LinkedIn MCP Server (AI version)

A powerful Model Context Protocol server that exposes verified LinkedIn capabilities as MCP tools, plus an account-research prompt — runnable over stdio (local) and Streamable HTTP (remote).

Built as the reference implementation for the course in ../Documentation/. Scope: LinkedIn-only (Tier A verified core + Tier D extended). See PLAN.md.

Tools

Prompt: account_intel — scripts the tools into a full company brief.

Related MCP server: LinkedIn MCP Server

Setup

uv sync --extra dev
cp .env.example .env        # then fill in LI_AT + LI_JSESSIONID

Run

# stdio (default) — for local hosts / the Inspector
uv run linkedin-mcp

# Streamable HTTP — secured (Origin allowlist + bearer token), localhost-bound
uv run linkedin-mcp --transport http

Verify in the MCP Inspector

npx @modelcontextprotocol/inspector uv run linkedin-mcp

List tools, then call linkedin_get_company_profile with {"linkedin_url_or_slug": "microsoft"}.

Plug into Claude Desktop (stdio)

{
  "mcpServers": {
    "linkedin": {
      "command": "uv",
      "args": ["run", "--directory", "C:/Users/WELCOME/Desktop/Linked-MCP/ai-version", "linkedin-mcp"]
    }
  }
}

Notes & safety

• Unofficial linkedin-api: cookie auth (LI_AT + LI_JSESSIONID) is the supported path; password login often hits a challenge. Cookies expire → tools return a clear auth error.

• Rate limits are real; post counts are clamped. Heavy use can flag the account.

• stdio writes JSON-RPC on stdout — all logs go to stderr only.

• HTTP proxies your LinkedIn identity: set MCP_AUTH_TOKEN and keep the bind on localhost before sharing.