mcp-linkedin
by adhikasp·★ 201·Score 41
MCP server for LinkedIn API interactions with job search and feed retrieval tools.
Overview
This MCP server provides access to LinkedIn's Feeds and Job API through unofficial methods. It allows users to retrieve LinkedIn feed posts and search for jobs programmatically. The server implements proper MCP protocol communication and offers clear examples of usage with the LLM client CLI tool.
Try asking AI
After installing, here are 6 things you can ask your AI assistant:
When to choose this
Choose this if you need to integrate LinkedIn job searching and feed monitoring into AI workflows without manual browsing.
When NOT to choose this
Avoid if you need official API access, write permissions, or have concerns about using unofficial methods that may break without notice.
Tools this server exposes
2 tools extracted from the READMEget_feed_postsRetrieve recent LinkedIn feed posts
search_jobsSearch for jobs on LinkedIn based on keywords and location
Note: Inferred tool names from CLI examples in README, but signatures and complete documentation were not provided
Comparable tools
Installation
Installation
Via Smithery:
npx -y @smithery/cli install mcp-linkedin --client claudeManual Configuration:
{
"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"
}
}
}
}FAQ
- Is this using official LinkedIn API?
- No, this uses an unofficial LinkedIn API via linkedin-python library. Use at your own risk.
- What authentication method is used?
- The server requires LINKEDIN_EMAIL and LINKEDIN_PASSWORD environment variables for authentication.
Compare mcp-linkedin with
Last updated · Auto-generated from public README + GitHub signals.