Linkedin Profile MCP Server

This MCP server uses the Fresh LinkedIn Profile Data API to fetch LinkedIn profile information. It is implemented as a model context protocol (MCP)

Local serverstdioPython

What is the Linkedin Profile MCP MCP server?

If you already use Linkedin Profile MCP, the linkedin profile mcp mcp server is the piece that lets your assistant work with it directly. This MCP server uses the Fresh LinkedIn Profile Data API to fetch LinkedIn profile information. It is implemented as a model context protocol (MCP) server and exposes a single tool, get_profile, which accepts a LinkedIn profile URL and.

What the server does

  • Fetch Profile Data: — Retrieves LinkedIn profile information including skills and other settings (with most additional details disabled)
  • Asynchronous HTTP Requests: — Uses httpx for non-blocking API calls
  • Environment-based Configuration: — Reads the RAPIDAPI_KEY from your environment variables using dotenv

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • Environment — based Configuration:** Reads the RAPIDAPI_KEY from your environment variables using dotenv
  • RAPIDAPI_KEY — ** Obtain an API key from RapidAPI and add it to a .env file in your project directory (or set it in your environment)

Credentials and setup notes

Configuration is passed through the environment: RAPIDAPI_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

  • Python 3.7+ – Ensure you are using Python version 3.7 or higher. - MCP Framework: Make sure the MCP framework is installed. - Required Libraries: Install httpx, python-dotenv, and other dependencies. - RAPIDAPI_KEY: Obtain an API key from RapidAPI and add it to a .env file in your project directory (or set it in your environment).

Installation

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Where it fits

Among the file and storage access 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 Profile MCP's toolset — Environment, RAPIDAPI_KEY — is a fair guide to whether it matches your workflow. It is maintained by Ayesha0300; worth a glance at recent repository activity before you build anything load-bearing on it.

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

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
Environmentbased Configuration:** Reads the RAPIDAPI_KEY from your environment variables using dotenv.
RAPIDAPI_KEY** Obtain an API key from [RapidAPI](https://rapidapi.com/) and add it to a .env file in your project directory (or set it in your environment).

Configuration

  • Python 3.7+ – Ensure you are using Python version 3.7 or higher. - MCP Framework: Make sure the MCP framework is installed. - Required Libraries: Install httpx, python-dotenv, and other dependencies. - RAPIDAPI_KEY: Obtain an API key from RapidAPI and add it to a .env file in your project directory (or set it in your environment).
VariableDescriptionRequired
RAPIDAPI_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use Linkedin Profile MCP to Environment.
  • Use Linkedin Profile MCP to RAPIDAPI KEY.

Frequently asked questions

It connects Linkedin Profile MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 2 tools (Environment, RAPIDAPI_KEY) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Linkedin Profile MCP directly.