What are the system requirements for Bilibili MCP?
Node.js version 20.12.0 or higher is required.
@34892002
基本情報
Bilibili video search MCP (Model Context Protocol) service - 哔哩哔哩视频搜索MCP服务
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"bilibili-mcp-js": {
"command": "bun",
"args": [
"index.ts"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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不止于 CSS
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