# Superset

> Use this tool when you need to leverage data visualization and analytics capabilities to explore data, create visualizations, and manage analytics workflows. It solves problems such as dashboard management, chart creation, and SQL query execution through a secure and authenticated API interface. The tool accepts inputs like SQL queries and dashboard configurations, and outputs include visualizations, query results, and workflow management status.

Canonical page: https://skillsregistry.net/skills/aptro-superset  
JSON: https://api.skillsregistry.net/v1/skills/aptro-superset

## Description

The Superset MCP Integration provides AI assistants with programmatic access to Apache Superset's data visualization and analytics capabilities through a comprehensive set of tools. Built with Python using FastMCP, it enables operations like dashboard management, chart creation, SQL query execution, and database administration via authenticated API calls. The implementation handles token management, automatic refreshing, and proper error handling to maintain secure connections with Superset instances. It's particularly valuable for users who want to leverage AI assistants to explore data, create visualizations, and manage analytics workflows without leaving their conversational interface.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aptro-superset)
- **Repository:** <https://github.com/aptro/superset-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": "aptro-superset"
    }
  }
}
```

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