# Mapflow MCP for AI Agents AI Agent Connect > Mapflow lets you turn satellite and drone images into usable vector data. It handles the heavy lifting of identifying buildings, roads, and land cover so you can focus on analysis. Connect it to your agent to manage entire mapping projects, trigger specific AI models, and track processing results in real-time. ## Overview - **Category:** artificial-intelligence - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_l4KjwMHaReJ28L5cGvUm98OyOy57ztCjH9NnyQwU/ai-agent-connect - **Tags:** geospatial-ai, satellite-imagery, drone-mapping, computer-vision, vector-data, feature-extraction ## Description Mapflow lets you turn thousands of square miles of imagery into actual data points. Instead of manually tracing lines and shapes in a GIS suite, you can just tell your agent what you need. You can start a new project, pick the right model for the terrain, and let the AI do the extraction. When the job is done, you get the polygons you need for your map. It makes the bridge between raw imagery and usable geospatial datasets much shorter. Whether you're checking for new construction in a city or monitoring forest loss, this Connector puts the processing power of the platform directly into your conversation. It's one of the most efficient ways to manage these complex workflows through the Vinkius catalog. You don't have to worry about the underlying API calls or the complexity of the model selection. Your agent handles the heavy lifting while you focus on the bigger picture. You can check the status of a job as easily as you'd ask a teammate for an update. It turns a tedious manual process into a few quick commands, giving you back the time to actually analyze the data rather than just collecting it. Think about the time spent jumping between windows to confirm a task is done or searching for a specific project ID in a long list. This setup removes those friction points. You can pull a list of all available models to see what's ready for a new region or grab the final results of a completed run without ever leaving your chat window. ## Tools ### 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. ### 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. ### 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. ### 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 tool for your specific terrain. ### 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. ### 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. ### 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. ## Prompt Examples **Prompt:** ``` What models can I use for forest cover? ``` **Response:** ``` You have several options for vegetation analysis: * **Forest Cover v3.0** (Recommended for high-res drone imagery) * **Agriculture Fields** * **Vegetation Patterns** Would you like me to start a project using one of these? ``` **Prompt:** ``` Start a project for the new highway and run the road model. ``` **Response:** ``` I've created the **Highway Survey** project for you. I am now triggering the **Road Networks** model on your selected imagery. I'll monitor the progress and let you know as soon as the status updates. ``` **Prompt:** ``` Give me the results for the last completed job. ``` **Response:** ``` The last job (ID: `tsk_8901`) is finished! **Results Summary:** * **Dataset:** Seattle_Buildings_Final * **Features:** 14,250 polygons * **Avg. Confidence:** 92% Your data is ready for download in GeoJSON, Shapefile, or Geopackage formats. ``` ## Capabilities ### Start imagery analysis Trigger AI models on satellite or drone footage to extract features. ### Automate feature extraction Generate vector polygons for buildings, roads, and vegetation. ### Monitor job progress Check the real-time status of ongoing geospatial processing tasks. ### Browse AI models See which models are available for different types of land cover. ### Manage mapping projects Organize and list multiple geospatial projects in one place. ### Retrieve vector datasets Get the final extracted data once the AI finishes the analysis. ## Use Cases ### Urban Expansion Mapping A planner needs to map all buildings in a new suburb. They ask the agent to start a project and run the building model to get the polygons. ### Road Survey Automation A civil engineer needs to extract roads from drone footage. They use the Connector to trigger a batch process across dozens of images at once. ### Forest Cover Monitoring A researcher wants to see how much forest was lost. They use the Connector to run a land cover model and get the polygon count for a specific region. ### Infrastructure Audit A utility company wants to find power lines. They list models to find the best fit and then start a new processing job to identify them. ## Benefits - Skip manual tracing by using create_processing to generate vector data automatically. - Keep your workspace organized by using create_project to group related mapping tasks. - Monitor your queue in real-time with get_processing_status to see exactly when jobs finish. - Choose the right tool for the job by using list_models to see available features like forest cover. - Quickly grab your final data with get_processing_result once the AI finishes the extraction. - Stay on top of your workload by using list_processings to see every job you've ever run. ## How It Works The bottom line is that you turn raw satellite imagery into structured vector data using natural language commands. 1. Paste your Mapflow API Key into your configuration. 2. Tell your agent which imagery and models to process. 3. Get a list of completed datasets and polygon counts. ## Frequently Asked Questions **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.