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Pearch

by Pearch-ai
GitHub
Python
MIT License
  • Apple
  • Linux
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Pearch.ai MCP

Pearch.ai MCP is a FastMCP service that enables powerful people search capabilities through the Pearch.ai. This service allows you to integrate advanced people search functionality into your applications.

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. For testing purposes, you can use the test key: pearch_mcp_key
  3. Set your API key as an environment variable:
    export PEARCH_API_KEY='your-api-key-here'

Installation

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

Contributing

We welcome contributions! Here's how you can help:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Please ensure your code follows our coding standards and includes appropriate tests.

Support

If you encounter any issues or have questions:

License

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

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

How are these scores calculated?

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

  1. Prerequisites
    1. API Key Setup
      1. Installation
        1. Option 1: macOS[uv]
        2. Option 2: Linux[pip]
      2. Usage
        1. Standard Installation
        2. Development Mode
      3. Contributing
        1. Support
          1. License

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