# LLMs.txt - Machine-Readable Project Information
# Based on the llms.txt standard for AI discoverability

# LinkedIn MCP Server
> A comprehensive Model Context Protocol server for LinkedIn API integration

## Overview
The LinkedIn MCP Server enables AI assistants to manage LinkedIn profiles through natural language. It provides 18 tools covering social features and comprehensive profile management.

## Quick Start
npm install @pegasusheavy/linkedin-mcp

Configure in Claude Desktop, Cursor, Cline, or Continue:
{
  "mcpServers": {
    "linkedin": {
      "command": "npx",
      "args": ["-y", "@pegasusheavy/linkedin-mcp"],
      "env": {"LINKEDIN_ACCESS_TOKEN": "your_token"}
    }
  }
}

## Features
- Profile Management: Skills, positions, education, certifications, publications, languages
- Social Features: View posts, connections, search people, share content
- Type-Safe: Full TypeScript with Zod validation
- Well-Tested: 85%+ coverage, 65 test cases
- Production Ready: CI/CD, modern McpServer API

## Tools
get_linkedin_profile, get_linkedin_posts, get_linkedin_connections, share_linkedin_post, search_linkedin_people, add_linkedin_skill, delete_linkedin_skill, add_linkedin_position, update_linkedin_position, delete_linkedin_position, add_linkedin_education, delete_linkedin_education, add_linkedin_certification, delete_linkedin_certification, add_linkedin_publication, delete_linkedin_publication, add_linkedin_language, delete_linkedin_language

## Links
- Repository: https://github.com/pegasusheavy/linkedin-mcp
- Website: https://pegasusheavy.github.io/linkedin-mcp/
- NPM: https://www.npmjs.com/package/@pegasusheavy/linkedin-mcp
- Documentation: https://github.com/pegasusheavy/linkedin-mcp/blob/main/README.md
- Changelog: https://pegasusheavy.github.io/linkedin-mcp/changelog.html

## Technical
- Language: TypeScript
- Runtime: Node.js >= 18.0.0
- MCP SDK: @modelcontextprotocol/sdk ^1.24.3
- Testing: Vitest 4, 65 tests, 85%+ coverage

## License
MIT - Pegasus Heavy Industries

## Tags
#linkedin #mcp #ai #llm #claude #typescript #automation #api #profile-management