# MCP MariaDB Server

> Use this tool when you need to interact with MariaDB databases using SQL operations or semantic search, to solve data retrieval and storage problems. It supports standard database queries, schema inspection, and document storage and retrieval, accepting SQL queries and vector-based search inputs and returning relevant data outputs. Ideal for use cases requiring efficient data management and retrieval in MariaDB databases.

Canonical page: https://skillsregistry.net/skills/quintana1308-mcpmariadb  
JSON: https://api.skillsregistry.net/v1/skills/quintana1308-mcpmariadb

## Description

Enables AI assistants to interact with MariaDB databases through SQL operations and vector-based semantic search. Supports standard database queries, schema inspection, and optional embedding-powered document storage and retrieval.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l5gfq70qd2)
- **Repository:** <https://github.com/quintana1308/mcpMariaDB>

## 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": "quintana1308-mcpmariadb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/quintana1308-mcpmariadb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/quintana1308-mcpmariadb/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