Bilibili MCP 服务器

@Mr-House

Repository

Basic information

About Bilibili MCP 服务器

No overview available yet

#bilibili #mcp-server #api-integration

Bilibili MCP 服务器 config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "bilibili-mcp-server-mr-house": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-r",
        "requirements.txt"
      ]
    }
  }
}

Bilibili MCP 服务器 tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Bilibili MCP 服务器?

Bilibili MCP 服务器 is an MCP server project that provides general search functionality for the Bilibili API, enabling integration with other systems via the Model Context Protocol.

How to use Bilibili MCP 服务器?

Ensure Python 3.10 or higher is installed, then install dependencies with uv pip install -r requirements.txt. Start the server by running uv --directory <path-to-project> run bilibili.py.

Key features of Bilibili MCP 服务器

Provides general search of Bilibili content
Integrates with other systems via MCP protocol
Uses Python 3.10+ and uv for dependency management

Use cases of Bilibili MCP 服务器

Search Bilibili videos or users through MCP clients
Incorporate Bilibili search results into AI agent workflows

Frequently asked questions

What Python version is required?

Python 3.10 or higher is required.

How do I install dependencies?

Install dependencies by running `uv pip install -r requirements.txt` in the project directory.

How do I start the Bilibili MCP 服务器?

Run the command `uv --directory /Users/zao/project/bilibili-mcp-server run bilibili.py`, adjusting the directory path to your local setup.

Is there any authentication or transport configuration?

The README does not specify authentication, transport, or data storage details.

How can I contribute to this project?

Open a Pull Request, ensuring code follows PEP 8, includes unit tests, and updates documentation as needed.

Comments

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