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LinkedIn MCP Server

@Rayyan9477

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Rayyan9477

LinkedIn MCP Server について

A powerful Model Context Protocol server for LinkedIn interactions that enables AI assistants to search for jobs, generate resumes and cover letters, and manage job applications programmatically.

LinkedIn MCP Server の設定

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このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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LinkedIn MCP Server のツール

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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 MCP Server?

A Model Context Protocol server that gives AI assistants full access to LinkedIn via 13 tools: search jobs, view profiles and companies, generate AI-powered resumes and cover letters, and track applications. Built with the official MCP Python SDK (FastMCP).

How to use LinkedIn MCP Server?

Install via pip install -e . (add [ai], [pdf], or [all] for optional features). Configure a .env file with LINKEDIN_USERNAME and LINKEDIN_PASSWORD (required) and ANTHROPIC_API_KEY (optional for AI features). Run standalone with linkedin-mcp or add to Claude Desktop/Code MCP config. Ask your AI assistant to invoke any of the 13 tools.

Key features of LinkedIn MCP Server

  • Search jobs with filters (keyword, location, type, experience, remote, recency)
  • Fetch any LinkedIn profile or company page
  • AI-powered profile analysis with optimization suggestions
  • Generate resumes and cover letters from profiles (3 resume, 2 cover letter templates)
  • Export documents as HTML, Markdown, or PDF (via WeasyPrint)
  • Track applications locally with a status workflow (interested → applied → interviewing → offered/rejected/withdrawn)

Use cases of LinkedIn MCP Server

  • Search for remote Python developer jobs and get detailed descriptions
  • Generate a resume tailored to a specific job posting
  • Analyze your LinkedIn profile and receive actionable improvement suggestions
  • Create a personalized cover letter for a job application
  • Track all your job applications and update their status through the pipeline

よくある質問

1

What credentials are required?

You must provide `LINKEDIN_USERNAME` and `LINKEDIN_PASSWORD`. An `ANTHROPIC_API_KEY` is optional and enables AI features (profile analysis, resume/cover letter generation).

2

Is AI required to use the server?

No. Core LinkedIn features (job search, profiles, companies) work without an Anthropic API key. AI only enhances document generation and profile analysis.

3

What output formats are supported for documents?

HTML, Markdown, and PDF (via WeasyPrint). Specify the `output_format` parameter when generating resumes or cover letters.

4

What Python version and license apply?

Python 3.11+ is required. The server is released under the MIT License.

5

Where does tracked application data live?

Application tracking is stored locally in a JSON file under `DATA_DIR` (defaults to `~/.linkedin_mcp/data`).

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