MCP Server for LinkedIn

What is MCP Server for LinkedIn?

MCP Server for LinkedIn is a Model Context Protocol server that enables programmatic job applications and feed browsing on LinkedIn. It leverages the unofficial LinkedIn API documentation to interact with LinkedIn using a user’s credentials. This server is intended for developers and automation enthusiasts who want to integrate LinkedIn actions into MCP-enabled workflows.

How to use MCP Server for LinkedIn?

Clone the repository and configure the local path in the JSON configuration. The server runs via uv with a specified local directory. Testing was performed using the mcp-cli client.

Key features of MCP Server for LinkedIn

• Fetch user profiles via get_profile() (name, headline, current position)
• Advanced job search with filters (keywords, location, experience level, job type, remote options, date posted, required skills)
• Retrieve feed posts with configurable limit and offset for pagination
• Parse PDF resumes to extract name, email, phone, skills, work experience, education, and languages

Use cases of MCP Server for LinkedIn

• Automate job applications based on custom criteria
• Extract and analyze LinkedIn profiles for networking or recruitment
• Search jobs with multiple filters and apply programmatically
• Parse candidate resumes and match them to job requirements
• Monitor LinkedIn feed within an MCP-driven agent loop