# QQ Channel Data Collector

> Use this tool when you need to collect and filter large amounts of public QQ channel data, such as posts, comments, and images, to analyze trends, opinions, or sentiment. It solves problems related to social media monitoring, content analysis, and data mining by providing automated data collection and AI-powered filtering capabilities. The tool accepts natural language criteria as input and outputs structured data in JSON/CSV formats for further analysis.

Canonical page: https://skillsregistry.net/skills/git-guocc-qqchannelmcp  
JSON: https://api.skillsregistry.net/v1/skills/git-guocc-qqchannelmcp

## Description

Enables automated collection and AI-powered filtering of public QQ channel posts, comments, and images. Supports natural language criteria for content filtering and provides structured data storage in JSON/CSV formats.

## Trust

- **Trust score (0–1):** 0.94
- **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:** [Glama](https://glama.ai/mcp/servers/ge7kulgmz5)
- **Repository:** <https://github.com/git-guocc/QQChannelMCP>

## 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": "git-guocc-qqchannelmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/git-guocc-qqchannelmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/git-guocc-qqchannelmcp/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