# MCP SQL Server

> Use this tool when you need to integrate Microsoft SQL Server with AI-powered querying and analysis, enabling you to monitor and optimize database performance through natural language commands. It solves problems such as complex database querying and performance analysis, providing outputs like query results and database insights. Ideal for use cases where users require intuitive and efficient database management and analysis.

Canonical page: https://skillsregistry.net/skills/fabriciofs-mcp-postgres  
JSON: https://api.skillsregistry.net/v1/skills/fabriciofs-mcp-postgres

## Description

An MCP server for Microsoft SQL Server integration that enables users to query, monitor, and analyze databases directly through Claude. It supports schema exploration, performance analysis, and optional write operations via natural language commands.

## Trust

- **Trust score (0–1):** 0.69
- **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:** [Glama](https://glama.ai/mcp/servers/r9np5qj08p)
- **Repository:** <https://github.com/fabriciofs/mcp-postgres>

## 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": "fabriciofs-mcp-postgres"
    }
  }
}
```

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