
LinkedIn MCP Assistant
LinkedIn MCP Assistant
README
LiGo + LinkedIn MCP Runner
The first GPT-powered creative co-pilot trained on your actual LinkedIn content.
Create posts. Analyze what’s working. Rewrite in your voice. All from Claude or ChatGPT, powered by your own past posts.
What is this?
This is the official runner repo for LiGo’s Model Context Protocol (MCP) - a protocol that lets GPT-based assistants pull your LinkedIn context and respond like a strategist. It works with both Claude and ChatGPT.
With MCP, your assistant can answer things like:
- Which of your last posts got the most traction
- What your writing tone actually sounds like
- How to help you post, rewrite, or brainstorm like a founder
Just talk to it normally (if you know how to do that - no judging if you don't, btw). It has access to all your PUBLIC Linkedin data (with your consent, of course).
How to Get Started
Claude Setup
- Download the Claude desktop app.
- Visit ligo.ertiqah.com/integrations/claude
- Click "Generate Installation Command"
- If not logged in, you’ll be routed to authenticate with LiGo
- Copy the command and run it in your terminal
- Open Claude and start chatting
Example prompt:
Analyze my last 5 posts. What’s working? Give me ideas on what I should write next.
ChatGPT (CustomGPT)
No installation needed.
- Go to ligo.ertiqah.com/integrations/chatgpt
- Authenticate with LiGo when prompted
- Start using the CustomGPT
Example prompt:
Rewrite this to sound more like my recent posts and make the hook spicier.
See It in Action: MCP Leaderboard
We showcase the latest 50 posts made using the MCP integration, complete with:
- The full post
- A link to the original LinkedIn post
- The author’s name
This acts like a public feed. It’s a live demo. And yes, it creates some healthy FOMO + you get a permanent backlink to your post. SEO goes brrrr.
Why It Matters
Honestly, it's a bit of a pain keeping your GPT/Claude Project up to date with your Linkedin activity (assuming you even have one).
We thought: "Wouldn't it be nice if GPT could connect to our Linkedin profile so I could just tell it to go look at it?"
And then this happened.
But, that's not all.
It’s part of the broader LiGo platform, which covers commenting, analytics, CRM, and more. Go check it out.
Also Check Out
- Chrome Extension: Comment and post directly from LinkedIn.
- Post Rewriter Tool: Turn rough drafts into LinkedIn-ready posts.
- What is LiGo?: Full product overview.
Stay Updated
This README will be the canonical source for MCP runner updates.
For feedback, improvements, or integration ideas, open an issue or reach out via ligo.ertiqah.com/contact.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.