# Apache Superset

> Use this tool when you need to interact with data visualization dashboards and analyze data without context switching. Apache Superset enables AI assistants to query, analyze, and visualize data through a TypeScript-based bridge, providing a modular architecture for flexible deployment options. It accepts data queries as input and outputs visualized data insights, ideal for use cases requiring data-driven decision making and real-time analytics.

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

## Description

Superset-MCP-Server provides a TypeScript-based bridge between AI assistants and Apache Superset, enabling direct interaction with data visualization dashboards through the Model Context Protocol. The implementation leverages the MCP SDK to expose Superset's API functionality, allowing assistants to query, analyze, and visualize data without context switching. Built with a modular architecture that separates API services from HTTP utilities, it includes example code to demonstrate integration patterns and supports environment-based configuration for flexible deployment options.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/liuscraft-superset)
- **Repository:** <https://github.com/liuscraft/superset-mcp-server>

## 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": "liuscraft-superset"
    }
  }
}
```

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