# biliscribe

> Use this tool when you need to extract and format video content from Bilibili into structured text for large language model (LLM) processing and analysis. It solves problems related to video data extraction, formatting, and compatibility with LLMs, taking Bilibili video URLs or IDs as input and outputting formatted text. Ideal for use cases requiring video content analysis, such as sentiment analysis, entity recognition, or topic modeling.

Canonical page: https://skillsregistry.net/skills/mcp-server-summary-biliscribe  
JSON: https://api.skillsregistry.net/v1/skills/mcp-server-summary-biliscribe

## Description

Extracts and formats Bilibili video content into structured text for LLM processing and analysis.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yyqqbckezj)
- **Repository:** <https://github.com/mcp-server-summary/biliscribe>

## 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": "mcp-server-summary-biliscribe"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcp-server-summary-biliscribe` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcp-server-summary-biliscribe/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