workflowstacks
mcp-server

linkedin-mcp-server: Integrate AI Agents

Give AI agents access to LinkedIn data with linkedin-mcp-server, suitable for founders integrating AI tools, backed by 2.9k+ GitHub stars.
3,810 stars+92★ this week662 forksPythonGuide quality 9/10 · reviewed Aug 5Updated 10/10/2026100% free · open source
What it does

The linkedin-mcp-server tool allows you to give AI agents like Claude access to LinkedIn data such as profiles, companies, jobs, and messages through an open-source MCP server.

When to use it
  • •You need to automate tasks on LinkedIn using AI agents.
  • •You want to integrate LinkedIn data with other tools and services using MCP-compatible AI agents.
  • •You need to analyze or process large amounts of LinkedIn data using AI-powered tools.
Ready-to-paste prompt
curl -X GET 'http://localhost:5000/profiles?query=software+engineer' -H 'Authorization: Bearer YOUR_API_TOKEN'
Heads up: You need to have a LinkedIn API key and configure the config.json file with the correct credentials and settings to use the linkedin-mcp-server tool.
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🔑 Needs an API key

Works after you add credentials — the setup agent will ask you for them.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/linkedin-mcp-server && curl -fsSL https://workflowstacks.com/api/skills/linkedin-mcp-server/claude-skill -o ~/.claude/skills/linkedin-mcp-server/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How linkedin-mcp-server: Integrate AI Agents works
Codeflow
Free to inspect

Linkedin-mcp-server: Integrate AI Agents is a large Python project (~52k lines across 105 code files, plus 146 test files). Setup is light: runs with Docker — add your API keys to .env. Last commit this month, Apache-2.0 license, has a test suite.

Size
Large codebase
~52k lines · 105 code files · ~7 h to skim
Setup
Light setup
Runs with Docker — add your API keys to .env.
Runs on
Python · Docker
Needs API keys (.env)
Python 100%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    manifest.json
    Where the program starts running
  4. 4
    pyproject.toml
    Dependencies and the commands it exposes
  5. 5
    .env.example
    The API keys and settings you must provide
What's in each folder
linkedin_mcp_server/Core code — the actual logic96 files
plugins/Sub-packages / plugins4 files
docs/Documentation19 files
changelog.d/Folder13 files
scripts/Helper scripts9 files
tests/Tests — proof it works190 files
.github/CI / automation (GitHub Actions)14 files
.agents/Tool / agent settings7 files
READMEHas testsDocumentedCI checksDocker readyApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
stickerdaniel
Language
Python
Category
mcp-server
Published
4/13/2025

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/linkedin-mcp-server.svg)](https://workflowstacks.com/skills/linkedin-mcp-server?utm_source=github&utm_medium=badge)
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