bilibili-mcp-js

# Bilibili MCP [](README-en.md) [](README.md) [](README-ja.md) [](https://archestra.ai/mcp-catalog/34892002__bilibili-mcp-js) ## Introduction This is a Bilibili video search server based on the Model Context Protocol (MCP). The server provides a simple API interface that allows users to search for video content on Bilibili. It includes LangChain call examples and test scripts. ## Acknowledgments - The LangChain example code is referenced from [mcp-langchain-ts-client](https://github.com/isaacwasserman/mcp-langchain-ts-client) ## Features - Search for a list of video content summaries on Bilibili - Retrieve popular content on Bilibili (comprehensive hot, must-watch for newcomers, rankings, all-site music charts) - Get detailed information about Bilibili videos (supports BV number or AV number) - Retrieve information about UP owners (basic information, number of fans, number of follows, etc.) - Anime schedule (broadcast information of anime within a time range) ## System Requirements - Node.js >= 20.12.0 ## AI Tool Configuration Taking Trae as an example  ## npm package Thanks to [HQHC](https://github.com/HQHC) for releasing the npm package ```json { "mcpServers": { "bilibili-search": { "command": "npx", "args": ["bilibili-mcp-js"], "description": "Bilibili video search MCP service, which can search for Bilibili video content in AI applications." } } } ``` ## Local Compilation Usage > You need to compile it before use. First run `npm run build`, then change the path here to your built dist folder path, `"args": ["d:\\your-path\\bilibili-mcp-js\\dist\\index.js"]` ```json { "mcpServers": { "bilibili-search": { "command": "node", "args": ["d:\\your-path\\bilibili-mcp-js\\dist\\index.js"], "description": "Bilibili video search MCP service, which can search for Bilibili video content in AI applications." } } } ``` ## Quick Start > If you want to run the LangChain example, please configure the llm model and modify the .\example.ts file. ```javascript const llm = new ChatOpenAI({ modelName: "gpt-4o-mini", temperature: 0, openAIApiKey: "your_api_key", // Replace with your model's key configuration: { baseURL: "https://www.api.com/v1", // Replace with your model's API address }, }); ``` bun: ```bash # Install dependencies bun i # stdio mode bun index.ts # streamable http mode TRANSPORT=remote bun index.ts TRANSPORT=remote PORT=8888 bun index.ts # Test script bun test.js # MCP Inspector bun run inspector # Run LangChain example bun build:bun bun example.ts ``` npm: ```bash # Install dependencies npm i # stdio mode npm run start # streamable http mode TRANSPORT=remote npm run start TRANSPORT=remote PORT=8888 npm run start # Test script npm run test # MCP Inspector npm run inspector # Run LangChain example npm run build node dist/example.js ``` ## Screenshots