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.
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:
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.
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Best people search engine that reduces the time spent on talent discovery
Related MCP Servers
- JavaScript
mcp-spacefrontiersofficial
-securityFlicense-qualitySearch over scholar data and social networksLast updated -1Python- AsecurityAlicenseAqualitySearch and add bookmarksLast updated -1212418,434TypeScriptAGPL 3.0
- PythonMIT License