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
基本信息
Model Context Protocol (MCP) server for LinkedIn integration with n8n
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-linkedin-server": {
"command": "docker",
"args": [
"build",
"-t",
"linkedin-mcp-server",
"."
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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