Verbinden Sie CARTO mit ChatGPT, Claude und Gemini

• 01 / 03Adressen massenhaft geocodieren
• 02 / 03Service-Gebiete erstellen
• 03 / 03Räumliches SQL ausführen

Schnellster Tag

675ms

Langsamster Tag

1140ms

14-Tage-Trend

Stabil+4%

CARTO Connector

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

Connector-Linkhttps://edge.vinkius.com/vk_preview_6NUh4SJzIYKcgYcjPGz3lmRBTXiut011mCAsyHQM/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 — CARTO capabilities are ready to use.

Konfiguration · claude_desktop_config.jsonKopieren

{
  "mcpServers": {
    "carto-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_6NUh4SJzIYKcgYcjPGz3lmRBTXiut011mCAsyHQM/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? CARTO in Claude und anderen KI-Tools einrichten

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

• 01

  GIS Analysts

  They use the agent to run testing queries and bulk geocode coordinates via a conversational interface.

• 02

  Logistics Strategists

  They ask the agent to calculate delivery isolines and cross-reference them with population data.

• 03

  Data Engineers

  They trigger data imports and manage heavy dataset syncs using the agent's toolset.

• 01

  Which data warehouses are supported?

  This MCP works with BigQuery, Snowflake, Redshift, and PostgreSQL.

• 02

  How do I handle very large SQL queries?

  Use the create_async_sql_job capability. It runs the query in the background and provides a job ID so you can check the status later.

• 03

  Can I import files directly?

  Yes, use the import_external_file capability by providing a public URL for CSV, GeoJSON, Shapefile, KML, GPX, or Excel files.

• 04

  What is the difference between geocode_address and geocode_batch_addresses?

  geocode_address is for looking up a single location, while geocode_batch_addresses is designed for processing large lists of addresses efficiently.

• 05

  How do I know if my data import finished?

  You can use the get_import_status capability to check the progress and see if the state is complete or if an error occurred.

• 06

  Can my AI agent orchestrate heavy spatial analytics on large datasets directly?

  Yes. While small checks use the immediate SQL endpoint, your agent knows how to use the async Job API to submit massive postGIS or BigQuery geospatial operations on millions of rows. It automatically polls the remote status and notifies you once your heavy data transformation is structurally completed.

• 07

  Am I able to geocode raw customer addresses in bulk through the agent?

  Definitely. Give your agent a list of unstructured addresses and it will fire the bulk geocode_batch_addresses capability. CARTO’s native LDS engine (powered by TomTom/HERE) returns the validated geo-coordinates for each row, avoiding manual CSV matching.

• 08

  Can the agent create travel-time polygons (Isolines)?

  Absolutely. The agent uses the calculate_isoline capability passing the desired travel duration and coordinate center. It immediately receives a precise GeoJSON polygon defining the catchment zone or service area, without requiring you to use the map UI.

• 

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• 

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Vorschläge

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• 

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