📺 bilibili-mcp
@xspadex
About 📺 bilibili-mcp
No overview available yet
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"bilibili-mcp": {
"command": "uv",
"args": [
"tool",
"run",
"bilibili-mcp"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
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
httpxfor asynchronous HTTP requests - Communicates over
stdiofor 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.
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