- DATA
- STATUS
- LOGS
- HUMAN
Short answer
How can I turn satellite imagery into vector data using AI?
You tell your AI what imagery to process, and it triggers Mapflow to run geospatial models that extract features like building footprints or road networks. You'll get structured vector files ready for your GIS software.
The results of your request.
Where your data lands.
Depending on what you ask, your AI will produce one of these outcomes.
DATA
Structured vector files
The AI pulls the final processed geometry from Mapflow. You get clean polygons, lines, or points based on the imagery provided.
STATUS
Real-time job tracking
If the extraction is still running, your AI monitors the progress. It tells you exactly where the processing stands.
LOGS
Processing history
Your AI can check on previous jobs to see if they finished or failed. This keeps your geospatial workflows organized.
HUMAN
Manual geometry review
The AI provides the data, but you decide if the extracted vectors meet your accuracy needs. You remain the final judge of the spatial quality.
The workflow
What your AI does when imagery arrives.
Your AI acts as the bridge between your natural language instructions and Mapflow's geospatial engines.
Initiate extraction
Your AI sends the imagery source and the specific feature type you want to extract to Mapflow.
create_processingMonitor progress
Since geospatial processing takes time, your AI periodically checks if the model has finished the task.
get_processing_statusFetch results
Once the job is done, your AI grabs the resulting vector data for you to use.
get_processing_resultVerify completion
The AI uses the status tool to ensure the data is ready before attempting to download it.
get_processing_status
Try it
Copy these to start.
Use these prompts to kick off your first extraction task.
Starting points
These are opening lines. Swap out the bracketed text with your specific imagery URLs or feature types like 'building footprints'.
Mapflow Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_l4KjwMHaReJ28L5cGvUm98OyOy57ztCjH9NnyQwU/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Mapflow capabilities are ready to use.
{
"mcpServers": {
"mapflow-mcp": {
"url": "https://edge.vinkius.com/vk_preview_l4KjwMHaReJ28L5cGvUm98OyOy57ztCjH9NnyQwU/mcp"
}
}
}Extract building footprints from this imagery: [URL]
Start a new processing job for road networks using this drone image: [URL]
Check the status of my last Mapflow extraction job.
Get the vector results for the processing job I just started.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Mapflow once, then ask.
Just click the link to connect your account. Your credentials stay encrypted, and you can immediately start talking to Mapflow through your AI client.
Connect Mapflow to your AIFAQ
How the Mapflow Connector behaves.
- 01
Can the AI edit the original satellite imagery?
No. The AI only triggers processes to extract data from the imagery; it cannot modify the source files.
- 02
Does the AI handle the actual image processing?
No. The AI tells Mapflow to run the models, but the heavy computational work happens on Mapflow's side.
- 03
Can I ask the AI to download the files directly to my desktop?
No. The AI retrieves the processing results, but you must handle the final file download or transfer to your local storage.
- 04
How does the AI know when the vectorization is finished?
The AI uses the status tool to poll Mapflow until the job state changes to completed.
- 05
Can I use this to create new imagery?
No. This tool is for extracting vector data from existing imagery, not for generating or synthesizing new images.
More questions about Mapflow? See everything the Mapflow Connector can do
Connect Mapflow to Claude, Cursor, ChatGPT & more
