What are the system requirements for Bilibili MCP?
Node.js version 20.12.0 or higher is required.
@34892002
基本信息
Bilibili video search MCP (Model Context Protocol) service - 哔哩哔哩视频搜索MCP服务
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"bilibili-mcp-js": {
"command": "bun",
"args": [
"index.ts"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Bilibili MCP is a Model Context Protocol (MCP) server for searching and retrieving Bilibili (B站) video content. It provides a simple API interface that allows AI applications to search Bilibili videos, get trending content, video details, UP主 (creator) information, and anime schedules. It is intended for developers integrating Bilibili data into MCP‑compatible AI tools.
Bilibili MCP can be used via npx (npx bilibili-mcp-js) or by building locally from source. It supports both stdio and streamable HTTP transport (set TRANSPORT=remote and optionally PORT). Configuration is done in the MCP client’s settings (e.g., in Trae). A LangChain example and test scripts are included in the repository.
Node.js version 20.12.0 or higher is required.
Use `npx bilibili-mcp-js` or build locally and run `node dist/index.js`. Add the command and arguments to your MCP client configuration under the key `bilibili-search`.
It supports stdio (default) and streamable HTTP mode, activated by setting the environment variable `TRANSPORT=remote`. The port can be changed with `PORT`.
Yes, a hosted deployment is available on Fronteir AI.
The repository includes a LangChain example (`example.ts`) that uses `ChatOpenAI`. Configure your LLM API key and base URL in the example, then run it after building.

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