# Amharic Dataset MCP

> Use this tool when you need to collect and enhance authentic Amharic datasets for AI model training, such as Gemini and Qwen, to improve their performance on Amharic language tasks. It solves problems of data scarcity and quality, providing a reliable interface for dataset input and quality-scored output. Ideal for use cases requiring accurate Amharic language understanding and processing.

Canonical page: https://skillsregistry.net/skills/yosef-ali-amharic-dataset-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yosef-ali-amharic-dataset-mcp

## Description

Enables collection, enhancement, and quality scoring of authentic Amharic datasets, with integration for AI models like Gemini and Qwen.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q9uxhohgro)
- **Repository:** <https://github.com/Yosef-Ali/amharic-dataset-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": "yosef-ali-amharic-dataset-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yosef-ali-amharic-dataset-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yosef-ali-amharic-dataset-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