Pearch
@Pearch-ai
关于 Pearch
The most accurate people search API/MCP. Natural language in, high-quality candidates out. Built for ATSs and AI Agents.
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"Pearch.ai": {
"command": "uv",
"args": [
"run",
"--with",
"fastmcp",
"fastmcp",
"run",
"your_path/pearch_mcp.py"
],
"env": {
"PEARCH_API_KEY": "your_token"
}
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Pearch?
Pearch is a people search API and MCP server that delivers precise candidate results from natural language queries. It integrates with any ATS or hiring platform and is designed for recruiters seeking high-quality sourcing backed by scientific methods.
How to use Pearch?
Install via Smithery (npx -y @smithery/cli install @Pearch-ai/mcp_pearch --client claude) or manually with Python 3.7+ and FastMCP. Set the PEARCH_API_KEY environment variable, then run fastmcp install pearch_mcp.py for standard use or fastmcp dev pearch_mcp.py for local development.
Key features of Pearch
- Natural language candidate queries
- Highest precision people search results
- Backed by scientific evaluation methods
- Seamless integration with any ATS
- Trusted by recruiters as top-quality sourcing tool
Use cases of Pearch
- Finding top candidates for open positions using natural language
- Integrating high-quality sourcing into existing ATS workflows
- Replacing manual Boolean search with conversational queries
- Evaluating candidate pools quickly during talent acquisition
FAQ from Pearch
What prerequisites are required to use Pearch?
Python 3.7 or newer, a Pearch.ai API key, and the FastMCP package.
How do I obtain a Pearch API key?
Visit the Pearch.ai Dashboard to get your API key, then set it as the PEARCH_API_KEY environment variable.
How can I install Pearch for Claude Desktop?
Use Smithery: npx -y @smithery/cli install @Pearch-ai/mcp_pearch --client claude. Alternatively, follow the manual Python installation steps in the README.
Can I run Pearch in development mode?
Yes. Set your API key, then run fastmcp dev pearch_mcp.py to start a local development server.
Where can I get support for Pearch?
Open an issue in the repository or contact support at [email protected].
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