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.