iflow-mcp_mcp_pearch

# Pearch.ai MCP [](https://smithery.ai/server/@Pearch-ai/mcp_pearch) Our people search API and MCP deliver the most precise results on the market. You simply ask in natural language, and we provide top-quality candidates. Designed for seamless integration with any ATS or hiring platform, our solution is backed by scientific methods, trusted by recruiters, and consistently rated the highest-quality sourcing tool. [Evaluating AI Recruitment Sourcing Tools by Human Preference](https://arxiv.org/abs/2504.02463v1) ## Prerequisites - Python 3.7 or newer - Pearch.ai API key - FastMCP package ## API Key Setup 1. Visit [Pearch.ai Dashboard](https://platform.pearch.ai/dashboard) to obtain your API key 2. Set your API key as an environment variable: ```bash export PEARCH_API_KEY='your-api-key-here' ``` ## Installation ### Installing via Smithery To install mcp_pearch for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@Pearch-ai/mcp_pearch): ```bash npx -y @smithery/cli install @Pearch-ai/mcp_pearch --client claude ``` ### Option 1: macOS[uv] ```bash # Install Python and uv brew install python brew install uv # Create and activate virtual environment uv venv source .venv/bin/activate # Install FastMCP uv pip install fastmcp ``` ### Option 2: Linux[pip] ```bash # Install system dependencies sudo apt update sudo apt install python3 python3-venv python3-pip # Create and activate virtual environment python3 -m venv .venv source .venv/bin/activate # Install FastMCP pip install fastmcp ``` ## Usage ### Standard Installation ```bash fastmcp install pearch_mcp.py --name "Pearch.ai" --env-var PEARCH_API_KEY=pearch_mcp_key ``` ### Development Mode For local development and testing: ```bash # Set your API key export PEARCH_API_KEY='your-api-key-here' # Start development server fastmcp dev pearch_mcp.py ``` ## Support If you encounter any issues or have question…