B

Bilibili MCP

A tool for obtaining Bilibili's hot list based on FastMCP, supporting real-time calls to popular video data through an MCP client
2 points
6

What is bilibili-mcp?

bilibili-mcp is a convenient tool for connecting to Bilibili's hot list. You can obtain information about the most popular Bilibili videos currently through simple commands. It is designed for content creators, data analysts, and Bilibili enthusiasts, allowing them to grasp Bilibili's popular trends without complex operations.

How to use bilibili-mcp?

Just install the Python environment and run simple commands, and you can call the hot list query function through an MCP client (such as Cursor). The system will automatically handle data acquisition and format conversion, and return clear and readable video information.

Applicable scenarios

• Content creators looking for popular topics • Data analysts tracking video popularity trends • Bilibili users quickly discovering high-quality content • Teaching demonstrations of API call examples

Main features

Real-time hot list dataDirectly obtain information about the most popular videos on Bilibili currently, with timely and accurate data updates
Customizable querySupports setting the number of returned results (up to 10) to meet different needs
Structured dataReturns standard format data including title, link, description, views, and likes

Advantages and limitations

Advantages
Easy to use, no complex configuration required
Fast response, efficient data acquisition
Seamless integration with mainstream MCP clients
Lightweight design, low resource consumption
Limitations
Only supports obtaining the top 10 videos on the hot list
Relies on Bilibili's public interface and may be affected by interface changes
Requires a Python 3.12 or higher environment

How to use

Install dependencies
Ensure that Python 3.12+ is installed on the system, and then install the required dependency packages through pip
Start the service
Use the uv tool to run the bilibili-mcp service
Call the function
Call the get_popular method in the MCP client to obtain hot list data

Usage examples

Obtaining inspiration for content creationCreators understand current popular content trends by querying the hot list and find inspiration for creation
Collecting samples for data analysisResearchers regularly obtain hot list data to analyze the relationship between video popularity and content characteristics

Frequently Asked Questions

Why can I only get a maximum of 10 results?
What is the data update frequency?
Do I need a Bilibili account or API key?

Related resources

Bilibili official website
Bilibili Danmaku Video Website
FastMCP documentation
Documentation for the MCP protocol implementation framework
Python httpx library
Documentation for the HTTP client library
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
M
MCP Server Airbnb
Certified
MCP service for Airbnb listing search and details query
TypeScript
253
4 points
V
Video Editing MCP
Video Editor MCP is a video editing server that provides video upload, search, generation, and editing functions, supporting operations through the LLM and Video Jungle platforms.
Python
285
4 points
B
Bilibili MCP Js
Certified
A Bilibili video search server based on the Model Context Protocol (MCP), providing API interfaces to support video content search, paginated queries, and video information return, including LangChain call examples and test scripts.
TypeScript
250
4.2 points
M
MCP Youtube
Download YouTube subtitles via yt - dlp and connect to Claude.ai through the MCP protocol for video content analysis
TypeScript
372
4 points
F
Firecrawl MCP Server
The Firecrawl MCP Server is a Model Context Protocol server integrating Firecrawl's web - scraping capabilities, providing rich web - scraping, searching, and content - extraction functions.
TypeScript
3.9K
5 points
R
Rednote MCP
RedNote MCP is a tool that provides services for accessing Xiaohongshu content. It supports functions such as authentication management, keyword - based note search, and command - line initialization, and can access note content via URL.
TypeScript
454
4.5 points
P
Perplexity MCP
Certified
An MCP server based on the Perplexity AI API, providing web search functionality for the Claude desktop client.
Python
275
4.1 points
E
Exa Web Search
Certified
The Exa MCP Server is a server that provides web search capabilities for AI assistants (such as Claude), enabling real-time and secure web information retrieval through the Exa AI Search API.
TypeScript
1.8K
5 points
Featured MCP Services
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
837
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
97
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
150
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
572
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
761
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase