CARTO for Agents

by Unknown

Not rated
Website

About

Connect AI agents to CARTO, the leading Agentic GIS platform: query governed warehouse data, run spatial analysis, create or edit maps and workflows, and render interactive maps, all without your data leaving your warehouse.

Details

Author
Unknown
Categories
Cloud Service, Other, AI, Infrastructure

For the complete documentation index, seellms.txt. Markdown versions of documentation pages are available by appending.mdto page URLs; this page is available asMarkdown.

- Overview
-
CARTO CLI
-
Installation
-
Authentication & profiles
-
Configuration
-
Command reference
-
auth
-
credentials
-
maps
-
workflows
-
projects
-
connections
-
named-sources
-
do (Data Observatory)
-
import
-
export
-
transfer
-
sql
-
org
-
users
-
activity
-
admin
-
ai
-
Examples
-
Release notes
-
CARTO MCP Server
-
Connecting with OAuth
-
Connecting with API Access Tokens
-
MCP Tools Reference
-
Platform tools
-
Interactive tools
-
Workflows tools
-
CARTO Agent Skills
-
Installation
-
Skills catalog

This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with theaskquery parameter, and the optionalgoalquery parameter:

GET https://docs.carto.com/carto-for-agents.md?ask=<question>&goal=<endgoal>

askis the immediate question: it should be specific, self-contained, and written in natural language.goalis optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.

A high-performance MCP server providing structured, real-time price data for AI hardware across global marketplaces, built with a focus on agent-native discovery over hardcoded endpoints.

DC Hub — Data Center Intelligence MCP Server

Data center intelligence MCP server — search 20,000+ facilities across 140+ countries, score sites for power/fiber/risk, track $51B+ in M&A deals, monitor real-time grid fuel mix, and access 79,755 substations + 37K gas pipelines. 15 tools via Streamable HTTP. Free tier included.

A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the DataWorks Open API through a standardized interface. This implementation is based on the Aliyun Open API and enables AI agents to perform cloud resources operations seamlessly.

Realtime and Historical Exchange Rate Data, FX pairs, bid/ask, OHLC and Crypto prices

An MCP Server that connects to Gemini Cloud Assist APIs, enabling you to manage and troubleshoot your Google Cloud environment using natural language.

Manage research data and compute with Globus.

Interact with the RAD Security platform which provides AI-powered security insights for Kubernetes and cloud environments.

Interact with the Alpaca trading API for stock trading, account management, and market data using LLMs.

Interact with Alpaca's market data and brokerage services via its API.

Provides real-time financial market data using the Alpha Vantage API.

No reviews yet — be the first

Sign in to leave a review

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.