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Bilibili
An MCP server developed in Go, supporting SSE and stdio operation modes, providing functions such as Bilibili personal information query, latest following list, and video search, and facilitating AI to select personalized video content.
rating : 2.5 points
downloads : 10.5K
What is BiliMCP Server?
BiliMCP is a middleware server specifically designed for accessing Bilibili data, supporting operation via SSE and standard input/output. It helps developers or AI systems obtain data such as Bilibili user information and video content.How to use BiliMCP Server?
Start the service through a simple command line. You can choose whether to load a configuration file containing Bilibili cookies to access private data. After the service is started, you can query various types of Bilibili data through standard interfaces.Use cases
Suitable for scenarios such as AI training, content analysis systems, and personalized recommendation engines that require batch acquisition of Bilibili data. Particularly suitable for applications that need to process user private data (such as the following list).Main features
User information query
Get public information of Bilibili users. Private information can be queried after logging in.
Following list
Get the user's latest following list (login required).
Video search
Search for Bilibili video content by keyword.
User dynamics (under development)
Support for obtaining user dynamic content will be available soon.
Advantages
Lightweight implementation in Go language with high performance
Supports two operation modes: SSE and standard IO
Provides structured Bilibili data for AI systems
Supports private data access (login required)
Limitations
The current functions are still being continuously improved
Manual maintenance of cookie information is required
The dynamic function is not fully open yet
How to use
Prepare the configuration file
Create a YAML configuration file containing your Bilibili cookies.
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Start the service
Start the service through the command line and specify the path to the configuration file.
Send a request
Send a data request through the standard input or SSE interface.
Usage examples
AI personalized recommendation
The AI system obtains the user's following list through MCP, analyzes interest preferences, and then recommends relevant videos.
Content analysis
Batch obtain video data for analysis and generate a popular content report.
Frequently Asked Questions
How to obtain Bilibili cookies?
Does the service support HTTPS?
How to control the data update frequency?
Related resources
GitHub repository
Project source code and the latest version
Bilibili API documentation
Reference for Bilibili's unofficial API documentation
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