LinkedIn MCP Runner

MCPOfficialOpen SourceMIT42.5

by ertiqah • Analytics & Monitoring

A LiGo MCP server that lets GPT/Claude assistants access your public LinkedIn data to analyze, rewrite, and create posts based on your past content.

Example Use Cases

1
Analyze a user's recent LinkedIn posts and surface which posts gained the most traction and why
2
Rewrite or generate LinkedIn posts that match a user's established tone and hooks
3
Access public LinkedIn content and metadata for content strategy, analytics, or leaderboard displays

Description

This official LiGo runner implements a Model Context Protocol (MCP) integration that pulls a user’s public LinkedIn posts and metadata so GPT-based assistants (Claude or ChatGPT) can act like a content strategist. It can analyze recent posts, surface what’s working, rewrite drafts in your voice, and generate post ideas. The README also highlights integrations (Claude desktop, ChatGPT CustomGPT), a public MCP leaderboard demo, and related LiGo tools like a Chrome extension and post rewriter.

Capabilities(10 total)

Tools (10)

publish_linkedin_post

Publish a text post to LinkedIn, optionally including media (images/videos) specified by URL.

post_text:string*media:array

schedule_linkedin_post

Schedule a text post for LinkedIn at a specific future date and time, optionally including media (images/videos) specified by URL.

post_text:string*scheduled_date:string*media:array

publish_twitter_post

Publish a text post (tweet) to Twitter.

post_text:string*

analyze_linkedin_chat

Ask questions about the user's LinkedIn profile, content, or network, with support for multi-turn conversations.

query:string*conversation_history:array

generate_linkedin_post

Generate three LinkedIn post variants from any content (article, newsletter, notes, etc.) to optimize engagement.

content:string*content_type:string

Quick Actions

View on GitHub

Security

Scanned 1 month(s) ago

Risk Level

MINIMAL

Read-only data retrieval, no side effects

Trust Score

C56/100

6/17 checks passed

Scores are informational only and provided “as is” without warranty. AgentHotspot assumes no liability for actions taken based on these ratings.

Quick Stats

Service TypeMCP

Pricing ModelUnknown

Capabilities10 Tools / 0 Prompts / 0 Resources

Ownerertiqah

CategoryAnalytics & Monitoring

DependenciesStandalone

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