AdYour product here, seen by people installing AI tools every day Sponsor slots open: 12 of 12, from $249 a month

Linkedin MCP

Verified · npm:@celeria-ai

MCP server by dbehr-celeria · updated · 3 downloads a week

Score 21

A Model Context Protocol (MCP) server for interacting with LinkedIn's content through their internal Voyager API. Linkedin MCP is published by npm:@celeria-ai from its verified domain in the official MCP Registry.

Licence

No licence found, so reuse rights are unclear

Quality

Clear description, published package or server URL, original repository

Security

Not checked yet. What we check

Install Linkedin MCP

Built from the published package, never by AI
claude mcp add linkedin-mcp -- npx -y @celeria-ai/linkedin-mcp

Run in your terminal. Add --scope user to use it in every project.

Step-by-step: install Linkedin MCP in Claude Code

MCP servers run with your permissions and can read what you give them access to. Some need an API key: check the README and add it under env in the linkedin-mcp block.

Alternatives to Linkedin MCP

All alternatives →

Linkedin MCP: common questions

How do I install Linkedin MCP?

In Claude Code run claude mcp add linkedin-mcp -- npx -y @celeria-ai/linkedin-mcp. For Claude Desktop, Cursor and VS Code, paste the config shown above and restart. See the install guides.

Is Linkedin MCP the official server?

Linkedin MCP is published by npm:@celeria-ai from its verified domain in the official MCP Registry.

Is Linkedin MCP free?

The code is public, but no licence file was found, so check the repository before commercial use.

Is Linkedin MCP safe to use?

It scores 21 of 100. Grades: licence F, quality C. The security check has not run for it yet. Review the code before you install. How grades work.

What are alternatives to Linkedin MCP?

Similar MCP servers: Plunk MCP, Thesvg MCP Server, openshorts, Nooticr.

Does Linkedin MCP work with ChatGPT?

Not directly. It runs locally, and ChatGPT only connects to remote servers with a URL. Use it in Claude Code, Claude Desktop, Cursor, VS Code or Codex.

Add to stack

Loading.