LinkedIn Jobs MCP Server

@Rom7699

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作者

Rom7699

LinkedIn Jobs MCP Server について

A Model Context Protocol (MCP) server for searching and retrieving LinkedIn job postings via the RapidAPI LinkedIn Data API.

LinkedIn Jobs MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "linkedin-jobs-mcp-server": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}

LinkedIn Jobs MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is LinkedIn Jobs MCP Server?

A Model Context Protocol (MCP) server for searching and retrieving LinkedIn job postings via the RapidAPI LinkedIn Data API.

How to use LinkedIn Jobs MCP Server?

Install Python 3.8+, clone the repository, install required packages with pip install -r requirements.txt, create a .env file with your RAPIDAPI_KEY, and run python main.py to start the server. Then configure Claude Desktop by adding the server to claude_desktop_config.json.

Key features of LinkedIn Jobs MCP Server

Search for LinkedIn job postings using keywords
Filter jobs by location
Get detailed information about specific job postings
Location search functionality for finding LinkedIn location IDs

Use cases of LinkedIn Jobs MCP Server

Find software engineering jobs in a specific city with keyword search
Retrieve full details of a particular job listing by its ID
Look up LinkedIn location IDs to use in job searches
Integrate LinkedIn job data into AI-powered workflows via Claude Desktop

よくある質問

What are the system requirements?

Python 3.8+ and a RapidAPI key with access to the LinkedIn Data API are required.

How do I configure the server with Claude Desktop?

Add the server to your `claude_desktop_config.json` specifying the Python command and path to the `main.py` file.

What tools does the server provide?

Three tools: `search_jobs(keywords, limit, location, format_output)`, `get_job_details(job_id)`, and `search_locations(keyword)`.

How do I install dependencies?

Run `pip install -r requirements.txt` from the project root directory.

Where does the job data come from?

All data is fetched from the LinkedIn Data API available through RapidAPI.

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