Mcp Superset

Created By
bintocher3 months ago
Full-featured MCP server for Apache Superset with 135+ tools for dashboards, charts, datasets, SQL Lab, security, and more
Overview

Overview

The most comprehensive MCP server for Apache Superset — 135+ tools covering full platform management.

Features

  • Dashboards (15 tools) — CRUD, copy, publish/unpublish, native filters, export/import, embedded

  • Charts (11 tools) — CRUD, copy, data retrieval, cache warmup, export/import

  • Databases (18 tools) — CRUD, schemas, tables, metadata, validation, connection testing

  • Datasets (11 tools) — CRUD, refresh schema, duplicate, export/import

  • SQL Lab (5 tools) — execute, format SQL, results, cost estimation, CSV export

  • Security (22 tools) — users, roles, permissions, RLS (Row Level Security), groups, dashboard access grant/revoke

  • Audit — permissions matrix (user × dashboards × datasets × RLS)

  • System (21 tools) — reports, annotations, tags, logs, assets export/import

Safety

30+ built-in validations: confirmation flags for destructive operations, DDL/DML blocking in SQL Lab, automatic datasource_access synchronization.

Transports

Supports Streamable HTTP, SSE, and stdio.

Install

pip install mcp-superset

uvx mcp-superset

Server Config

{
  "mcpServers": {
    "superset-stdio": {
      "command": "uvx",
      "args": [
        "mcp-superset",
        "--transport",
        "stdio"
      ],
      "env": {
        "SUPERSET_BASE_URL": "https://your-superset-instance.com",
        "SUPERSET_USERNAME": "admin",
        "SUPERSET_PASSWORD": "<YOUR_PASSWORD>"
      }
    },
    "superset-http": {
      "type": "http",
      "url": "http://localhost:8001/mcp"
    },
    "superset-sse": {
      "type": "sse",
      "url": "http://localhost:8001/sse"
    }
  }
}
Project Info
Created At
3 months ago
Updated At
3 months ago
Author Name
bintocher
Star
-
Language
-
License
-
Category

Recommend Servers

View All
Lorg Ai
@LorgAI

35 minutes ago
Puter Mcp

3 hours ago
Thiri Chord Intelligence
@BluesPrince

### Deterministic Music Theory for Claude, Cursor, and Autonomous AI Agents Large Language Models (LLMs) frequently hallucinate music theory, leading to incorrect notes, false Roman numerals, and broken voice leading. **THIRI** solves this by providing a deterministic, mathematical music-theory engine (pitch-class-set theory over ℤ/12) directly to your AI. It gives AI assistants precise, reproducible harmonic reasoning in milliseconds, allowing them to write correct musical scores, analyze progressions, and generate playable arrangements. #### 🎷 Key Features: * **Chord Analysis (`analyze_chord`):** Parse any symbol (e.g., `Cmaj7/E`, `G7#11`) to retrieve root, quality, intervals, Roman numerals, and diatonic or chromatic harmonic functions. * **Note Resolution (`resolve_chord`):** Resolve chord symbols to spelled notes (enharmonically correct), frequencies (Hz), MIDI numbers, and scale recommendations. * **Voicing Engine (`generate_voicing`):** Generate instrument-ready voicings (rootless, shell, triad, pad, drop-2, drop-3) and calculate voice-leading scores for transitions. * **Reharmonization (`reharmonize`):** Substitute progressions using classic jazz techniques, including Tritone Substitution, ii-V Insertion, Modal Interchange, Coltrane Changes, and Backdoor cadences. *Ideal for developers building AI music assistants, digital audio workstation (DAW) agents, educational theory tools, and automated composition workflows.*

17 hours ago
Juhedeepsearch

4 hours ago
Tavily Mcp
@tavily-ai

JavaScript
a year ago
Achivx Forum

8 hours ago
Puter Mcp

3 hours ago
Llmtomd

an hour ago