AgentHotspot

io.github.agenthotspotPublished by GitHub account agenthotspotv1.0.2Updated Oct 24, 2026

Search thousands of MCP connectors from the AgentHotspot marketplace via your AI agent.

The publisher's own server: Hotspot Creator Studio

VerifiedSTDIODesktop onlyWeb Search & ScrapingDeveloper Tools

Overview

AI-generated overview

A local MCP server that lets an assistant search the AgentHotspot marketplace catalog of MCP connectors in natural language.

What you can do
Search the AgentHotspot catalog of MCP connectors using natural-language queries and return matching connectors for discovery.
When to use it
Useful when you want an assistant to help find MCP connectors or integrations from the AgentHotspot marketplace while building agents.
Requirements
Runs as a local Python process; requires Python 3.10+ and an MCP-compatible client such as Claude Desktop or the OpenAI Agents SDK. No API keys or environment variables are declared.
Before you install
Search queries are sent to the AgentHotspot marketplace service, so treat them as data shared with a third party. The README also advertises monetization and analytics features for connector creators, which are outside this server's search function.

Installation

In SourceWeft

  1. Open AgentHotspot in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

[AgentHotspot Logo]

AgentHotspot MCP Server

🔍 Search 6,000+ MCP connectors directly from your AI agent

[AgentHotspot] [License] [Python] [MCP]

Features • Quick Start • Installation • Usage • Contributing

agenthotspot.com


🌟 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

bash
git clone https://github.com/AgentHotspot/agenthotspot-mcp.gitcd agenthotspot-mcp
# Install dependenciespip install -r requirements.txt
# Install modulepip install -e .

🔧 Usage

Run the Server Independently

bash
# Run directlypython3 -m agenthotspot_mcp
# Or using the scriptpython3 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

json
{  "mcpServers": {    "agenthotspot": {      "command": "python3",      "args": ["-m", "agenthotspot_mcp"]    }  }}

With LangChain

python
import asynciofrom 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.

  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

📄 License

This project is licensed under the MIT License — see the LICENSE file for details.


🔗 Links


Built with ❤️ by the AgentHotspot team

[Discover Connectors]

Source: README.md at commit 35a625e

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.2LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

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