# ai.matih/mcp

> ai.matih/mcp — ai-matih-mcp. Use this tool when you need to manage and govern large datasets for Large Language Models (LLMs), providing a grounded data layer with features like governed SQL, metrics, and data lineage. It solves problems related to data organization, tracking, and analysis, enabling efficient data-driven decision making. Ideal for use cases requiring robust data management and cataloging, with inputs including raw data and outputs featuring actionable insights and metrics.

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

## Description

The grounded data layer for any LLM: governed SQL, metrics, lineage and catalog over your data.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.2.1
- **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.matih%2Fmcp)
- **Repository:** <https://github.com/matih-labs/matih-mcp>

## Use it

MCP endpoint published by the skill: `https://mcp.matih.ai/api/v1/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-matih-mcp"
    }
  }
}
```

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