# ai-training-data-quality-mcp

> ai-training-data-quality-mcp — apifyforge-ai-training-data-quality-mcp. Use this tool when you need to assess and improve the quality of your AI training data, detecting biases and ensuring governance compliance. It integrates with 7 specialized data sources, providing comprehensive evaluation and scoring through a single always-on server. Ideal for AI model development and deployment, this tool ensures reliable and trustworthy training data.

Canonical page: https://skillsregistry.net/skills/apifyforge-ai-training-data-quality-mcp  
JSON: https://api.skillsregistry.net/v1/skills/apifyforge-ai-training-data-quality-mcp

## Description

AI training data quality assessment, bias detection, and governance scoring — delivered to any MCP-compatible AI agent through a single always-on server. This server orchestrates 7 specialized data sources (dataset registries, GitHub, ArXiv, Semantic Scholar, Hacker News, Wikipedia, and Data.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/apifyforge/ai-training-data-quality-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": "apifyforge-ai-training-data-quality-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/apifyforge-ai-training-data-quality-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/apifyforge-ai-training-data-quality-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