AI Agent Marketplace Index MCP server

The MCP Server for AI Agent Marketplace Index provides a powerful search interface that allows AI assistants to discover available AI agents, tools, and use cases by keywords or categories. It helps you find specialized AI agents across domains like coding, HR, finance, healthcare, and more.

Installation

Prerequisites

• Python 3.10 or higher
• Microsoft Bing Search API key
• MCP-compatible client (e.g., Claude Desktop, Cursor)

Setup Steps

1. Clone the repository:

   git clone https://github.com/AI-Agent-Hub/ai-agent-marketplace-index-mcp.git
   

2. Install dependencies:

   uv venv
   source .venv/bin/activate  # On Windows: .venv\Scripts\activate
   uv pip install -e .
   

Usage

Starting the Server

Run the server using the following command:

uv run -m ai-agent-marketplace-index-mcp

For development purposes, you can also start it with:

cd ./ai-agent-marketplace-index-mcp/src/ai-agent-marketplace-index
mcp dev server.py

Configuring with Claude Desktop

To integrate with Claude Desktop, add the following configuration to your Claude Desktop configuration file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

{
    "mcpServers": {
        "ai-agent-marketplace-index-mcp": {
            "command": "uv",
            "args": [
                "--directory",
                "/ABSOLUTE/PATH/TO/PARENT/FOLDER/ai-agent-marketplace-index-mcp/src/ai-agent-marketplace-index",
                "run",
                "server.py"
            ]
        }
    }
}

Replace /ABSOLUTE/PATH/TO/PARENT/FOLDER/ with the actual path on your system.

Features

Search Functionality

The MCP Server offers powerful search capabilities:

• Search AI Agents by keywords or category
• Find specialized agents for coding, HR, finance, healthcare, etc.
• Monitor AI Agents' web traffic performance metrics
• Access Google/Bing rankings, GitHub stars, and academic references

Available Tools

search_ai_agent

This tool allows you to search for AI agents and retrieve information about them.

search_ai_agent(q: str, limit: int = 100, timeout: int = 5)

Parameters:

• q: The search query string
• limit: Maximum number of results to return (default: 100)
• timeout: Request timeout in seconds (default: 5)

MCP Marketplace Plugin

The server integrates with the MCP Marketplace plugin which provides:

• A search engine interface for AI agents
• Comprehensive tool listings
• Detailed agent information results

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.