Verbinden Sie Apache Superset mit ChatGPT, Claude und Gemini

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Apache Superset Connector

Alles bereit. Wählen Sie Ihren MCP-Client und folgen Sie den Einrichtungsschritten.

Connector-Linkhttps://edge.vinkius.com/vk_preview_gwYe1NYA9B8gFp8lQ7hoG8Zq04EdrBNzR1eq1ypu/mcpKopieren

Claude Desktop

Folgen Sie den Schritten unten, um sich in Sekunden zu verbinden.

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Apache Superset capabilities are ready to use.

Konfiguration · claude_desktop_config.jsonKopieren

{
  "mcpServers": {
    "apache-superset-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_gwYe1NYA9B8gFp8lQ7hoG8Zq04EdrBNzR1eq1ypu/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

Schritt-für-Schritt-Anleitungen für jeden Client finden Sie im Guide. Verbinden

Geführte Einrichtung für Claude? Apache Superset in Claude und anderen KI-Tools einrichten

Alle KI-Clients ansehen, mit denen dieser Connector funktioniert ↑

• 01

  Datenanalysten & -wissenschaftler

  Beschleunigen Sie die Abfragekomposition und extrahieren Sie Datensatzkontexte, um komplexe SQL-Prüfungen nativ mithilfe Ihres KI-Assistenten zu formulieren.

• 02

  Produktmanagement-Teams

  Überprüfen Sie Dashboard-Parameter und inspizieren Sie Metrikenwechsel nahtlos über konversationelle Schnittstellen wie Slack oder CLI, ohne die BI-Navigation lernen zu müssen.

• 03

  Data Engineering Leads

  Auditieren Sie Betriebsberichte und testen Sie semantische Datensätze, um Anomalien zu isolieren und die Nutzung exakter Tabellen sicher zu prüfen.

• 01

  Does this MCP let me see the underlying database structure?

  Yes. You can use the list_databases capability to see all connected data sources, and then use list_datasets to inventory the specific tables available for analysis.

• 02

  Is this just a dashboard viewer, or can I run custom code?

  It's much more than a viewer. You can run raw SQL queries using execute_sql_query. This lets you perform ad-hoc data investigations that aren't covered by existing dashboards.

• 03

  What kind of data can I query?

  The data depends on what's connected to your Superset instance. You first need to use the capabilities to list available databases and datasets to know what's there.

• 04

  Do I need to be a developer to use this?

  No. You just need to know what data you're looking for. You can ask your agent to audit the system, and then ask it to run the query for you.

• 05

  Can the AI query databases connected to Superset, such as Presto or Redshift?

  Yes. The execute_sql_query capability runs queries through Superset's SQL Lab API, which routes them to whichever database engine you have configured. Presto, Redshift, PostgreSQL, and others.

• 06

  Are dashboard access permissions enforced when using the MCP server?

  Yes. All requests are authenticated with your SUPERSET_ACCESS_TOKEN, so only the dashboards, charts, and datasets your token has access to will be visible to the AI.

• 07

  Can the AI run write queries (INSERT, UPDATE, DELETE) via SQL Lab?

  It depends on your Superset database connection settings. By default, SQL Lab connections are read-only. Write access must be explicitly enabled per database in the Superset admin panel.

• 

  Metabase (Business Intelligence & Analytics) KI-Connector

  Manage your BI environment via Metabase — list dashboards, retrieve visual questions (cards), and search data

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• 

  Looker (Business Intelligence & Data) KI-Connector

  Manage your BI environment via Looker — list dashboards, execute inline queries, and audit saved Looks.

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• 

  Mode (Collaborative Data Platform) KI-Connector

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• 

  data.world KI-Connector

  Equip your AI agent to discover and manage data assets, projects, and queries directly via the data.world API.

  Ansehen

Vorschläge

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