Overview
What is YouTube to LinkedIn MCP Server?
The YouTube to LinkedIn MCP Server is a Model Context Protocol server that automates the generation of LinkedIn post drafts from YouTube videos, providing high-quality, editable content drafts based on video transcripts.
How to use YouTube to LinkedIn MCP Server?
To use the server, clone the repository, set up your environment with the required API keys, and run the application locally or deploy it using Docker or Smithery.
Key features of YouTube to LinkedIn MCP Server?
- YouTube Transcript Extraction: Extracts transcripts from YouTube videos using video URLs.
- Transcript Summarization: Generates concise summaries of video content using OpenAI GPT.
- LinkedIn Post Generation: Creates professional LinkedIn post drafts with customizable tone and style.
- Modular API Design: Features a clean FastAPI implementation with well-defined endpoints.
- Containerized Deployment: Ready for deployment on Smithery.
Use cases of YouTube to LinkedIn MCP Server?
- Automating LinkedIn posts for content creators based on their YouTube videos.
- Summarizing video content for quick consumption on professional networks.
- Enhancing social media engagement by generating tailored posts from video content.
FAQ from YouTube to LinkedIn MCP Server?
- Can I use my own API keys?
Yes! You can provide your own OpenAI and YouTube API keys in the requests.
- Is the server easy to deploy?
Yes! The server can be deployed locally, via Docker, or on Smithery with straightforward instructions.
- What programming language is used?
The server is implemented in Python.