Supports deployment on Linux systems, enabling Linux users to integrate Pearch.ai's people search capabilities into their applications.
Provides installation support for macOS environments, allowing macOS users to deploy the people search functionality on Apple's operating system.
Enables integration with Python applications, allowing developers to embed Pearch.ai's powerful people search capabilities within Python-based software.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Pearchfind senior Python developers with AWS experience in San Francisco"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: mcp-spacefrontiers
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:
Option 1: macOS[uv]
Option 2: Linux[pip]
Usage
Standard Installation
Development Mode
For local development and testing:
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.