LinkedIn Profile Analyzer MCP Server

Analyzes LinkedIn profiles by fetching, filtering, and managing post data, designed for integration with Claude AI.

Local serverstdioPython★ 31

What is the LinkedIn Profile Analyzer MCP Server?

Analyzes LinkedIn profiles by fetching, filtering, and managing post data, designed for integration with Claude AI.

What you get

A powerful LinkedIn profile analyzer MCP (Model Context Protocol) server that interacts with LinkedIn's API to fetch, analyze, and manage LinkedIn posts data. This MCP is specifically designed to work with Claude AI.

  • Fetch and store LinkedIn posts for any public profile
  • Search through posts with keyword filtering
  • Get top performing posts based on engagement metrics
  • Filter posts by date range
  • Paginated access to stored posts
  • Easy integration with Claude AI

Configuration and credentials

  • Python 3.7+ - RapidAPI key for LinkedIn Data API - Claude AI access

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
x-rapidapi-keyYour RapidAPI key
x-rapidapi-hostlinkedin-data-api.p.rapidapi.com

How to install the LinkedIn Profile Analyzer MCP Server

{
  "mcpServers": {
    "LinkedIn Updated": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "path/to/your/script.py"
      ]
    }
  }
}

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

Configuration

  • Python 3.7+ - RapidAPI key for LinkedIn Data API - Claude AI access
VariableDescriptionRequired
RAPIDAPI_KEYCredential the server authenticates with.Yes

Example prompts to try

  • “Use LinkedIn Profile Analyzer to x-rapidapi-key.”
  • “Use LinkedIn Profile Analyzer to x-rapidapi-host.”

Frequently asked questions

Key features include fetching and storing posts, keyword filtering, identifying top-performing posts based on engagement, date range filtering, and paginated access.