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LinkedIn MCP Assistant

LiGo MCP is the first Claude + ChatGPT integration built for LinkedIn creators. It gives your AI assistant access to your post history - so it can analyze what works, write in your voice, and publish or schedule content directly. Set it up once, use it daily. No prompt engineering needed. Use it to: - Build a LinkedIn-native content engine - Post in your voice, fast - Schedule straight from chat

Last updated: 1/27/2026

README

# LiGo + LinkedIn MCP Runner

![How it works](https://raw.githubusercontent.com/Broever101/bimi-assets/refs/heads/main/how-mcp-works.png)

**The first GPT-powered creative co-pilot trained on your actual LinkedIn content.**

<a href="https://glama.ai/mcp/servers/@ertiqah/linkedin-mcp-runner">
  <img width="380" height="200" src="https://glama.ai/mcp/servers/@ertiqah/linkedin-mcp-runner/badge" alt="LinkedIn Assistant MCP server" />
</a>

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

1. [Download the Claude desktop app](https://claude.ai/download).
2. Visit [ligo.ertiqah.com/integrations/claude](https://ligo.ertiqah.com/integrations/claude)
3. Click **"Generate Installation Command"**
   - If not logged in, you’ll be routed to authenticate with LiGo
4. Copy the command and run it in your terminal
5. 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.

1. Go to [ligo.ertiqah.com/integrations/chatgpt](https://ligo.ertiqah.com/integrations/chatgpt)
2. Authenticate with LiGo when prompted
3. 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](https://ligo.ertiqah.com/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 [LigoSocial platform](https://ligosocial.com), which covers commenting, analytics, CRM, and more. Go check it out.
---

## Also Check Out

- [Chrome Extension](https://chromewebstore.google.com/detail/ligo-for-linkedin%C2%AE/dlclgkldbjggemolgmajabobdcofgjof): Comment and post directly from LinkedIn.
- [Post Rewriter Tool](https://ligo.ertiqah.com/tools/linkedin-post-rewriter): Turn rough drafts into LinkedIn-ready posts.
- [What is LiGo?](https://ligo.ertiqah.com/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](https://ligo.ertiqah.com/contact).

Installation

Add this MCP to your configuration:

{
  "mcpServers": {
    "linkedin-mcp-assistant": {
      // See GitHub repository for configuration
    }
  }
}

See the GitHub repository for full installation instructions.