LinkedIn MCP Server

Content

LinkedIn MCP Server connects MCP clients to LinkedIn through an authenticated browser session. It can inspect people profiles, the authenticated user's own profile, sidebar profile recommendations, inboxes, conversations, companies, company posts, employees, people search, job search, job details, and feed content. It also exposes action-oriented tools for messages and connection requests that should stay behind explicit approval.

The upstream README documents uvx, Docker, MCPB, and Streamable HTTP setup paths. The supported PyPI package is linkedin-scraper-mcp, which exposes both linkedin-scraper-mcp and linkedin-mcp-server console scripts.

Source Review

• https://github.com/stickerdaniel/linkedin-mcp-server
• https://github.com/stickerdaniel/linkedin-mcp-server/blob/main/README.md
• https://github.com/stickerdaniel/linkedin-mcp-server/blob/main/pyproject.toml
• https://pypi.org/pypi/linkedin-scraper-mcp/json

These sources were reviewed on 2026-06-05. Prefer the live repository and PyPI metadata for current package version, command name, Python requirement, dependencies, authentication behavior, supported tools, and setup guidance.

Features

• Read LinkedIn person profiles with selectable sections.
• Read the authenticated user's own profile.
• Search people by keyword, location, connection degree, and company.
• Inspect company profiles, company posts, employees, and company search.
• Search jobs and retrieve job details.
• Read recent feed posts from the authenticated account.
• Read inbox and conversation data available to the session.
• Send messages or connection requests when explicitly approved.
• Reuse a persisted browser profile after interactive login.

Installation

For MCP clients that launch stdio servers:

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

Restart the MCP client after adding the server. On first use, complete the interactive LinkedIn login flow in the browser window before retrying LinkedIn tools.

Use Cases

• Ask Claude to inspect a LinkedIn profile before a recruiting or sales call.
• Search for people by company, location, keyword, or connection degree.
• Research company profiles, posts, employees, and open roles.
• Summarize job details for a candidate or hiring workflow.
• Review inbox or conversation context before drafting a reply.
• Draft a connection note or message for human approval before sending.

Safety and Privacy

LinkedIn automation operates through a real authenticated account. Keep message sending, connection requests, and other account-write actions behind explicit human confirmation. Avoid broad scraping, high-volume automation, or workflows that violate LinkedIn rules, workplace policy, or recipient consent.

The persisted browser profile, cookies, LinkedIn messages, profile data, company research, job searches, feed content, and relationship context are sensitive. Treat local profile directories and mounted volumes as account secrets, and avoid sharing logs or screenshots that expose LinkedIn session state.

Duplicate Check

No stickerdaniel/linkedin-mcp-server entry, linkedin-scraper-mcp package entry, or matching source URL was found in content/mcp.

• Source repositorygithub.com 2026-07-21T07:17:01+00:00
• Documentationgithub.com
• Submitted by oktofeesh12026-06-05