# MCP Data Analyst

> Use this tool when you need to analyze and extract insights from complex SQL databases using intuitive natural language queries. It solves problems of data accessibility and simplifies querying for non-technical users, supporting various database types and automatic schema discovery. The tool takes natural language inputs and returns relevant data outputs, ideal for use cases where ease of data analysis and rapid insight generation are crucial.

Canonical page: https://skillsregistry.net/skills/donmul-mcp-data-analyst  
JSON: https://api.skillsregistry.net/v1/skills/donmul-mcp-data-analyst

## Description

Enables natural language querying of SQL databases using AI, supporting multiple database types and automatic schema discovery.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uvm363gril)
- **Repository:** <https://github.com/DonMul/MCP-Data-Analyst>

## 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": "donmul-mcp-data-analyst"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/donmul-mcp-data-analyst` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/donmul-mcp-data-analyst/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