LinkedIn Post Generator logo

LinkedIn Post Generator

by NvkAnirudh

This Model Context Protocol (MCP) server automates generating professional LinkedIn post drafts from YouTube videos. It streamlines content repurposing by extracting transcripts, summarizing content, and generating engaging LinkedIn posts tailored to your preferences.

View on GitHub

Last updated: N/A

What is LinkedIn Post Generator?

The LinkedIn Post Generator is an MCP server that automates the process of creating LinkedIn posts from YouTube videos. It extracts transcripts, summarizes the content, and generates tailored LinkedIn posts.

How to use LinkedIn Post Generator?

To use the server, you can either run it locally or integrate it with Claude Desktop or other AI assistants that support the Model Context Protocol. You'll need to set up API keys for OpenAI and optionally YouTube. Then, you can use the available tools like youtube_to_linkedin_post to generate posts directly from YouTube URLs.

Key features of LinkedIn Post Generator

  • YouTube Transcript Extraction

  • Content Summarization

  • LinkedIn Post Generation

  • All-in-One Workflow

  • Customization Options

  • MCP Integration

Use cases of LinkedIn Post Generator

  • Automating LinkedIn content creation from YouTube videos

  • Repurposing video content for a professional audience

  • Saving time on LinkedIn post drafting

  • Creating engaging content with customizable tone and style

FAQ from LinkedIn Post Generator

What API keys do I need?

You need an OpenAI API key, and a YouTube API key is optional but recommended for enhanced metadata retrieval.

How do I set up the API keys?

You can set them up via Claude Desktop configuration, as environment variables in a .env file, or using the set_api_keys tool.

Can I customize the tone of the LinkedIn post?

Yes, you can customize the tone, audience, word count, and other parameters to match your personal brand.

Does it support call to actions?

Yes, you can include a call to action in the generated LinkedIn post.

How do I deploy the server?

The server is designed to be deployed on Smithery. You can deploy your own instance using the Smithery CLI.