Code to process many kinds of content by an author into an MCP server
Overview
What is meGPT?
meGPT is a project designed to process an author's diverse content into a Model Context Protocol (MCP) server, enabling the creation of a personalized language model that can answer questions and generate summaries in the author's voice.
How to use meGPT?
To use meGPT, clone the repository, set up the Python environment, and run the build script to process the author's content. You can also contribute your own content by adding it to the repository and submitting a pull request.
Key features of meGPT?
- Supports various content types including books, blog posts, podcasts, and videos.
- Automatic processing of YouTube content, including individual videos, playlists, and channels.
- Integration with an MCP server for AI applications, allowing semantic search and content filtering.
- Robust error handling and logging for content processing.
Use cases of meGPT?
- Authors can create a personalized chatbot that answers questions based on their published content.
- Researchers can utilize the MCP server to access a wide range of processed content for analysis.
- Educators can leverage the content to develop teaching materials or interactive learning tools.
FAQ from meGPT?
- Can I use meGPT for any author?
Yes! You can clone the repository and add your own content to create a personalized model.
- Is there a cost to use meGPT?
No, meGPT is free to use and encourages contributions from other authors.
- What types of content can be processed?
meGPT supports a variety of content types including text, audio, and video, making it versatile for different authors.