# mcp-superset

> mcp-superset — cryptological-frail210-mcp-superset. Use this tool when you need to integrate and manage machine learning models within data dashboards, extending Apache Superset's capabilities with Model Context Protocol. It solves problems of model management and deployment, allowing for efficient integration with existing data visualization workflows. Inputting machine learning models and outputting interactive dashboards, use mcp-superset in data science and analytics contexts where model-driven insights are crucial.

Canonical page: https://skillsregistry.net/skills/cryptological-frail210-mcp-superset  
JSON: https://api.skillsregistry.net/v1/skills/cryptological-frail210-mcp-superset

## Description

Extend Apache Superset with Model Context Protocol to integrate and manage machine learning models efficiently within data dashboards.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/cryptological-frail210/mcp-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": "cryptological-frail210-mcp-superset"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cryptological-frail210-mcp-superset` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cryptological-frail210-mcp-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