Pearch MCP Server

@Pearch-ai

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

Pearch-ai

提交者

Maksim Zvegintsev

关于 Pearch MCP Server

The most accurate people search API/MCP. Natural language in, high-quality candidates out. Built for ATSs and AI Agents.

#people-search#talent-discovery#pearch

Pearch MCP Server 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"
      }
    }
  }
}

Pearch MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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

常见问题

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](https://s.pearch.ai/settings) 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 f@pearch.ai.

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