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Bilibili MCP Server
An MCP server developed in Go, supporting SSE and stdio operation modes. It provides functions for querying Bilibili personal information, following lists, and video search, and helps AI select personalized video content.
rating : 2.5 points
downloads : 6.9K
What is BiliMCP?
BiliMCP is a middleware server designed specifically for accessing Bilibili data. It simplifies the process of obtaining Bilibili user information, video content, and dynamic data. Through standardized interfaces, it provides AI applications with the ability to access structured Bilibili data.How to use BiliMCP?
Start the service via a simple command line, which supports two communication methods: SSE and stdio. When accessing private data, simply configure a YAML file containing Bilibili cookies.Use Scenarios
Suitable for AI application development that requires integrating Bilibili data, especially scenarios that need personalized video recommendation, user behavior analysis, or automatic content generation.Main Functions
User Information Query
Get the basic information of Bilibili users. Some functions require login status.
Following List
Get the list of UP - masters that the user has recently followed (login required).
Video Search
Search for Bilibili video content by keywords.
Dynamic Content
A function for obtaining user dynamic content that is under development.
Advantages
Simplify the process of accessing Bilibili data
Provide structured data interfaces for AI applications
Support private data access (login required)
Light - weight Go implementation with high performance
Limitations
Some functions require user login status
The dynamic content function is still under development
Dependent on the stability of the Bilibili API
How to Use
Prepare the Configuration File
Create a YAML configuration file containing Bilibili cookies
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Start the Service
Start the MCP service via the command line and specify the configuration file path
Connect to the Service
Establish a connection with the service via SSE or stdio
Usage Examples
Personalized Recommendation System
Build a personalized video recommendation engine by obtaining the user's following list
Content Analysis
Search for videos on a specific topic for content analysis
Frequently Asked Questions
How to obtain Bilibili cookies?
What communication protocols does the service support?
When will the dynamic function be available?
Related Resources
GitHub Repository
Project source code and the latest version
Bilibili API Documentation
Unofficial Bilibili API documentation
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