# SQL Server (Windows)

> Use this tool when you need to access and query SQL Server databases using natural language, and explore schema relationships while ensuring secure and optimized performance. It solves problems related to data exploration, relationship mapping, and secure query execution, and accepts natural language inputs to produce query results as outputs. Ideal for use cases requiring efficient and secure data analysis, such as data science, business intelligence, and database administration.

Canonical page: https://skillsregistry.net/skills/tharanabope-sql-server  
JSON: https://api.skillsregistry.net/v1/skills/tharanabope-sql-server

## Description

Provides natural language access to SQL Server databases with tools for schema exploration, relationship mapping, and secure read-only query execution. Features schema caching for performance optimization, built-in SQL injection prevention, and support for Windows native authentication and macOS Docker deployments.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tharanabope-sql-server)
- **Repository:** <https://github.com/tharanabope/sql-mcp-mac-windows>

## 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": "tharanabope-sql-server"
    }
  }
}
```

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