A Model Context Protocol (MCP) server that extracts content from multiple video platforms (Douyin, Bilibili, Xiaohongshu, Zhihu) and generates intelligent knowledge graphs with OCR support.
Overview
what is Video Content Summarization MCP Server?
Video Content Summarization MCP Server is a Model Context Protocol (MCP) server designed to extract content from various video platforms and generate intelligent knowledge graphs with OCR support.
how to use Video Content Summarization MCP Server?
To use the server, clone the repository, set up the environment, and run the server. You can process videos by providing URLs from supported platforms like Douyin, Bilibili, Xiaohongshu, and Zhihu.
key features of Video Content Summarization MCP Server?
- Multi-platform support for video content extraction
- OCR text recognition for image text extraction
- Knowledge graph generation for structured content analysis
- Context-aware extraction for improved content understanding
use cases of Video Content Summarization MCP Server?
- Extracting and summarizing content from social media videos.
- Generating knowledge graphs for educational or research purposes.
- Enhancing video content accessibility through text extraction.
FAQ from Video Content Summarization MCP Server?
- What platforms does the server support?
The server supports Douyin, Bilibili, Xiaohongshu, and Zhihu.
- Is OCR supported?
Yes, the server includes OCR capabilities for text extraction from images.
- How do I install the server?
Follow the installation instructions in the repository, including setting up a Python environment and installing dependencies.