# Bilibili

> Use this tool when you need to interact with the Bilibili video platform to manage comments, videos, and user engagement. It solves problems such as automating comments, liking videos, and managing favorites, with inputs including video IDs and user credentials, and outputs including successful operation notifications. Ideal for use cases requiring batch operations or automation of Bilibili interactions.

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

## Description

Interact with the Bilibili video platform through tools for sending danmaku comments, posting comments, liking videos, adding coins, managing favorites, and performing batch operations. Built on the unofficial bilibili-api-python library with async HTTP support.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

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

## 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": "maxtedu-bilibili"
    }
  }
}
```

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

---
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