Mapflow Connector for AI agents.
7 live capabilities
Extract building footprints and road networks from satellite imagery.
Waiting for input…
Why people use Mapflow
Mapflow for Automated Satellite Imagery Feature Extraction
This Connector puts those actions into a single chat interface. You tell your agent to start a project, and it handles the API calls to trigger the models and pull the results. You get a direct line from your request to the finished vector data.
What Vinkius changes
That you turn raw satellite imagery into structured vector data using natural language commands.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Urban Expansion Mapping
A planner needs to map all buildings in a new suburb.
- Real-world use case 02
Road Survey Automation
A civil engineer needs to extract roads from drone footage.
- Real-world use case 03
Forest Cover Monitoring
A researcher wants to see how much forest was lost.
Complete set · 7capabilities
The complete Mapflow capability set.
These are the exact actions your AI can choose when you ask it to work with Mapflow.
01—04
4 capabilities in this set.
Part of 7 available through Mapflow.
- 01 Capability
Create processing
Use create_processing to start a new imagery analysis by passing the required data as a JSON string. This lets you trigger AI models on satellite or drone footage instantly.
- 02 Capability
Create project
Use create_project to create a new mapping project to organize your geospatial work. It keeps your different mapping tasks grouped and easy to find.
- 03 Capability
Get processing result
Use get_processing_result to retrieve the final data from a completed imagery analysis job. This gives you the polygons and vectors you need for your map.
- 04 Capability
List models
Use list_models to see which AI models are currently available for different features like roads or trees. This helps you pick the right capability for your specific terrain.
05—07
3 capabilities in this set.
Part of 7 available through Mapflow.
- 05 Capability
Get processing status
Use get_processing_status to check if a specific processing job is still running or finished. You can use this to stay updated on long-running tasks.
- 06 Capability
List processings
Use list_processings to view a list of all your previous and active geospatial processing jobs. It's a quick way to see your history and current queue.
- 07 Capability
List projects
Use list_projects to browse all of your existing projects within the Mapflow platform. Use this to switch between different mapping areas quickly.
Set up in minutes
One URL. Then ask Mapflow to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Mapflow from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_l4KjwMHaReJ28L5cGvUm98OyOy57ztCjH9NnyQwU/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Mapflow, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Mapflow for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_l4KjwMHaReJ28L5cGvUm98OyOy57ztCjH9NnyQwU/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Mapflow URL.
- Step 03
Save and start
Save the connection and enable Mapflow in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"mapflow": {
"url": "https://edge.vinkius.com/vk_preview_l4KjwMHaReJ28L5cGvUm98OyOy57ztCjH9NnyQwU/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Mapflow
Open Agent mode in chat and ask: "Using Mapflow, help me...". 7 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"mapflow": {
"url": "https://edge.vinkius.com/vk_preview_l4KjwMHaReJ28L5cGvUm98OyOy57ztCjH9NnyQwU/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Mapflow
Ask Copilot: "Using Mapflow, help me...". 7 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"mapflow": {
"url": "https://edge.vinkius.com/vk_preview_l4KjwMHaReJ28L5cGvUm98OyOy57ztCjH9NnyQwU/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Mapflow
Open Cascade and ask: "Using Mapflow, help me...". 7 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"mapflow": {
"url": "https://edge.vinkius.com/vk_preview_l4KjwMHaReJ28L5cGvUm98OyOy57ztCjH9NnyQwU/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Mapflow
Ask Cline: "Using Mapflow, help me...". 7 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add mapflow --transport http "https://edge.vinkius.com/vk_preview_l4KjwMHaReJ28L5cGvUm98OyOy57ztCjH9NnyQwU/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Mapflow
Ask Claude: "Using Mapflow, show me...". 7 tools are ready
Where the request belongs
Work Mapflow can move forward.
GIS specialists who are tired of manual digitizing, urban planners mapping infrastructure, and environmental researchers monitoring land use at scale.
GIS Analyst
Uses the Connector to automate the extraction of road networks from high-res satellite imagery.
Urban Planner
Triggers building footprint extractions for new development zones without opening a browser.
Environmental Researcher
Monitors forest cover changes by running batch processing on drone footage.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsNearmap (High-Res Aerial Imagery & AI)
Manage geospatial data via Nearmap. retrieve high-res aerial imagery, extract AI features, and audit survey coverage.
Sentinel Hub
Access and process satellite imagery from Sentinel, Landsat, and other Earth observation missions through a powerful cloud API.
Felt (Collaborative Maps)
Create and manage collaborative maps. upload geographic data, style layers, and manipulate map elements directly from any AI agent.
EOSDA
Access satellite agriculture data via EOSDA. monitor crop health, vegetation indices, weather, soil moisture, and generate zoning maps from any AI agent.
Maxar (Satellite Imagery)
Access high-resolution satellite imagery and geospatial data from Maxar. search discovery catalogs, order data products, and retrieve streaming endpoints.
Mapillary
Access street-level imagery. search images, sequences, traffic signs and map features worldwide.
Bring your own AI
Change the model, client or framework. Keep Mapflow connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Mapflow.
The practical details behind the request, access and result.
Can I use Mapflow MCP to map buildings in a city?
Yes, it's perfect for that. You can trigger the building model to automatically find and outline structures in satellite photos.
Does Mapflow MCP work with drone imagery?
It does. The Connector supports both satellite and drone footage for extracting roads, buildings, and land cover.
How do I know when my imagery analysis is done?
You can ask your agent to check the status of a specific job. It will tell you if it's still queued, processing, or finished.
Can I manage multiple mapping projects?
Yes, the Connector lets you create, list, and organize different projects so your work stays clean.
What kind of data do I get back?
You get vector data like polygons and lines. These are ready for use in GIS software or web maps.
Is Mapflow MCP good for large-scale land monitoring?
It's built for exactly that. You can run batch processes across large areas and get the results back automatically.
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.
How does Mapflow authentication work?
Mapflow uses Bearer authentication against api.mapflow.ai/rest using your API Key.
Can I track processing tasks?
Yes. Monitor processing status, progress percentages, and access completion datasets when ready.
One connection away
Give your agent a direct line to Mapflow.
Connect Mapflow once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available