Bilibili's daily user time rises to 112 minutes, average age 26, with increased spending. AI boosts ad efficiency, accelerating commercialization.....
Bilibili launches an AI creation contest on Jan 5 with two tracks: open and 'The Three-Body Problem' adaptation, offering over 3 million yuan in prizes across 77 awards globally.....
Bilibili's 2025 New Year's Eve gala partners with Qianwen APP as exclusive sponsor, integrating AI creation for interactive shows and online engagement, featuring AI-driven activities like 'Cheers to the New Year with AI' for innovative user experiences.....
ClipSketch AI is an open-source tool that converts long videos into hand-drawn storyboards and auto-generates social media copy, boosting content creation efficiency. It intelligently extracts video content from platforms like Bilibili and Xiaohongshu.....
A Bilibili open-source SOTA animation video generation model that supports one-click generation of various 2D style videos.
An extremely fast Bilibili live stream recording, automatic segmentation, and subtitle processing tool.
A virtual digital human project that supports live streaming on Bilibili.
A video editing tool produced by Bilibili that makes creation more enjoyable.
A Bilibili video search server based on the Model Context Protocol (MCP), providing API interfaces to support video content search, paginated queries, and video information return, including LangChain call examples and test scripts.
The MCP server of the Bilibili API, supporting various operations on Bilibili data
This project provides the function of downloading subtitles from platforms such as YouTube and Bilibili, supports multiple languages, and integrates with the AITransDub MCP service.
An MCP service project based on bilibili-api
An MCP server project for interacting with the Bilibili API, providing search functionality and system integration capabilities.
An MCP server project for Bilibili API interaction
An MCP server developed in Go, supporting SSE and stdio operation modes. It provides functions for querying Bilibili personal information, following lists, and video search, and helps AI select personalized video content.
A service based on FastMCP that uses Replicate and 0x0.st to achieve online transcription of YouTube/Bilibili videos, providing text output with timestamps and temporary file hosting.
An MCP server developed in Go, supporting SSE and stdio operation modes, providing functions such as Bilibili personal information query, latest following list, and video search, and facilitating AI to select personalized video content.
The most easily installable Bilibili MCP server, supporting the latest MCP protocol. It is recommended to use Cherry Studio for development.
A simple MCP server example project to demonstrate how to create an MCP server and interact with the Bilibili API, providing content search functionality.
A tool for obtaining Bilibili's hot list based on FastMCP, supporting real-time calls to popular video data through an MCP client
A Bilibili follower count query service based on the MCP protocol, which obtains the follower count of Bilibili users by their user IDs and supports integration with large models.