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linkedin-mcp-server

Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages.

Install / Use

claude mcp add tr4m0ryp -- npx -y github:tr4m0ryp/linkedin-mcp-server

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

66/100

Category

Automation

Supported Platforms

Claude Code
Claude Desktop

Our assessment of linkedin-mcp-server

linkedin-mcp-server scores 66/100 on our quality scale, 2692nd of 2,866 Automation skills we index.

Its MCP Server is 2.6 KB long, split into 3 sections with 1 code example: a solid amount of guidance for an agent.

It has 3 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
26/30
Structure
12/20
Description
15/15
Adoption
3/20
Freshness
11/15

Maintenance, license and trust

  • The repository was last updated about 4 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 90/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-11-04. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

linkedin-mcp-server compared with similar skills

All 4 of these similar skills score higher than linkedin-mcp-server; compare them before choosing.

SkillScoreStarsUpdatedFormat
linkedin-mcp-server (this skill)by tr4m0ryp6634mo agoMCP Server
Agent-Reachby Panniantong100108.8ktodayCLAUDE.md
headroomby headroomlabs-ai10078.8ktodayCLAUDE.md
CowAgentby zhayujie10047.8ktodayCLAUDE.md
Scraplingby D4Vinci10096.5ktodayMCP Server

Frequently asked questions

How do I install linkedin-mcp-server?
Run claude mcp add tr4m0ryp -- npx -y github:tr4m0ryp/linkedin-mcp-server. The install tabs above show the steps for each supported agent.
Which AI agents does linkedin-mcp-server work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is linkedin-mcp-server safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is Apache-2.0-licensed and scores 90/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is linkedin-mcp-server still maintained?
The repository was last updated about 4 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.

linkedin-mcp-server

License: Apache 2.0 Python 3.12+ MCP

An MCP server that gives your LLM your own LinkedIn session. LinkedIn has no usable public API for reading profiles, companies, or jobs. This drives your own logged-in browser instead, so the model sees LinkedIn exactly as you do — no scraping API keys, no third-party data broker.

Under the hood it's one Python process. It reuses a real, persistent Chromium profile (Patchright) that you log into once; from there the LLM gets 17 tools to read profiles and companies, search people and jobs, browse your feed, and read or send messages. Extraction reads rendered innerText and URL patterns rather than brittle CSS classes, and connection/message state is detected from locale-independent signals, so it survives LinkedIn's constant layout churn.

In short:

  1. Log in once — a QR-free browser sign-in stores a persistent session, or import an existing one from a browser you're already logged into.
  2. Point your MCP client at the server.
  3. Ask things like "what does williamhgates list under experience?" or "find backend jobs in Amsterdam posted this week".

Everything runs locally against your own account: the session lives in a local browser profile, the model only sees what a tool call returns. The usual caution applies — automating your own logged-in LinkedIn session carries account risk and an LLM that can send messages for you is a prompt-injection target, so use it with awareness.

Disclaimer: Independent community project. Not affiliated with, authorized by, or endorsed by LinkedIn Corporation or Microsoft. "LinkedIn" is a registered trademark of LinkedIn Corporation, used here only descriptively to name the third-party service this software interoperates with.

Quick start

uv sync
uv run patchright install chromium
uv run -m linkedin_mcp_server --login   # sign in once
uv run -m linkedin_mcp_server           # run the server

Point any MCP client (Claude Code, Cursor, claude.ai) at the running server. See AGENTS.md for development commands and the full tool contract.

License

Apache-2.0 — see LICENSE. This is a maintained fork of stickerdaniel/linkedin-mcp-server by Daniel Sticker; the original copyright and NOTICE travel with it.

Related Skills

View on GitHub
GitHub Stars3
CategoryAutomation
Updated3mo ago
Forks0

Languages

Python

Trust signals

90/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 low1 info