The most accurate people search API/MCP. Natural language in, high-quality candidates out. Built for ATSs and AI Agents.
- • Basic MCP protocol features implemented (17/40)
- • Room for improvement in GitHub community
- • Optimal dependency management (20/20)
- • Room for improvement in deployment maturity
- • Documentation (8/8)
- • Archestra MCP Trust score badge is missing
{
"pearch_mcp-dev": {
"command": "fastmcp",
"args": [
"dev",
"pearch_mcp.py"
],
"env": {}
}
}Pearch.ai MCP
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
- Visit Pearch.ai Dashboard to obtain your API key
- 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.
[](https://archestra.ai/mcp-catalog/pearch-ai__mcp_pearch)Pearch.ai MCP
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
- Visit Pearch.ai Dashboard to obtain your API key
- 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.