AI Agents
CARTO AI Agents provide a powerful conversational interface that allows anyone, regardless of technical expertise, to ask questions in natural language and receive instant, actionable insights. This marks a fundamental shift beyond dashboards to a dynamic, intuitive way of exploring your geospatial data.
With CARTO, you can create and publish powerful geospatial AI Agents tailored to your specific needs. By combining your custom prompt instructions with CARTO's built-in tools and your own MCP tools, you can build trustworthy solutions that make complex geospatial analysis accessible to any user within your organization.
What is an AI Agent?
An AI Agent is a sophisticated system powered by a large language model (LLM) that goes beyond simple chat. It autonomously interacts with your data and a robust set of tools to solve complex geospatial tasks, reasoning through problems to deliver actionable, data-driven insights.
Each agent you create is built from three core components:
Logic (Use Case & Instructions): The agent's "brain" — defining its purpose, behavior, and expertise through clear, structured instructions.
Tools & Capabilities: The agent's "hands" — accessing a powerful suite of built-in geospatial tools and extending skills with your custom MCP tools.
Model (LLM): The agent's "engine" — powering reasoning, language understanding, and decision-making capabilities.
Getting started with AI Agents
This documentation walks you through the complete journey of building and deploying AI Agents:
Learn the basics
Creating your Agent - Set up your agent and understand the interface
Understanding Agent behavior - Learn how agents interpret queries and make decisions
Choosing the right model - Select the optimal LLM for your use case
Build and configure
Defining your Agent logic - Write effective Use Cases and Instructions
Working with tools - Integrate Core Tools and custom MCP Tools
Configuring capabilities - Enable advanced features like Query Sources
Deploy and share
Iterate and refine - Test and improve your agent based on feedback
Sharing your Agent - Publish and distribute to your organization
Reference
Tools Reference - Comprehensive documentation of all available Core Tools
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