Restack AI - LinkedIn MCP

This repository contains a LinkedIn MCP based on Restack.

Prerequisites

• Docker (for running Restack)
• Python 3.10 or higher
• A Restack account (for cloud deployment)
• API keys for BrightData and/or Phantombuster

Environment Variables

Create a .env file in the root of the project. All required environment variables are listed in the env.example file.

Start Restack

To start Restack locally, use the following Docker command:

docker run -d --pull always --name restack -p 5233:5233 -p 6233:6233 -p 7233:7233 -p 9233:9233 -p 10233:10233 ghcr.io/restackio/restack:main

Setup Python Environment

Create and activate a virtual environment.

If using uv:

uv venv && source .venv/bin/activate

If using pip:

python -m venv .venv && source .venv/bin/activate

Install dependencies

If using uv:

uv sync

If using pip:

pip install -r requirements.txt
pip install -e .

Run services

This will start the Restack services and connect to the engine.

If using uv:

uv run dev

If using pip:

python -c "from src.services import watch_services; watch_services()"

Available Workflows

This MCP provides several workflows to interact with LinkedIn:

BrightData

• GetLinkedinProfileWorkflowBrightdata: Get a LinkedIn profile.
• GetLinkedinProfilePostsWorkflowBrightdata: Get posts from a LinkedIn profile.
• GetLinkedinProfileReactionsWorkflowBrightdata: Get reactions on posts from a LinkedIn profile.

Phantombuster

• GetLinkedinProfileWorkflowPhantombuster: Get a LinkedIn profile.
• GetLinkedinProfilePostsWorkflowPhantombuster: Get posts from a LinkedIn profile.
• GetLinkedinProfileReactionsWorkflowPhantombuster: Get reactions on posts from a LinkedIn profile.
• SaveLinkedinLeadWorkflowPhantombuster: Save a LinkedIn profile as a lead.

LinkedIn

• CreatePostOnLinkedinWorkflow: Create a post on LinkedIn.

You can trigger these workflows from the Restack UI or API.

Deploy on Restack Cloud

To deploy the application on Restack, you can create an account at https://console.restack.io and follow the documentation to deploy your agent.