linkedin-mcp-server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@linkedin-mcp-serverpost a status update about my new blog post"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Linkedin Universal MCP Server
This repository contains an implementation of an Linkedin Universal MCP (Model Context Protocol) server. It provides a standardized interface for interacting with Linkedin's tools and services through a unified API.
The server is built using the Universal MCP framework.
This implementation follows the MCP specification, ensuring compatibility with other MCP-compliant services and tools.
Usage
You can start using Linkedin directly from agentr.dev. Visit agentr.dev/apps and enable Linkedin.
If you have not used universal mcp before follow the setup instructions at agentr.dev/quickstart
Related MCP server: LinkedIn MCP Server
Available Tools
The full list of available tools is at Tools
Local Development
📋 Prerequisites
Ensure you have the following before you begin:
Python 3.11+ (recommended)
uv (install globally with
pip install uv)
🛠️ Setup Instructions
Follow the steps below to set up your development environment:
Sync Project Dependencies
uv syncThis installs all dependencies from
pyproject.tomlinto a local virtual environment (.venv).Activate the Virtual Environment
For Linux/macOS:
source .venv/bin/activateFor Windows (PowerShell):
.venv\Scripts\ActivateStart the MCP Inspector
mcp dev src/universal_mcp_linkedin/server.pyThis will start the MCP inspector. Make note of the address and port shown in the console output.
Install the Application
mcp install src/universal_mcp_linkedin/server.py
📁 Project Structure
.
├── src/
│ └── universal_mcp_linkedin/
│ ├── __init__.py # Package initializer
│ ├── server.py # Server entry point
│ ├── app.py # Application tools
│ └── README.md # List of application tools
├── tests/ # Test suite
├── .env # Environment variables for local development
├── pyproject.toml # Project configuration
└── README.md # This file📄 License
This project is licensed under the MIT License.
Generated with MCP CLI — Happy coding! 🚀
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