Bilibili Video Search

Example Use Cases

• 1

  Search Bilibili for relevant videos and retrieve structured metadata (title, author, play count, duration) to inform responses.

• 2

  Integrate Bilibili search results into LangChain or other LLM application pipelines as a retriever/source of context.

• 3

  Paginated access to Bilibili video listings to support browsing, recommendation, or further automated processing.

Description

This repository implements a Bilibili video search server based on the Model Context Protocol (MCP). It exposes simple APIs for searching Bilibili content, supports pagination, and returns video metadata such as title, author, play count, and duration. The project includes LangChain integration examples, test scripts, and an npm/bun runnable package to help embed the service in AI agents. It requires Node.js >= 20.12.0.

Capabilities(8 total)