bilibili-mcp-js

Standardized Bilibili video search server based on Model Context Protocol.

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Provides a Bilibili video search server that implements the Model Context Protocol (MCP), offering standardized API endpoints for querying video data. Supports features like paginated search, returning video details (title, author, views, duration), and showcases integration examples with LangChain. Designed to be used as an MCP-compliant service within larger AI-driven applications or pipelines. Includes setup instructions and testing scripts for both bun and npm ecosystems.

Key Features

MCP-compliant video search API for Bilibili

Paginated search of video content

Returns detailed video metadata (title, author, views, duration)

Supports both npm and bun environments

Example integrations with LangChain

Test scripts and MCP Inspector included

Standardized interface for AI applications

Multi-language README documentation

Easy deployment via npm package

Automated video data retrieval

Use Cases

Integrating Bilibili video search into conversational AI agents

Powering knowledge retrieval pipelines with Bilibili data

Enabling automated video discovery for research tools

Providing structured video metadata for content recommendation engines

Facilitating interactive video search features in chatbots

Enhancing language learning applications with targeted video search

Supporting trend analysis based on Bilibili video statistics

Developing tools to monitor video performance on Bilibili

Building MCP-compliant services for multimedia search

Integrating with LangChain to demonstrate protocol interoperability

README

Bilibili MCP

简介

这是一个基于 Model Context Protocol (MCP) 的 B站视频搜索服务器。该服务器提供了简单的 API 接口，允许用户搜索 B站的视频内容。提供LangChain调用示例、测试脚本。

鸣谢

LangChain 示例代码参考自 mcp-langchain-ts-client

功能特点

B站视频搜索
支持分页查询
返回视频信息（标题、作者、播放量、时长等）
基于 MCP 协议的标准化接口

系统要求

Node.js >= 20.12.0

npm package

感谢HQHC发布的npm包

json

{
  "mcpServers": {
    "bilibili-search": {
    "command": "npx",
    "args": ["bilibili-mcp"],
    "description": "B站视频搜索 MCP 服务，可以在AI应用中搜索B站视频内容。"
    }
  }
}

快速开始

如果要运行langchain例子，请先配置llm模型，修改.\example.ts文件。

javascript

const llm = new ChatOpenAI({
  modelName: "gpt-4o-mini",
  temperature: 0,
  openAIApiKey: "your_api_key", // 替换成你模型的密钥
  configuration: {
    baseURL: "https://www.api.com/v1", // 替换成你模型的API地址
  },
});

bun:

bash

bun i
bun index.ts
# 测试脚本
bun test.js
# MCP Inspector
bun run inspector
# 运行langchain例子
bun build:bun
bun example.ts

npm:

bash

npm i
npm run start
# 测试脚本
npm run test
# MCP Inspector
npm run inspector
# 运行langchain例子
npm run build
node dist/example.js

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Repository Owner

34892002

User

Repository Details

Language TypeScript

Default Branch main

Size 264 KB

Contributors 1

MCP Verified Sep 5, 2025

Programming Languages

TypeScript

53.97%

JavaScript

46.03%

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