# MCP SQL Server Data Warehouse Connector

> Use this tool when you need to interact with SQL Server Data Warehouses using natural language, enabling automatic schema discovery and report generation while ensuring secure read-only access. It solves problems related to data analysis and reporting by providing a secure and intuitive interface for querying data warehouses. The connector takes natural language inputs and outputs generated reports, making it ideal for use cases where data insights are needed quickly and securely.

Canonical page: https://skillsregistry.net/skills/josuedotcom-mcp-sql-server-dw  
JSON: https://api.skillsregistry.net/v1/skills/josuedotcom-mcp-sql-server-dw

## Description

Enables AI assistants to interact with SQL Server Data Warehouses using natural language for automatic schema discovery and report generation. It ensures security by restricting operations to read-only SELECT queries through both code validation and database permissions.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q2et40ab73)
- **Repository:** <https://github.com/Josuedotcom/mcp-sql-server-dw>

## 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": "josuedotcom-mcp-sql-server-dw"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/josuedotcom-mcp-sql-server-dw` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/josuedotcom-mcp-sql-server-dw/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