# MSSQL

> Use this tool when you need to analyze data in Microsoft SQL Server databases through natural language queries, without requiring direct database access. It executes read-only SQL queries, providing secure and standardized access to database information. Ideal for use cases where data insights are needed, but write operations or direct database modifications are not required.

Canonical page: https://skillsregistry.net/skills/h4ck4life-mssql  
JSON: https://api.skillsregistry.net/v1/skills/h4ck4life-mssql

## Description

MSSQL MCP server enables AI assistants to execute read-only SQL queries against Microsoft SQL Server databases through a standardized interface. Built with TypeScript and FastMCP, it provides secure database access with configurable timeouts, connection pooling, and write operation detection to prevent unauthorized modifications. The implementation is particularly valuable for users who need to analyze data in MSSQL databases through natural language without direct database access.

## Trust

- **Trust score (0–1):** 0.90
- **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/h4ck4life-mssql)
- **Repository:** <https://github.com/h4ck4life/mssql_mcp_server_ts>

## 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": "h4ck4life-mssql"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/h4ck4life-mssql` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/h4ck4life-mssql/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