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Vinkius
Pydantic AISDK
Pydantic AI
Why use CARTO MCP Server with Pydantic AI?

Bring Spatial Analytics
to Pydantic AI

Create your Vinkius account to connect CARTO to Pydantic AI and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Calculate IsolineCalculate RouteCreate Async Sql JobExecute Sql QueryGeocode AddressGeocode Batch AddressesGet Import StatusImport External FileList Map DatasetsPoll Async Job Status
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
CARTO

What is the CARTO MCP Server?

Connect your CARTO platform to any AI agent and take full control of your cloud-native spatial analytics without touching the GIS interface.

What you can do

  • Spatial SQL & Jobs — Command explicit SQL queries running directly against your BigQuery, Snowflake, or Redshift warehouse. Execute quick reads or spawn long-running, asynchronous batch transformations.
  • Geocoding & Batching — Convert unstructured strings into precise lat/lon points. Bulk-process 100s of addresses using CARTO's native Location Data Services (LDS) gracefully.
  • Isolines & Reachability — Calculate travel-time or distance polygons around origin points to instantly graph accessible zones via cars or walking.
  • Routing — Generate optimal vector geometry paths connecting two points on the globe, measuring both physical distance and travel time securely.
  • Data Management — Instruct your agent to list active mapping datasets or import massive external CSV/GeoJSON files directly via public URLs.

How it works

  1. Subscribe to this server
  2. Provide your active CARTO Organization and API Key
  3. Start mapping, slicing spatial boundaries, and scripting data operations using Claude, Cursor, or any compatible AI

Who is this for?

  • GIS Analysts & Data Scientists — Execute testing queries natively and bulk-geocode customer coordinates from a conversational terminal.
  • Retail & Logistics Strategists — Ask your AI to calculate 15-minute delivery isolines and cross-reference them with population layers using SQL.
  • Data Engineers — Trigger raw data imports and handle heavy dataset syncs without opening the graphical workspace.

Built-in capabilities (10)

calculate_isoline

The range parameter is in seconds for time-based isolines. Returns a GeoJSON polygon representing the reachable area. Use for service area analysis, store catchment zones, and logistics planning. Generate travel-time or travel-distance isoline polygons from a center point using the CARTO LDS Isolines API, producing reachability contours showing areas accessible within a specified time or distance threshold

calculate_route

Returns the route as GeoJSON with total distance (meters) and duration (seconds). Consumes LDS routing credits. Calculate the optimal driving route between two points using the CARTO LDS Routing API, returning distance, duration, and route geometry suitable for visualization on CARTO maps

create_async_sql_job

"}`. Returns a job_id that can be polled for completion status. Use for ETL operations, materialized view refreshes, and heavy geospatial computations. The job runs in your data warehouse and results are stored there. Submit a long-running SQL query as an asynchronous batch job via the CARTO SQL Job API, suitable for heavy spatial analytics, large table transformations, and complex multi-join operations that exceed the 60-second synchronous timeout

execute_sql_query

carto.com/api/v2/sql?q=`. The query runs synchronously with a 1-minute timeout. Use for quick analytical queries, spatial joins, and data exploration. For long-running queries exceeding 60 seconds, use the async job endpoint instead. Supports PostGIS/BigQuery spatial functions natively. Execute an arbitrary SQL query against your CARTO data warehouse connection using the SQL API v2, returning results as JSON rows directly from BigQuery, Snowflake, Redshift, or PostgreSQL

geocode_address

Returns latitude, longitude, and formatted address. Consumes LDS geocoding credits from your CARTO plan. Use sparingly for individual lookups; for bulk operations use the batch endpoint instead. Forward-geocode a single address string into geographic coordinates using the CARTO Location Data Services (LDS) geocoding endpoint, powered by TomTom or HERE depending on your CARTO plan configuration

geocode_batch_addresses

Designed for bulk processing of customer lists, store locators, and CRM datasets. Consumes LDS credits per address. Returns an array of geocoded results with match quality indicators. Batch-geocode multiple addresses in a single request using the CARTO LDS batch geocoding API, efficiently converting large address lists into coordinates without making individual API calls per address

get_import_status

Poll periodically until state becomes "complete" or "failure". On success, the response includes the table_name of the newly created dataset in your warehouse. Check the status of a previously initiated CARTO data import job, returning progress percentage, current state (uploading, importing, complete, failure), and any error details if the import encountered issues

import_external_file

"}`. Supports CSV, GeoJSON, Shapefile (zipped), KML, GPX, and Excel files. Returns an import_id for status tracking. The file is downloaded, parsed, and loaded into your connected data warehouse. Import an external data file (CSV, GeoJSON, Shapefile, KML) into your CARTO data warehouse by providing a publicly accessible URL, creating a new managed table that can be used for spatial analysis and visualization

list_map_datasets

Returns an array of dataset/visualization objects. Use to discover available data layers, check dataset freshness, and audit organization assets. List all visualization datasets (maps and tables) available in your CARTO organization, returning metadata including creation dates, privacy settings, table names, and row counts

poll_async_job_status

Poll periodically (every 5-10 seconds) until status changes to "done" or "failed". The response includes created_at, updated_at, and the original query for audit purposes. Check the execution status of a previously submitted CARTO async SQL job, returning the current state (pending, running, done, failed) and any error messages if the job encountered issues

Why Pydantic AI?

Pydantic AI validates every CARTO tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

  • Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

  • Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your CARTO integration code

  • Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

  • Dependency injection system cleanly separates your CARTO connection logic from agent behavior for testable, maintainable code

P
See it in action

CARTO in Pydantic AI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run CARTO with Vinkius?

The CARTO connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

View full CARTO details →
CARTO
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect CARTO using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

CARTO and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect CARTO to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures CARTO for Pydantic AI

Every request between Pydantic AI and CARTO is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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 tool. CARTO’s native LDS engine (powered by TomTom/HERE) returns the validated geo-coordinates for each row, avoiding manual CSV matching.

03

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

Absolutely. The agent uses the calculate_isoline tool 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.

04

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

05

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

06

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your CARTO MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

07

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

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