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Linkedin Mcp Assistant

Linkedin Mcp Assistant

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github.com/ertiqahAI & Agents31Updated 31w ago

About Linkedin Mcp Assistant

LiGo LinkedIn MCP Runner is the runner repository for LiGo's MCP server, which lets Claude or ChatGPT access a user's public LinkedIn posts to analyze and draft content. It is aimed at people who want to build on their past posts and connects through the LiGo platform.

Key features

  1. 01Reads public LinkedIn post data for the user
  2. 02Analyzes post performance and writing tone
  3. 03Helps draft and rewrite LinkedIn posts
  4. 04Provides an install command for the Claude desktop app
  5. 05Offers a ChatGPT CustomGPT integration

Use cases

  1. 01Reviewing recent post performance and planning next topics
  2. 02Rewriting drafts to match a personal writing style
  3. 03Brainstorming LinkedIn content inside Claude or ChatGPT

MCP support

The project runs as an MCP server that gives assistants such as Claude or ChatGPT access to the user's LinkedIn context.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"linkedin-mcp-runner": {
"command": "npx",
"args": [
"-y",
"linkedin-mcp-runner"
],
"env": {
"LINKEDIN_MCP_API_KEY": "<LINKEDIN_MCP_API_KEY>"
}
}
}
}
Run commandnpx -y linkedin-mcp-runner
Environment variables to set
LINKEDIN_MCP_API_KEYSecret

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmlinkedin-mcp-runner

Tools

10

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
post_textstringYesThe text content of the LinkedIn post.
mediaarrayNoOptional. A list of media items to attach to the post. Each item must have a 'file_url' pointing to a direct image or video URL and a 'filename'.

Details

From the project README

LiGo + LinkedIn MCP Runner

How it works

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

LinkedIn Assistant MCP server

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.
  2. Visit 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
  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

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, which covers commenting, analytics, CRM, and more. Go check it out.

Also Check Out


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.

Comments

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