# aifordatabase-mcp

> aifordatabase-mcp — dann26parr69-aifordatabase-mcp. Use this tool when you need to access and query databases using natural language, as it translates plain-English questions into SQL queries and provides read-only results, making it ideal for retrieving data and setting up scheduled alerts. It solves problems related to database accessibility and complexity, allowing AI agents to interact with databases in a safe and user-friendly way. The tool accepts natural language inputs and outputs SQL queries and results, making it suitable for use cases where database querying is necessary but technical expertise is limited.

Canonical page: https://skillsregistry.net/skills/dann26parr69-aifordatabase-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dann26parr69-aifordatabase-mcp

## Description

Give your AI agent safe, plain-English access to any database via MCP. Ask questions in natural language, get SQL queries and results, run read-only queries, and set up scheduled alerts.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lmvgh6okw1)
- **Repository:** <https://github.com/dann26parr69/aifordatabase-mcp>

## 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": "dann26parr69-aifordatabase-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dann26parr69-aifordatabase-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dann26parr69-aifordatabase-mcp/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