# Bilibili

> Use this tool when you need to access and analyze data from the Bilibili video platform, such as user information, video details, and search results. It solves problems of data retrieval and processing for AI assistants, providing a standardized interface for requests and responses. The Bilibili MCP server takes in queries and returns structured data, making it ideal for use cases that require seamless integration with the platform's content.

Canonical page: https://skillsregistry.net/skills/wangshunnn-bilibili  
JSON: https://api.skillsregistry.net/v1/skills/wangshunnn-bilibili

## Description

The Bilibili MCP server provides AI assistants with direct access to Bilibili video platform data through a TypeScript implementation. Developed by Soon Wang, this server exposes tools for retrieving user information, video details, and performing searches on the platform. It leverages the Model Context Protocol SDK to establish a stdio-based communication channel, handling requests and formatting responses in a structured manner. The implementation includes internationalization support and utility functions for processing Bilibili-specific data formats, making it valuable for users who want to access and analyze content from this popular Chinese video sharing platform without switching contexts.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/wangshunnn-bilibili)
- **Repository:** <https://github.com/wangshunnn/bilibili-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "wangshunnn-bilibili"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wangshunnn-bilibili` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wangshunnn-bilibili/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt