LabscoMCP early access ↗
NvkAnirudhMCP SERVER

LinkedIn Post Generator

Turn a YouTube video into a LinkedIn post draft — transcript out, summary in the tone you pick, post written in your voice, in one call or three.

by NvkAnirudh ↗Marketing Automation & AdvertisingCommunity

LABSCO SUMMARY

Three steps you can inspect, or one call that does all three.

The all-in-one tool is the fast path, but the reason to keep the separate tools is control: summarising at 300 words for a technical audience and then writing in first person is a different post from the default, and each intermediate result is something you can read and correct before the next step runs. The output is a draft — nothing here posts to LinkedIn.

What it is

An MCP server for repurposing video into written content. It pulls a YouTube transcript, summarises it for a tone and audience you choose, and writes a LinkedIn post from that summary — each step available on its own, or chained end to end from a single URL.

What you get

  • The transcript of any YouTube video, from its URL — extract_transcript
  • A summary of that transcript at a length you set between 100 and 300 words, in an educational, inspirational, professional or conversational tone, aimed at a general, technical, business or academic audience — summarize_transcript
  • A LinkedIn post written from the summary, with the video title, optional speaker name and hashtags, in first-person, third-person or thought-leader voice, with or without a call to action — generate_linkedin_post
  • The whole chain from a YouTube URL to a finished post draft in one call — youtube_to_linkedin_post
  • Keys set and checked from inside the conversation when they were not supplied in configuration — set_api_keys, check_api_keys

Requirements

An OpenAI API key is required — it does the summarising and the writing — and goes in OPENAI_API_KEY. A YouTube API key in YOUTUBE_API_KEY is optional and improves metadata retrieval. The npm package name is yt-to-linkedin-mcp (1.0.0); run it from a clone with npm run dev, or through the hosted Smithery deployment, which takes both keys in its --config argument so you set them once.

Setup effort

One command plus a key — npx -y github:NvkAnirudh/LinkedIn-Post-Generator, then supply credentials