# Bilibili Comments MCP

> Use this tool when you need to retrieve and parse comments from Bilibili videos and dynamic posts, solving data collection and analysis problems for social media and content research use cases. It accepts video or post IDs as input and outputs comments in Markdown and JSON formats, supporting pagination, sorting, and nested replies. Ideal for social media monitoring, content analysis, and data mining applications.

Canonical page: https://skillsregistry.net/skills/222wcnm-bilibili-comments-mcp  
JSON: https://api.skillsregistry.net/v1/skills/222wcnm-bilibili-comments-mcp

## Description

Enables retrieval of comments from Bilibili videos and dynamic posts with support for pagination, sorting, and nested replies in both Markdown and JSON formats.

## Trust

- **Trust score (0–1):** 0.90
- **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:** [Glama](https://glama.ai/mcp/servers/o5erz24xp8)
- **Repository:** <https://github.com/222wcnm/Bilibili-Comments-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": "222wcnm-bilibili-comments-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/222wcnm-bilibili-comments-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/222wcnm-bilibili-comments-mcp/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