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LinkedIn MCP Server

@Rayyan9477

代码仓库

基本信息

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其他

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stdio

作者

Rayyan9477

关于 LinkedIn MCP Server

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.

#machine-learning#mcp#linkedin#artificial-intelligence#linkedin-api#llm#mcp-server

LinkedIn MCP Server 配置

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该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

LinkedIn MCP Server 工具

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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 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  • Track applications locally with a status workflow (interested → applied → interviewing → offered/rejected/withdrawn)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

常见问题

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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