# MCP Apache Superset

> Use this tool when you need to connect Large Language Model (LLM) clients to Apache Superset for data analysis and visualization. It solves problems related to querying and exploring data from various sources, including charts, dashboards, datasets, and databases. By providing a interface for executing SQL queries, it enables users to retrieve and analyze data, making it ideal for use cases that require data-driven insights and decision-making.

Canonical page: https://skillsregistry.net/skills/dguerrar-mcp-apache-superset  
JSON: https://api.skillsregistry.net/v1/skills/dguerrar-mcp-apache-superset

## Description

Connects LLM clients to Apache Superset for querying charts, dashboards, datasets, databases, and executing SQL.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m93ninlry7)
- **Repository:** <https://github.com/dguerrar/mcp-apache-superset>

## 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": "dguerrar-mcp-apache-superset"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dguerrar-mcp-apache-superset` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dguerrar-mcp-apache-superset/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