
Pearch
Best people search engine that reduces the time spent on talent discovery
README
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
- Visit Pearch.ai Dashboard to obtain your API key
- For testing purposes, you can use the test key:
pearch_mcp_key
- 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:
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature
) - Commit your changes (
git commit -m 'Add amazing feature'
) - Push to the branch (
git push origin feature/amazing-feature
) - 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:
- Open an issue in the repository
- Contact support at support@pearch.ai
License
This project is licensed under the MIT License - see the LICENSE file for details.
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