---
title: "Webinar | Agentic GIS: Turning CARTO Workflows into MCP Tools"
description: Join us in this webinar to learn the end-to-end process of developing, training, and deploying CARTO AI Agents. We'll show you how to turn CARTO Workflows into AI-powered tools, allowing stakeholders to ask questions in natural language and solve sophisticated spatial problems with agent-driven decisions.
image: https://go.carto.com/hubfs/Webinar_Agentic%20GIS%20Turning%20CARTO%20Workflows%20into%20MCP%20Tools-2.png
---

<https://carto.com>

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RECORDED WEBINAR

![CARTO white-Oct-24-2025-01-06-03-3812-PM](https://go.carto.com/hubfs/CARTO%20white-Oct-24-2025-01-06-03-3812-PM.svg)

**Agentic GIS: Turning CARTO Workflows into MCP Tools**

![](https://go.carto.com/hubfs/Ana_Manzanares_CARTO.jpg)

###### Ana Manzanares

Senior Product Manager at CARTO

![](https://go.carto.com/hubfs/Ernesto%20Martinez%20Becerra.jpg)

###### Ernesto Martínez Becerra

Principal Product Manager at CARTO

Join us in this webinar to learn the end-to-end process of developing, training, and deploying CARTO AI Agents. We'll show you how to turn CARTO Workflows into AI-powered tools, allowing stakeholders to ask questions in natural language and solve sophisticated spatial problems with agent-driven decisions.

 

What you'll learn:

 

Workflow-to-Tool Creation: Convert analytical CARTO Workflows into robust, external AI-callable services (MCP Tools) that handle complex spatial operations, including asynchronous data processing and optimization strategies.

 

Agent Configuration and Training: Set up and train CARTO AI Agent, granting it access to your custom MCP Tools and defining its decision-making logic and domain knowledge.

 

Decision Automation & Visualization: Apply this tooling to a real-world use case, demonstrating how the agent executes multi-step analysis and immediately visualizes the complex, analysis-ready results within CARTO Builder.

 

Walk away ready to build and use these tools so users can ask questions in natural language and solve complex spatial problems with agent-driven decisions.

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