A Bilibili MCP Server that can retrieve subtitles, danmaku (bullet comments), and comments information from videos using the video URL.
Bilibili Video Info Mcp is an MCP project maintained in the lesir831/bilibili-video-info-mcp repository. The maintainer describes its purpose as “A Bilibili MCP Server that can retrieve subtitles, danmaku (bullet comments), and comments information from videos using the video URL”. Read the project documentation for the complete scope.
The documented pypi package is bilibili-video-info-mcp. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.
The example declares SESSDATA. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
{
"mcpServers": {
"bilibili-video-info-mcp": {
"command": "uvx",
"args": [
"bilibili-video-info-mcp"
],
"env": {
"SESSDATA": "your valid sessdata"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| SESSDATA | Declared in the maintainer’s client configuration. | Yes |
Independent-index web search for assistants — fresh results without the Google API maze.
Manipulates video files using FFmpeg to resize videos and extract audio in various formats.
Analyzes YouTube videos by extracting transcripts, summarizing content, and answering questions using AI.
Retrieves YouTube video URLs from a specified Watch Later playlist within a given timeframe.
Extracts subtitles from YouTube videos using a provided link.
Enables AI assistants to interact with the YouTube API through the Model Context Protocol (MCP).