LinkedIn Model Context Protocol (MCP) Server

Name: LinkedIn Model Context Protocol (MCP) Server
Author: Rayyan9477

@Rayyan9477

关于 LinkedIn Model Context Protocol (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

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

Rayyan9477

配置

暂无标准配置

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

工具

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Track applications locally with a status workflow (interested → applied → interviewing → offered/rejected/withdrawn)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

FAQ from LinkedIn MCP Server

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).

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.