Bilibili MCP P6i
B

Bilibili MCP P6i

A simple MCP server example project to demonstrate how to create an MCP server and interact with the Bilibili API, providing content search functionality.
2 points
8.1K

What is the Bilibili MCP Server?

This is a server example based on the Model Context Protocol (MCP), specifically designed to interact with the Bilibili platform API. It allows users to search for content on Bilibili through standardized MCP protocol commands.

How to use the Bilibili MCP Server?

You just need to run the server program and then send MCP protocol commands through standard input and output to interact with the server. The server will process your request and return the search results from Bilibili.

Applicable Scenarios

Suitable for application development that requires integrating Bilibili content search functionality, or scenarios where you want to access Bilibili data through a standardized protocol.

Main Features

Bilibili Content Search
Search for videos, articles and other content on the Bilibili platform by keywords
MCP Protocol Support
Communicate using the standardized Model Context Protocol
Advantages
Simple and easy-to-use interface
Standardized protocol for easy integration
Direct access to Bilibili's rich content resources
Limitations
Currently, the functions are relatively basic
Only supports search functionality
Requires understanding of the basic usage of the MCP protocol

How to Use

Start the Server
Run the server program in the command line
Send a Search Command
Send an MCP-format search command to the server through standard input
Get the Results
The server will return the search results through standard output

Usage Examples

Search for Technology Videos
Find the latest technology-related videos on Bilibili
Search for Anime Content
Search for anime-related content on Bilibili

Frequently Asked Questions

What is the MCP protocol?
How to install this server?
What types of Bilibili searches does the server support?

Related Resources

MCP Protocol Documentation
Official documentation for the Model Context Protocol
Bilibili API Reference
API documentation for the Bilibili open platform
Project GitHub Repository
Source code repository for this project

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
16.2K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
8.7K
4.5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
17.9K
5 points
C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
32.6K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
26.5K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
15.3K
5 points
A
Annas MCP
The MCP server and CLI tool of Anna's Archive are used to search for and download documents on the platform and support access through an API key.
Go
13.7K
4.5 points
S
Search1api
The Search1API MCP Server is a server based on the Model Context Protocol (MCP), providing search and crawling functions, and supporting multiple search services and tools.
TypeScript
18.5K
4 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
39.1K
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
24.8K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
80.2K
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
28.4K
4.3 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#
38.4K
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
69.5K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.9K
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
107.1K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase