Pearch

Name: Pearch
Author: Pearch-ai

@Pearch-ai

About Pearch

The most accurate people search API/MCP. Natural language in, high-quality candidates out. Built for ATSs and AI Agents.

#people-search #talent-discovery #pearch

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "Pearch.ai": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "fastmcp",
        "fastmcp",
        "run",
        "your_path/pearch_mcp.py"
      ],
      "env": {
        "PEARCH_API_KEY": "your_token"
      }
    }
  }
}

Tools

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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].

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