# SQL Server

> Use this tool when you need to interact with Microsoft SQL Server databases using natural language, enabling efficient querying and data manipulation. It solves problems for database administrators and analysts by providing a conversational interface for executing SQL queries, listing tables, and managing database operations. With comprehensive error handling and Windows authentication security, it is ideal for use cases requiring secure and seamless database interaction through AI assistants.

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

## Description

SQL MCP Server provides a bridge between AI assistants and Microsoft SQL Server databases, enabling natural language interaction for querying and manipulating data. Built with FastMCP and pyodbc, it exposes tools for executing SQL queries, listing tables, describing schemas, and managing database operations through an asynchronous architecture that prevents blocking. The implementation features comprehensive error handling, Windows authentication security, and is particularly valuable for database administrators and analysts who need to interact with SQL Server through conversational AI.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dennismartis-sql)
- **Repository:** <https://github.com/dennismartis/sql_mcp_server>

## 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": "dennismartis-sql"
    }
  }
}
```

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