# Superset MCP

> Use this tool when you need to manage and query Apache Superset dashboard metadata using natural language, solving problems related to data lineage, user activity, and change tracking. It provides an interface for querying and retrieving metadata, allowing for efficient tracking and analysis of dashboard changes and user interactions. Ideal for data engineers and analysts seeking to streamline their workflow and gain insights into Superset dashboard usage.

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

## Description

Enables natural language querying and management of Apache Superset dashboard metadata, including user activity, data lineage, and change tracking.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xpqis61m8d)
- **Repository:** <https://github.com/ponderedw/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": "ponderedw-superset-mcp"
    }
  }
}
```

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