# bilibili-mcp

> bilibili-mcp — 77rickliu-bilibili-mcp. Use this tool when you need to interact with Bilibili, a popular video sharing platform, to search videos, manage comments and subtitles, or publish content. It solves problems related to automating Bilibili interactions, such as comment management and content publishing, and provides inputs like search queries and content data, with outputs like video information and comment responses. It is ideal for use cases requiring automated Bilibili interactions, like social media management or content creation.

Canonical page: https://skillsregistry.net/skills/77rickliu-bilibili-mcp  
JSON: https://api.skillsregistry.net/v1/skills/77rickliu-bilibili-mcp

## Description

An MCP server for interacting with Bilibili, enabling AI assistants to search videos, fetch comments and subtitles, publish content, and manage interactions. It also adds private message reading, stable TV login, and an automated comment workflow requiring human confirmation.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/flsfjp1vy0)
- **Repository:** <https://github.com/77rickliu/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": "77rickliu-bilibili-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/77rickliu-bilibili-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/77rickliu-bilibili-mcp/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