LinkedIn MCP MCP Server

Scrape LinkedIn profiles and companies, get recommended jobs, and perform job searches.

Remote serverstreamable-httpPython

What is the LinkedIn MCP MCP server?

LinkedIn MCP MCP server exists for a simple reason — assistants are far more useful when they can act on LinkedIn MCP directly instead of describing what you should do. Scrape LinkedIn profiles and companies, get recommended jobs, and perform job searches.

What you get

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

What the assistant can call

Once LinkedIn MCP is connected, these are the calls the assistant has available:

  • Auto — import is skipped while a proxy is configured: a session taken from a local browser was created on your real address, and moving it to the proxy is
  • get_person_profile — Get profile info with explicit section selection (experience, education, interests, honors, languages, certifications, skills, projects
  • get_my_profile — Get the authenticated user's own LinkedIn profile (same sections as get_person_profile)
  • connect_with_person — Send a connection request or accept an incoming one, with optional note
  • get_sidebar_profiles — Extract profile URLs from sidebar recommendation sections ("More profiles for you", "Explore premium profiles", "People you may know") on a profile
  • get_inbox — List recent conversations from the LinkedIn messaging inbox
  • get_conversation — Read a specific messaging conversation by username or thread ID
  • search_conversations — Search messages by keyword
  • send_message — Send a message to a LinkedIn user (requires confirmation)
  • get_company_profile — Extract company information with explicit section selection (posts, jobs); about-section references may include a company_urn entry carrying the
  • get_company_posts — Get recent posts from a company's LinkedIn feed
  • search_companies — Search for companies on LinkedIn by keywords

Configuration and credentials

You will need one environment variable: UV_HTTP_TIMEOUT. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Setting it up

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

Choosing this one

Among the team communication options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. LinkedIn MCP's toolset — Auto, get_person_profile, get_my_profile and 11 more — is a fair guide to whether it matches your workflow.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Before you rely on it

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • With 14 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch LinkedIn MCP.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the linkedin mcp mcp server does with a few real requests.

Available tools

ToolWhat it does
Autoimport is skipped while a proxy is configured: a session taken from a local browser was created on your real address, and moving it to the proxy is the very change that triggers a checkpoint. Use --login.
get_person_profileGet profile info with explicit section selection (experience, education, interests, honors, languages, certifications, skills, projects, contact_info, posts)
get_my_profileGet the authenticated user's own LinkedIn profile (same sections as get_person_profile)
connect_with_personSend a connection request or accept an incoming one, with optional note
get_sidebar_profilesExtract profile URLs from sidebar recommendation sections ("More profiles for you", "Explore premium profiles", "People you may know") on a profile page
get_inboxList recent conversations from the LinkedIn messaging inbox
get_conversationRead a specific messaging conversation by username or thread ID
search_conversationsSearch messages by keyword
send_messageSend a message to a LinkedIn user (requires confirmation)
get_company_profileExtract company information with explicit section selection (posts, jobs); about-section references may include a company_urn entry carrying the numeric id used by LinkedIn's people-search currentCompany URL facet
get_company_postsGet recent posts from a company's LinkedIn feed
search_companiesSearch for companies on LinkedIn by keywords
get_company_employeesList employees at a company from the /people/ page, with optional keyword filter
search_jobsSearch for jobs with keywords and location filters

How to install the LinkedIn MCP MCP server

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

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
UV_HTTP_TIMEOUTConfiguration value read at startup.Optional

Example prompts to try

  • Use LinkedIn MCP to Auto.
  • Use LinkedIn MCP to get person profile.
  • Use LinkedIn MCP to get my profile.

Frequently asked questions

It connects LinkedIn MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 14 tools (Auto, get_person_profile, get_my_profile, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with LinkedIn MCP directly.