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Install LinkedIn MCP Server

Pick your client, copy the command, done.

Manual setup required. The maintainer's config contains paths only you know - edit the placeholders below before adding it to Claude Code.
1

Prepare the server locally

Run this once before adding it to Claude Code.

git clone https://github.com/eliasbiondo/linkedin-mcp-server.git
cd linkedin-mcp-server
uv sync
2

Register it in Claude Code

claude mcp add linkedin-mcp-server -- uv --directory /path/to/linkedin-mcp-server run linkedin-mcp-server

Replace any placeholder paths in the command with the real path on your machine.

Available Tools (7)

Once configured, LinkedIn MCP Server gives your AI agent access to:

get_person_profileRetrieves detailed profile information for a specific person.
profile_urlsections
search_peopleSearches for people on LinkedIn based on query parameters.
query
get_company_profileRetrieves detailed profile information for a specific company.
company_url
get_company_postsRetrieves recent posts from a company page.
company_url
get_job_detailsRetrieves full details for a specific job listing.
job_url
search_jobsSearches for job listings based on filters.
querydate_postedjob_typeexperience_levelwork_typeeasy_applysort_by
close_browserCloses the active browser instance.

Try It Out

After setup, try these prompts with your AI agent:

Search for software engineering jobs in London posted in the past week.
Get the professional experience section for the profile at [URL].
Find recent posts from the company page at [URL].
Search for people with the title 'Product Manager' in San Francisco.

Keep this setup from going cold

Save the docs, env vars, and workflow around LinkedIn MCP Server in Conare so Claude Code, Codex, and Cursor remember it next time.

Remember this setup