An astronaut overseeing a futuristic data hub

Connect Mapflow to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn satellite imagery into actionable vector datasets through conversation.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 7 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through Mapflow.

  1. 01

    Create processing

    This capability starts a new imagery analysis by passing JSON data to the Mapflow engine.

  2. 02

    Create project

    Use this to set up a new mapping project within Mapflow.

  3. 03

    Get processing result

    This capability retrieves the specific data output from a completed imagery analysis.

  4. 04

    Get processing status

    This capability checks whether a specific processing job is still running or has finished.

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Mapflow.

  1. 05

    List processings

    This capability shows a list of all your previous geospatial processing jobs.

  2. 06

    List projects

    This capability returns a list of all your existing Mapflow projects.

  3. 07

    List models

    Use this to see which geospatial AI models are currently available for your tasks.

Real work

What teams actually run

01

Urban Infrastructure Mapping

An urban planner asks the agent to identify all building footprints in a specific city district.

02

Forestry Monitoring

An environmentalist runs a forest cover model to track changes in vegetation patterns over time.

03

Road Network Analysis

A researcher uses the road network model to extract transportation data from satellite imagery.

04

Automated Data Pipelines

A developer uses the agent to trigger imagery processing and retrieve results for a larger application.

Automate a task

Put Mapflow to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Mapflow works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Mapflow to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

825ms average. Fast in production.

Mapflow is checked daily against the live service.

Daily averagePeak 1210ms
Oct 3Today
Fastest day
647ms
Slowest day
1210ms
14-day trend
Improving-8%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Mapflow, so you can see the experience inside your AI.

It does not authenticate your account with Mapflow. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Mapflow Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_l4KjwMHaReJ28L5cGvUm98OyOy57ztCjH9NnyQwU/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Mapflow capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "mapflow-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_l4KjwMHaReJ28L5cGvUm98OyOy57ztCjH9NnyQwU/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Mapflow in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Mapflow owners hand off.

This MCP is built for professionals who need to turn raw imagery into structured data without manual clicking.

  • 01

    GIS Specialists

    They use the agent to automate the extraction of vector data from large imagery sets.

  • 02

    Urban Planners

    They task the AI with mapping infrastructure and building footprints for city analysis.

  • 03

    Environmentalists

    They monitor forest cover and land use changes using automated satellite analysis.

FAQ

Questions Mapflow owners ask.

  • 01

    How do I connect Mapflow to my AI client?

    You subscribe to the Mapflow MCP on Vinkius and enter your Mapflow API Key. Once connected, you can use it immediately in Claude, Cursor, Windsurf, or any compatible client.

  • 02

    What kind of imagery can I process?

    The MCP supports processing for both satellite imagery and drone imagery using various AI models.

  • 03

    Can I get the data in specific formats?

    Yes, once the processing is complete, the agent can access datasets in formats like GeoJSON, Shapefile, and Geopackage.

  • 04

    What can the AI actually detect in the images?

    The available models can detect features such as building footprints, road networks, and forest cover.

  • 05

    Do I need to use the Mapflow website to run tasks?

    No, once the MCP is connected, you can manage projects, trigger models, and check task status through your AI agent using natural language.

  • 06

    Can I process satellite imagery and extract vector data?

    Yes. Trigger AI models on imagery to automatically extract buildings, roads, forests, and other features as vector polygons.

  • 07

    How does Mapflow authentication work?

    Mapflow uses Bearer authentication against api.mapflow.ai/rest using your API Key.

  • 08

    Can I track processing tasks?

    Yes. Monitor processing status, progress percentages, and access completion datasets when ready.

Connect Mapflow to Claude, Cursor, ChatGPT & more