# ai.syntitan/syntitan-mcp

> Use this tool when you need to refine and prepare datasets for AI agents, as it diagnoses, profiles, and improves data quality via natural language interface, solving data preparation and quality control problems. It takes in datasets and outputs refined data, ready for AI model training. Ideal for use cases where high-quality training data is crucial for accurate AI model performance.

Canonical page: https://skillsregistry.net/skills/ai-syntitan-syntitan-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-syntitan-syntitan-mcp

## Description

AI-Ready Data Platform that fills the missing layer between data management and AI execution.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.syntitan%2Fsyntitan-mcp)
- **Repository:** <https://github.com/cubigcorp/syntitan-mcp>

## Use it

MCP endpoint published by the skill: `https://mcp.syntitan.ai/mcp`

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": "ai-syntitan-syntitan-mcp"
    }
  }
}
```

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