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YouTube to LinkedIn MCP Server

by NvkAnirudh

The YouTube to LinkedIn MCP Server automates generating LinkedIn post drafts from YouTube videos. It provides high-quality, editable content drafts based on YouTube video transcripts.

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What is YouTube to LinkedIn MCP Server?

This is a Model Context Protocol (MCP) server that leverages YouTube video transcripts and OpenAI's GPT to generate LinkedIn post drafts. It offers a modular API for extracting transcripts, summarizing content, and creating professional-looking posts.

How to use YouTube to LinkedIn MCP Server?

To use the server, you can either deploy it locally using Python and Docker, or deploy it to Smithery. You'll need an OpenAI API key and optionally a YouTube Data API key. The API provides endpoints for transcript extraction, summarization, and post generation, each requiring specific request bodies as detailed in the documentation.

Key features of YouTube to LinkedIn MCP Server

  • YouTube Transcript Extraction

  • Transcript Summarization using OpenAI GPT

  • LinkedIn Post Generation with customizable tone and style

  • Modular API Design with FastAPI

  • Containerized Deployment ready for Smithery

Use cases of YouTube to LinkedIn MCP Server

  • Automating LinkedIn content creation for YouTubers

  • Repurposing YouTube video content for professional networking

  • Generating engaging LinkedIn posts from educational video content

  • Creating a consistent LinkedIn presence with minimal effort

FAQ from YouTube to LinkedIn MCP Server

What is an MCP Server?

MCP stands for Model Context Protocol. In this context, it refers to a server designed to facilitate the interaction between different models (like the YouTube transcript and the OpenAI language model) to achieve a specific task.

Do I need both OpenAI and YouTube API keys?

The OpenAI API key is required for summarization and post generation. The YouTube API key is optional but recommended for fetching video metadata, which can improve the quality of the generated content. If not provided in environment variables, they can be passed in the requests.

Can I customize the tone and style of the LinkedIn posts?

Yes, the LinkedIn post generation endpoint allows you to customize the tone, voice, and audience of the generated posts. You can also include hashtags and a call to action.

What is Smithery?

Based on the documentation, Smithery is a platform where this application can be deployed. More information about Smithery would be needed to provide a more detailed description.

What if the YouTube video doesn't have a transcript?

The server attempts to extract the transcript from the YouTube video. If no transcript is available, the summarization and post generation steps will likely fail or produce poor results. It is recommended to use videos with available transcripts.