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Vinkius

CARTO MCP Server for Cline 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools IDE

Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire CARTO through Vinkius and Cline gains direct access to every tool. from data retrieval to workflow automation. without leaving the terminal.

Vinkius supports streamable HTTP and SSE.

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Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install CARTO and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json
{
  "mcpServers": {
    "carto": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
CARTO
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About 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.

Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including CARTO tool calls without waiting for prompts between steps. Connect 10 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.

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.

The CARTO MCP Server exposes 10 tools through the Vinkius. Connect it to Cline in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect CARTO to Cline via MCP

Follow these steps to integrate the CARTO MCP Server with Cline.

01

Open Cline MCP Settings

Click the MCP Servers icon in the Cline sidebar panel

02

Add remote server

Click "Add MCP Server" and paste the configuration above

03

Enable the server

Toggle the server switch to ON

04

Start using CARTO

Ask Cline: "Using CARTO, help me...". 10 tools available

Why Use Cline with the CARTO MCP Server

Cline provides unique advantages when paired with CARTO through the Model Context Protocol.

01

Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts

02

Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window

03

Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation

04

Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing

CARTO + Cline Use Cases

Practical scenarios where Cline combined with the CARTO MCP Server delivers measurable value.

01

Autonomous feature building: tell Cline to fetch data from CARTO and scaffold a complete module with types, handlers, and tests

02

Codebase refactoring: use CARTO tools to validate live data while Cline restructures your code to match updated schemas

03

Automated testing: Cline fetches real responses from CARTO and generates snapshot tests or mocks based on actual payloads

04

Incident response: query CARTO for real-time status and let Cline generate hotfix patches based on the findings

CARTO MCP Tools for Cline (10)

These 10 tools become available when you connect CARTO to Cline via MCP:

01

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

02

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

03

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

04

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

05

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

06

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

07

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

08

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

09

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

10

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

Example Prompts for CARTO in Cline

Ready-to-use prompts you can give your Cline agent to start working with CARTO immediately.

01

"Execute a SQL query limiting to 10 rows on my 'retail_stores' dataset to check the schema."

02

"Take these 5 addresses in Madrid and bulk geocode them to lat/lon coordinates."

03

"Generate a 15-minute drive-time isoline around Times Square, New York."

Troubleshooting CARTO MCP Server with Cline

Common issues when connecting CARTO to Cline through the Vinkius, and how to resolve them.

01

Server shows error in sidebar

Click the server name to see logs. Verify the URL and token are correct.

CARTO + Cline FAQ

Common questions about integrating CARTO MCP Server with Cline.

01

How does Cline connect to MCP servers?

Cline reads MCP server configurations from its settings panel in VS Code. Add the server URL and Cline discovers all available tools on initialization.
02

Can Cline run MCP tools without approval?

By default, Cline asks for confirmation before executing tool calls. You can configure auto-approval rules for trusted servers in the settings.
03

Does Cline support multiple MCP servers at once?

Yes. Configure as many servers as needed. Cline can use tools from different servers within the same autonomous task execution.

Connect CARTO to Cline

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.