Linkedin Mcp Assistant
Description
# LiGo + LinkedIn MCP Runner  **The first GPT-powered creative co-pilot trained on your actual LinkedIn content.** <a…
About
# LiGo + LinkedIn MCP Runner  **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"…
Details
- Author
- ertiqah
- GitHub stars
- 30
- Downloads
- 473
- Categories
- AI
Jump to
- Works with both Claude and ChatGPT
- Accesses your public LinkedIn data with your consent
- Analyzes which posts got the most traction
- Identifies your writing tone from past posts
- Helps create, rewrite, or brainstorm LinkedIn content
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Linkedin Mcp AssistantCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
For Claude: download the Claude desktop app, visit ligo.ertiqah.com/integrations/claude, click “Generate Installation Command”, copy and run it in your terminal, then start chatting. For ChatGPT (CustomGPT): go to ligo.ertiqah.com/integrations/chatgpt, authenticate with LiGo, and start using the CustomGPT directly—no installation needed.
publish_linkedin_post
Publish a text post to LinkedIn, optionally including media (images/videos) specified by URL.
schedule_linkedin_post
Schedule a text post for LinkedIn at a specific future date and time, optionally including media (images/videos) specified by URL.
publish_twitter_post
Publish a text post (tweet) to Twitter.
analyze_linkedin_chat
Ask questions about the user's LinkedIn profile, content, or network, with support for multi-turn conversations.
generate_linkedin_post
Generate three LinkedIn post variants from any content (article, newsletter, notes, etc.) to optimize engagement.
get_linkedin_posts
Retrieve the user's recent LinkedIn posts with engagement metrics.
get_linkedin_profile
Retrieve the user's LinkedIn profile information including headline, summary, experience, and education.
set_linkedin_url
Set or update the LinkedIn profile URL to analyze. Required before using profile/posts retrieval tools if not set previously.
refresh_linkedin_profile
Force a refresh of the LinkedIn profile data to update any recent changes.
refresh_linkedin_posts
Force a refresh of LinkedIn posts data to capture recently published content.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"linkedin mcp assistant": {
"linkedin": {
"command": "npx",
"args": [
"-y",
"linkedin-mcp-runner"
],
"env": {
"LINKEDIN_MCP_API_KEY": "<YOUR_API_KEY> (fetch from ligo.ertiqah.com/integrations/claude"
}
}
}
}
}McpServers
{
"linkedin": {
"command": "npx",
"args": [
"-y",
"linkedin-mcp-runner"
],
"env": {
"LINKEDIN_MCP_API_KEY": "<YOUR_API_KEY> (fetch from ligo.ertiqah.com/integrations/claude"
}
}
}LiGo + LinkedIn MCP Runner
The first GPT-powered creative co-pilot trained on your actual LinkedIn content.
<a href="https://glama.ai/mcp/servers/@ertiqah/linkedin-mcp-runner">
</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.
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
- 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.
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