# MCP DB Server

> Use this tool when you need to access and retrieve data from databases using natural language queries, enabling AI agents to execute SQL queries and perform read-only operations with automatic schema discovery and safety checks. It solves problems of complex database querying and integration, providing a simple and secure interface for AI agents to interact with databases. Ideal for use cases requiring dynamic data retrieval and analysis, with inputs of natural language queries and outputs of relevant data results.

Canonical page: https://skillsregistry.net/skills/sharpdogs-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/sharpdogs-mcp-server

## Description

Enables AI agents to query databases via natural language using the Model Context Protocol, with automatic schema discovery, SQL query execution, and read-only safety checks.

## Trust

- **Trust score (0–1):** 0.97
- **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:** [Glama](https://glama.ai/mcp/servers/csvilrkou9)
- **Repository:** <https://github.com/sharpdogs/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": "sharpdogs-mcp-server"
    }
  }
}
```

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