MCP Server for LinkedIn

Give your AI agents access to LinkedIn through your own browser session. Read profiles, research companies, find jobs, and manage conversations and connection requests.

This is an independent open-source project, not affiliated with LinkedIn or Microsoft. LinkedIn is a trademark of LinkedIn Corporation, used here only to identify the service this software interacts with.

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Installation Methods - LinkedIn MCP Server

Tool	Description
get_person_profile	Read profile sections such as experience, education, skills, projects, and posts.
get_my_profile	Read your own profile, with the same section selection as other profiles.
connect_with_person	Send a connection request with an optional note, or accept an incoming one.
get_sidebar_profiles	Find recommended profile links, including people you may know.
get_inbox	List recent inbox conversations, with links to open individual threads.
get_conversation	Read a conversation's messages using a LinkedIn username or thread ID.
search_conversations	Search messages by keyword and return links to matching conversation threads.
send_message	Send after confirmation; profile targets may open a new DM (#483).
get_company_profile	Read company information, with optional sections for posts and open jobs.
get_company_posts	Read recent posts from a company's feed, with links to the original posts.
search_companies	Find companies by keyword and return links to their LinkedIn profiles.
get_company_employees	Find company employees, optionally filtered by name, title, or skill.
search_jobs	Find job postings by keyword and location, with job IDs for reading details.
get_saved_jobs	List your saved job postings, with job IDs for looking up their details.
search_people	Find people by keyword, location, connection degree, and current company.
get_job_details	Read a job posting's description, requirements, and company details.
get_job_apply_url	Check whether a job uses Easy Apply or links to an employer's application.
get_feed	Read recent posts from your home feed, with links to the original posts.
search_posts	Search posts by keyword, optionally limited to the past day, week, or month.
close_session	Close the shared browser session without deleting your saved login.

Setup with uvx (Recommended)

Prerequisites: Install uv.

Installation

Add to your MCP client's mcpServers configuration

{
  "mcpServers": {
    "mcp-server-linkedin": {
      "command": "uvx",
      "args": ["mcp-server-linkedin@latest"],
      "env": { "UV_HTTP_TIMEOUT": "300" }
    }
  }
}

The @latest tag turns on automatic updates, which keep the server working with LinkedIn's current page structure. The server starts quickly and prepares the shared Patchright Chromium browser cache in the background under ~/.linkedin-mcp/patchright-browsers. On the first tool call that needs authentication, it reuses a LinkedIn session from a signed-in local browser if it finds one, and otherwise opens a LinkedIn login browser window.

AI agent? Get a quick confirmation from the user before enabling automatic updates.

[!NOTE] Early tool calls may return a setup/authentication-in-progress error until browser setup or login finishes. If you prefer to create a session explicitly, run uvx mcp-server-linkedin@latest --login.

Setup Help

🔧 Configuration

Transport modes

• Default (stdio): Standard communication for local MCP servers
• Streamable HTTP: For a web-based MCP server
• If no transport is specified, the server defaults to stdio
• An interactive terminal without explicit transport shows a chooser prompt

CLI options

Session:

• --login - Open a browser to sign in and save the session
• --import-from-browser [BROWSER] - Reuse a session from a locally signed-in Chromium browser (chrome, chromium, brave, edge, arc, vivaldi, helium, yandex, whale, coccoc, opera, opera_gx, auto). Bare flag picks auto, the most recently used browser with a live LinkedIn session.
• --auto-import / --no-auto-import - Import a session from a signed-in local browser on the first tool call that needs one, before falling back to manual login (default: on). Skipped in Docker, behind a proxy, and on a non-loopback HTTP bind. On macOS the keychain may prompt once.
• --logout - Clear the stored session
• --login-viewer - Docker only: show the --login browser at a token-protected URL on port 6080 (see Authentication)
• --user-data-dir PATH - Browser profile directory (default: ~/.linkedin-mcp/profile). Rotating or clearing a session deletes this directory and its parent, which holds the stored cookies and derived profiles.
• --claim-profile-root - Take over a profile directory the serve