenthotspot_mcp"
],
"command": "python3"
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
AgentHotspot a marketplace for AI agent developers. It provides:
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
Be the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in search / ai-ml
Web and local search using Brave Search API
Production ready MCP server with real-time search, extract, map & crawl.
Workspace template + MCP server for Claude Code, Codex CLI, Cursor & Windsurf. Multi-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant.
Persistent memory using a knowledge graph
MCP Security Weekly
Get CVE alerts and security updates for Agenthotspot MCP Server and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
🔍 Search 6,000+ MCP connectors directly from your AI agent
Features • Quick Start • Installation • Usage • Contributing
AgentHotspot a marketplace for AI agent developers. It provides:
This MCP server allows your AI agents to search and discover oss connectors from the AgentHotspot marketplace.
git clone https://github.com/AgentHotspot/agenthotspot-mcp.git
cd agenthotspot-mcp
# Install dependencies
pip install -r requirements.txt
# Install module
pip install -e .
# Run directly
python3 -m agenthotspot_mcp
# Or using the script
python3 src/agenthotspot_mcp/server.py
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"]
}
}
}
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())
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