LinkedIn MCP
A powerful Model Context Protocol server for LinkedIn API integration
What is LinkedIn MCP?
LinkedIn MCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to powerful model context protocol server for linkedin api integration
A powerful Model Context Protocol server for LinkedIn API integration
This server falls under the Communication and APIs categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A powerful Model Context Protocol server for LinkedIn API in
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx linkedin-mcpserverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use LinkedIn MCP
The LinkedIn MCP Server is a TypeScript-based Model Context Protocol server that brings LinkedIn API functionality directly into AI assistant workflows, enabling profile search, profile retrieval, job search, connection messaging, and network statistics through natural language commands. Built with dependency injection and structured logging via Pino, it provides a maintainable and production-ready bridge between AI clients like Claude and LinkedIn's platform. Developers and recruiters can use it to automate research workflows, discover candidates, explore job opportunities, and manage outreach without leaving their AI chat interface.
Prerequisites
- Node.js 18+ and npm installed
- Git to clone the repository (no npm package available — must build from source)
- LinkedIn API credentials or session tokens configured for the server
- An MCP-compatible client such as Claude Desktop
Clone the repository
Clone the linkedin-mcpserver repository to your local machine since it is not published to npm and must be built from source.
git clone https://github.com/felipfr/linkedin-mcpserver.git
cd linkedin-mcpserverInstall dependencies
Install all Node.js dependencies using npm. This will pull in the required packages including Pino for logging and the Axios-based REST client.
npm installBuild the TypeScript project
Compile the TypeScript source to JavaScript in the dist/ or build/ directory so it can be executed by Node.js.
npm run buildConfigure LinkedIn credentials
Review the project's configuration files for any required LinkedIn API keys or session tokens. The server uses an Axios-based REST client to call LinkedIn endpoints.
Add the server to your MCP client configuration
Open your Claude Desktop config at ~/Library/Application Support/Claude/claude_desktop_config.json and point it at the compiled server entry point.
{
"mcpServers": {
"linkedin-mcp-server": {
"command": "node",
"args": ["/absolute/path/to/linkedin-mcpserver/build/index.js"]
}
}
}Verify with the MCP Inspector
Use the built-in inspector script to confirm the server starts correctly and protocol interactions work before using it in production.
npm run inspectorLinkedIn MCP Examples
Client configuration
Claude Desktop configuration for the LinkedIn MCP server built from source.
{
"mcpServers": {
"linkedin-mcp-server": {
"command": "node",
"args": ["/absolute/path/to/linkedin-mcpserver/build/index.js"]
}
}
}Prompts to try
Natural language prompts that map to the five core LinkedIn tools this server exposes.
- "Search for senior software engineers at Stripe on LinkedIn"
- "Get the full profile details for a LinkedIn user at this URL"
- "Find remote Python developer jobs posted in the last week"
- "Send a connection message to my new LinkedIn contact"
- "Show me my LinkedIn network connection statistics"Troubleshooting LinkedIn MCP
Build fails with TypeScript errors
Ensure you are using Node.js 18+ and run `npm ci` instead of `npm install` to use exact locked dependency versions. Check that your TypeScript version matches what the project expects.
LinkedIn API returns authentication errors
LinkedIn's API access requires proper OAuth credentials or session tokens. Review the project's configuration for how to supply authentication details, and ensure your LinkedIn account has access to the API features being used.
Server not found in Claude Desktop
Use the absolute path to the built index.js file, not a relative path. Run `pwd` in the project directory to get the full path, then update your claude_desktop_config.json accordingly and restart Claude Desktop.
Frequently Asked Questions about LinkedIn MCP
What is LinkedIn MCP?
LinkedIn MCP is a Model Context Protocol (MCP) server that powerful model context protocol server for linkedin api integration It connects AI assistants to external tools and data sources through a standardized interface.
How do I install LinkedIn MCP?
Follow the installation instructions on the LinkedIn MCP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with LinkedIn MCP?
LinkedIn MCP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is LinkedIn MCP free to use?
Yes, LinkedIn MCP is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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