workflowstacks
mcp-server

linkedin-mcp: Automate LinkedIn

Manage LinkedIn profiles and connections through AI agents. For founders needing automation and profile management tools.
61 stars8 forksTypeScriptHealth Score 8/10Updated 8/5/2026100% free · open source
What it does

The linkedin-mcp tool allows startup founders to manage LinkedIn profiles, posts, connections, and other data through AI agents using a comprehensive Model Context Protocol (MCP) server.

Install / run
git clone https://github.com/quinnjr/linkedin-mcp.git && cd linkedin-mcp
When to use it
  • When you need to automate LinkedIn profile management for your team or organization
  • When you want to leverage AI agents to optimize your LinkedIn marketing strategy
  • When you need to integrate LinkedIn data with other tools and services using a standardized protocol
Quick start
  1. 1Run `npm install` to install the required dependencies
  2. 2Create a new file named `config.ts` and configure your LinkedIn API credentials and settings
  3. 3Start the server using `npm run start`
  4. 4Use a tool like `curl` or a REST client to send requests to the server and interact with the LinkedIn API
  5. 5Refer to the `example` directory for sample use cases and code snippets
Ready-to-paste prompt
curl -X GET 'http://localhost:3000/api/v1/profiles/me' -H 'Authorization: Bearer YOUR_LINKEDIN_API_TOKEN'
Heads up: You need to obtain a LinkedIn API token and configure it in the `config.ts` file before using the linkedin-mcp tool, and also ensure you have Node.js 16 or higher installed
Saves to your device

Topics

agent
ai
anthropic
automation
career
certifications
claude
education
linkedin
linkedin-api
llm
mcp
model-context-protocol
openai
professional-network
profile-management
skills
typescript
Quick Actions
Details
Creator
quinnjr
Language
TypeScript
Category
mcp-server
Published
12/15/2025

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