📺 bilibili-mcp

Name: 📺 bilibili-mcp
Author: xspadex

@xspadex

リポジトリ

📺 bilibili-mcp について

概要はまだありません

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

xspadex

設定

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": {
      "command": "uv",
      "args": [
        "tool",
        "run",
        "bilibili-mcp"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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。

概要

What is bilibili-mcp?

bilibili-mcp is a Model Context Protocol (MCP) server that fetches the Bilibili trending list (hot list) using FastMCP and Bilibili’s public API. It is designed for developers who use MCP clients such as Cursor to retrieve real‑time popular video data.

How to use bilibili-mcp?

Install dependencies (Python ≥3.12, httpx, and mcp[cli]≥1.6.0). Run the server via uv tool run bilibili-mcp or add it as an MCP tool in the client’s JSON configuration. The tool exposes a single MCP tool named get_popular(top_k) which returns up to top_k (max 10) trending Bilibili videos.

Key features of bilibili-mcp

Fetches Bilibili hot list via public API endpoints
Returns video title, link, description, view count, and like count
Supports configurable number of results (≤10)
Built with FastMCP for automatic tool registration
Uses httpx for asynchronous HTTP requests
Communicates over stdio for MCP client integration

Use cases of bilibili-mcp

Monitor daily trending content on Bilibili from a Cursor AI workflow
Collect video metadata for content analysis or research
Integrate trending video feeds into custom MCP‑enabled applications

FAQ from bilibili-mcp

What dependencies are required for bilibili-mcp?

Python 3.12 or later, httpx, and mcp[cli]≥1.6.0.

What is the maximum number of videos I can retrieve?

get_popular accepts a top_k integer; the server returns at most 10 entries.

Where does the video data come from?

The server accesses Bilibili’s public trending list interface.

Does bilibili-mcp require authentication or API keys?

No. The README does not mention any authentication step; the API used is public.

Are there usage limits or restrictions?

The README notes the tool is for learning and research only. Users should avoid making requests too frequently and should consider changing the default User-Agent header ("qwq") to a more appropriate value.