What is the MCP LinkedIn server?

The MCP LinkedIn server is a Model Context Protocol (MCP) server that provides tools to interact with LinkedIn’s Feeds and Job API, allowing AI models to access and utilize LinkedIn data.

How does the MCP LinkedIn server work?

It uses the unofficial LinkedIn API (linkedin-api) to connect to LinkedIn, enabling AI agents to retrieve feed posts, search for jobs, and analyze profiles.

How do I install the MCP LinkedIn server?

You can install it automatically via Smithery using the command: npx -y @smithery/cli install mcp-linkedin --client claude

What configurations are required for the MCP LinkedIn server?

You need to configure your LinkedIn email and password as environment variables:

{ “mcpServers”: { “linkedin”: { “command”: “uvx”, “args”: [“–from”, “git+https://github.com/adhikasp/mcp-linkedin”, “mcp-linkedin”], “env”: { “LINKEDIN_EMAIL”: “your_linkedin_email”, “LINKEDIN_PASSWORD”: “your_linkedin_password” } } }

What can I do with the MCP LinkedIn server?

You can use it to monitor LinkedIn feeds for trends, search for job postings, automate LinkedIn interactions, and integrate LinkedIn data with other AI applications.

How can I use the MCP LinkedIn server to search for jobs?

You can use the mcp-client-cli tool with the search_jobs command, specifying keywords, location, and limit. For example: $ llm search for 3 data engineer jobs in jakarta

What is UBOS, and how does MCP LinkedIn integrate with it?

UBOS is a full-stack AI Agent Development Platform that allows you to orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents, and create Multi-Agent Systems. MCP LinkedIn can be seamlessly integrated into UBOS to enhance AI agent capabilities with LinkedIn data.

Is it safe to use the unofficial LinkedIn API?

Using the unofficial LinkedIn API carries some risks. It’s crucial to use it responsibly and be aware that LinkedIn might change its API without notice, potentially breaking the integration. Use at your own risk.