What are the prerequisites to run LinkedIn MCP Server?
You need Node.js v16 or higher, npm v7 or higher, a LinkedIn account, and internet access. Docker is also supported for containerized deployment.
@wedlock666
Basic information
Model Context Protocol (MCP) server for LinkedIn integration with n8n
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-linkedin-server": {
"command": "docker",
"args": [
"build",
"-t",
"linkedin-mcp-server",
"."
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
The LinkedIn MCP Server is a Model Context Protocol (MCP) implementation that enables integration between n8n and LinkedIn without requiring official API access. It uses web automation techniques with Puppeteer to interact with LinkedIn’s web interface, providing functionality for profile management, connections, messaging, posts, and job searching.
Install Node.js v16+, clone the repository, run npm install, copy .env.example to .env, edit the file with your LinkedIn credentials (LINKEDIN_USERNAME and LINKEDIN_PASSWORD) plus JWT and cookie secrets, then start the server with ./start.sh. All MCP requests are sent via JSON‑RPC 2.0 to the POST /mcp endpoint.
You need Node.js v16 or higher, npm v7 or higher, a LinkedIn account, and internet access. Docker is also supported for containerized deployment.
Create a `.env` file from `.env.example` and set `LINKEDIN_USERNAME` to your LinkedIn email and `LINKEDIN_PASSWORD` to your password. Optionally configure JWT_SECRET and COOKIE_SECRET for security.
No. It uses web automation (Puppeteer) to interact with LinkedIn’s web interface, so no official API key or token is needed.
The server implements the Model Context Protocol (MCP) using JSON‑RPC 2.0 over HTTP. All requests go to `POST /mcp`.
Yes. A Dockerfile is provided – build the image with `docker build -t linkedin-mcp-server .` and run with `docker run -p 3000:3000 --env-file .env linkedin-mcp-server`.

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