Pearch
The most accurate people search API/MCP. Natural language in, high-quality candidates out. Built for ATSs and AI Agents.
Docs: https://platform.pearch.ai/
Paper: https://arxiv.org/abs/2504.02463v1
Overview
what is Pearch?
The most accurate people search API/MCP. Natural language in, high-quality candidates out. Built for ATSs and AI Agents.
Paper: https://arxiv.org/abs/2504.02463v1
how to use Pearch?
To use Pearch, you need to set up your environment with Python and the FastMCP package, obtain an API key from the Pearch.ai dashboard, and follow the installation instructions to integrate the service into your applications. Docs: https://platform.pearch.ai/
key features of Pearch?
- Advanced people search capabilities
- Easy integration with applications via API
- Support for local development and testing
use cases of Pearch?
- Quickly finding potential job candidates for recruitment.
- Enhancing talent acquisition strategies for HR departments.
- Integrating people search functionality into existing applications.
FAQ from Pearch?
- What is required to use Pearch?
You need Python 3.7 or newer and a Pearch.ai API key.
- Is there a test API key available?
Yes, you can use the test key:
pearch_mcp_keyfor testing purposes.
- How can I contribute to the Pearch project?
You can fork the repository, create a feature branch, and submit a pull request with your changes.
Server Config
{
"mcpServers": {
"Pearch.ai": {
"command": "uv",
"args": [
"run",
"--with",
"fastmcp",
"fastmcp",
"run",
"your_path/pearch_mcp.py"
],
"env": {
"PEARCH_API_KEY": "your_token"
}
}
}
}Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
Pearch-aiStar
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