Bilibili MCP Js

🚀 Bilibili MCP Server

This is a Bilibili video search server based on the Model Context Protocol (MCP). It offers simple API interfaces for users to search Bilibili video content, and provides LangChain invocation examples and test scripts.

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🚀 Quick Start

⚠️ Important Note

If you want to run the LangChain example, you need to configure the LLM model first and modify the .example.ts file.

const llm = new ChatOpenAI({
  modelName: "gpt-4o-mini",
  temperature: 0,
  openAIApiKey: "your_api_key", // Replace with your model key
  configuration: {
    baseURL: "https://www.api.com/v1", // Replace with your API address
  },
});

Running Commands

• In a bun environment:

  bun i
  bun index.ts
  # Test script
  bun test.js
  # MCP inspection tool
  bun run inspector
  # Run the LangChain example
  bun build:bun
  bun example.ts
  

• In an npm environment:

  npm i
  npm run start
  # Test script
  npm run test
  # MCP inspection tool
  npm run inspector
  # Run the LangChain example
  npm run build
  node dist/example.js
  

✨ Features

• Bilibili video search function
• Support for paginated queries
• Returns video information (title, author, views, duration, etc.)
• Standardized interface design based on the MCP protocol

📦 Installation

System Requirements

• Node.js >= 20.12.0

npm Package

Thanks to HQHC for publishing the npm package:

{
  "mcpServers": {
    "bilibili-search": {
    "command": "npx",
    "args": ["bilibili-mcp"],
    "description": "Bilibili video search MCP service, supporting the invocation of Bilibili video content in AI applications."
    }
  }
}

📚 Documentation

Screenshots

Explanation: Figure 1: Test results
Explanation: Figure 2: Other test results

📄 Acknowledgments

• Referenced the LangChain example code from mcp-langchain-ts-client