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mcp_pearch

Best people search engine that reduces the time spent on talent discovery

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11/22/2025
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README Documentation

Pearch.ai MCP

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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

Prerequisites

  • Python 3.7 or newer
  • Pearch.ai API key
  • FastMCP package

API Key Setup

  1. Visit Pearch.ai Dashboard to obtain your API key
  2. Set your API key as an environment variable:
    export PEARCH_API_KEY='your-api-key-here'
    

Installation

Installing via Smithery

To install mcp_pearch for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @Pearch-ai/mcp_pearch --client claude

Option 1: macOS[uv]

# 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]

# 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

fastmcp install pearch_mcp.py --name "Pearch.ai" --env-var PEARCH_API_KEY=pearch_mcp_key

Development Mode

For local development and testing:

# 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 questions:

  • Open an issue in the repository
  • Contact support at f@pearch.ai

License

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

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Key Features

Model Context Protocol
Secure Communication
Real-time Updates
Open Source

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