Bilibili Video Info MCP
Related Servers
Alternatives to Bilibili Video Info MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceA Bilibili subtitle fetching MCP server that supports various input formats (BV number, video URL, short link) and offers configurable language preferences, output formats, and ASR fallback.8GPL 3.0
- AlicenseBqualityAmaintenanceBilibili MCP server enabling video search, comment management, danmaku, user info, dynamics, live streaming analysis, and more via 31 tools.3142 npm5MIT
- FlicenseAqualityDmaintenanceAn MCP server that extracts and analyzes subtitles from YouTube and Bilibili videos, supporting time-stamped keyword search and video information retrieval.4-
- AlicenseBqualityDmaintenanceA MCP server providing 22 tools to interact with Bilibili API, enabling video info, search, user profile, comments, rankings, and messaging with login support for write operations.223GPL 3.0
- AlicenseCqualityDmaintenanceA Model Context Protocol (MCP) server that provides services for the bilibili.com API, supporting functions such as obtaining user information and video search.31Apache 2.0
- AlicenseNot gradedqualityCmaintenanceAn MCP server for interacting with Bilibili, enabling AI assistants to search videos, fetch comments and subtitles, publish content, and manage interactions. It also adds private message reading, stable TV login, and an automated comment workflow requiring human confirmation.MIT
TDQS
Scored across 3 tools
Each tool retrieves a distinct type of content: comments, danmaku, and subtitles. There is no overlap in functionality, making it easy for an agent to select the appropriate tool.
All tool names follow a consistent 'get_' prefix followed by a resource name in snake_case (get_comments, get_danmaku, get_subtitles), providing a predictable pattern.
With 3 tools, the count is reasonable for a focused MCP server. It is within the ideal range, though it could be expanded slightly to cover more video info without becoming unwieldy.
The server name suggests it covers Bilibili video information, but the tool set lacks essential video metadata such as title, description, uploader, or statistics, leaving a significant gap for general video information tasks.