Bilibili Api Mcp Server

What is Bilibili Api Mcp Server?

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.

How to use Bilibili Api Mcp Server?

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.

Key features of Bilibili Api Mcp Server

• Intelligent video search and recommendation with rationales
• Search Bilibili users by name, sortable by followers
• Retrieve user’s latest posts, videos, and public collections
• Fetch danmaku (bullet comments) from any video
• Supports exact-match user lookup and fuzzy collection search

Use cases of Bilibili Api Mcp Server

• AI assistant that recommends Bilibili videos based on user queries
• Automated content curation from a creator’s uploads and collections
• Collecting demographic data on Bilibili users (via follower counts)
• Analysing video popularity and audience engagement from search results
• Extracting danmaku for sentiment or trend analysis in videos

FAQ from Bilibili Api Mcp Server

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.

What runtime or dependencies are required?

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.

How do I configure the server in an MCP client?

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.

What kind of data does the server access?

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.

Are there any limits on the operations?

The README does not specify API rate limits or authentication requirements; it only mentions configurable result counts (e.g., top 15 videos by default).