# mcp-video-recognition-bilibili

> mcp-video-recognition-bilibili — tsukikagehoshi-mcp-video-recognition-bilibili. Use this tool when you need to analyze multimedia content, such as images, audio, and videos, and require support for downloading videos from popular platforms like Bilibili and YouTube. It solves problems related to multimedia analysis, content recognition, and video downloading, providing outputs such as analyzed data and downloaded video files. The tool takes URLs and multimedia files as inputs, making it a versatile solution for various use cases.

Canonical page: https://skillsregistry.net/skills/tsukikagehoshi-mcp-video-recognition-bilibili  
JSON: https://api.skillsregistry.net/v1/skills/tsukikagehoshi-mcp-video-recognition-bilibili

## Description

Analyzes images, audio, and video using Google's Gemini AI, with support for downloading videos from URLs such as Bilibili and YouTube.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tnzvixh0du)
- **Repository:** <https://github.com/tsukikagehoshi/mcp-video-recognition-bilibili>

## 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": "tsukikagehoshi-mcp-video-recognition-bilibili"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tsukikagehoshi-mcp-video-recognition-bilibili` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tsukikagehoshi-mcp-video-recognition-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