Pearch

What is Pearch?

Pearch is a people search API and MCP server that delivers precise candidate results from natural language queries. It integrates with any ATS or hiring platform and is designed for recruiters seeking high-quality sourcing backed by scientific methods.

How to use Pearch?

Install via Smithery (npx -y @smithery/cli install @Pearch-ai/mcp_pearch --client claude) or manually with Python 3.7+ and FastMCP. Set the PEARCH_API_KEY environment variable, then run fastmcp install pearch_mcp.py for standard use or fastmcp dev pearch_mcp.py for local development.

Key features of Pearch

• Natural language candidate queries
• Highest precision people search results
• Backed by scientific evaluation methods
• Seamless integration with any ATS
• Trusted by recruiters as top-quality sourcing tool

Use cases of Pearch

• Finding top candidates for open positions using natural language
• Integrating high-quality sourcing into existing ATS workflows
• Replacing manual Boolean search with conversational queries
• Evaluating candidate pools quickly during talent acquisition

FAQ from Pearch

What prerequisites are required to use Pearch?

Python 3.7 or newer, a Pearch.ai API key, and the FastMCP package.

How do I obtain a Pearch API key?

Visit the Pearch.ai Dashboard to get your API key, then set it as the PEARCH_API_KEY environment variable.

How can I install Pearch for Claude Desktop?

Use Smithery: npx -y @smithery/cli install @Pearch-ai/mcp_pearch --client claude. Alternatively, follow the manual Python installation steps in the README.

Can I run Pearch in development mode?

Yes. Set your API key, then run fastmcp dev pearch_mcp.py to start a local development server.

Where can I get support for Pearch?

Open an issue in the repository or contact support at [email protected].