What does this server do?
It provides an MCP interface to the Bilibili API, allowing MCP clients to search videos, find users, retrieve user content (videos, posts, collections), and fetch video danmaku programmatically.
@SMYB5431
基本情報
概要はまだありません
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": {
"type": "stdio",
"isActive": true,
"command": "uvx",
"args": [
"bilibili-api-mcp-server"
]
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
An MCP (Model Context Protocol) server that wraps the Bilibili API, enabling AI assistants to search for videos and users, retrieve user content, and fetch video danmaku (bullet comments). It is intended for developers integrating Bilibili data into MCP-compatible clients.
Use uvx bilibili-api-mcp-server as the command in any MCP client’s JSON configuration. Alternatively, clone the repository, install dependencies with uv sync, and point the client to the local installation. The server exposes multiple tools for searching, user content retrieval, and danmaku fetching.
It provides an MCP interface to the Bilibili API, allowing MCP clients to search videos, find users, retrieve user content (videos, posts, collections), and fetch video danmaku programmatically.
Python with `uv` (a fast project manager). The server can be run via `uvx` from PyPI without manual installation, or cloned and run locally with `uv sync`.
Add a JSON entry under `mcpServers` with command `uvx` and args `["bilibili-api-mcp-server"]`. For local development, use `uvx` with `--directory` pointing to the cloned repository.
It accesses publicly available Bilibili data: video search results, user profiles, user dynamics (posts), video lists, collection metadata, and danmaku. No authentication or private data is required.
The README does not specify API rate limits or authentication requirements; it only mentions configurable result counts (e.g., top 15 videos by default).

Local-first credential broker for MCP. AI coding agents (Claude Code, Cursor, Codex…) call APIs, SSH and databases through scoped presets; secrets stay in your OS keychain and never enter the agent's context.

TestMu AI MCP Server lets developers run, debug, and triage tests through natural language directly from their IDE (Cursor, Claude, GitHub Copilot, and other MCP clients). It exposes five tools — HyperExecute (test orche
Model Context Protocol (MCP) server for TranscriptFetch: fetch YouTube transcripts, search, channels, and playlists from any MCP client.

Ask Claude or ChatGPT what Shopify theme optimization tasks are pending on your store, a remote MCP server for TaskerArmy Agent accounts.
コメント