# QuintaDB

> Use this tool when you need to manage and automate data records without coding, and leverage natural language to streamline processes. QuintaDB solves problems related to data collection, storage, and automation, enabling users to create custom databases, forms, and portals. It accepts natural language inputs and generates AI-driven sites as output, ideal for use cases requiring rapid data management and automation.

Canonical page: https://skillsregistry.net/skills/com-quintadb-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-quintadb-mcp

## Description

No-code databases, forms, portals and AI sites. Manage records and automation via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-06-22

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.quintadb%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://quintadb.com/mcp`

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": "com-quintadb-mcp"
    }
  }
}
```

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