What content types does meGPT support?
It supports YouTube videos, podcasts, books (PDFs), stories, blog archives (Medium, Blogger), Twitter archives, presentation slides, and InfoQ videos.
@adrianco
基本信息
Code to process many kinds of content by an author into an MCP server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"meGPT": {
"command": "python",
"args": [
"mcp_server.py",
"--author",
"virtual_adrianco"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
meGPT is a repository and MCP (Model Context Protocol) server that organizes an author's public content—including books, blogs, podcasts, videos, and social media archives—into a searchable knowledge base for AI applications. It enables the creation of an LLM persona that can answer questions and generate summaries in the author's voice.
Clone the repository, set up a Python virtual environment, and install dependencies. Run python build.py <author> to process content, then start the MCP server with python mcp_server.py --author <author> for STDIO mode or --transport streamable-http --port 8080 for HTTP.
It supports YouTube videos, podcasts, books (PDFs), stories, blog archives (Medium, Blogger), Twitter archives, presentation slides, and InfoQ videos.
Clone the repo and add your own directory under `authors/`. If you want to contribute freely, submit a pull request.
The server requires Python 3 and packages listed in `requirements.txt`. Setup uses a virtual environment.
All content in this repo is Creative Commons Attribution-ShareAlike. Permission is explicitly granted for use as a training set for the meGPT concept.
The server supports STDIO, HTTP, and SSE transport modes, selectable via the `--transport` flag.

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