MCP For Claude Marketplace
Mapflow

Mapflow MCP Connector for Claude

A+

Extract geospatial features from satellite imagery with AI that detects buildings, roads, and vegetation patterns automatically.

7 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your Mapflow account to any AI agent and manage geospatial AI processing through natural conversation.

What you can do

  • Project Management — Create and manage mapping projects
  • Image Processing — Trigger AI models on satellite and drone imagery
  • Task Tracking — Monitor processing status and completion
  • Dataset Browsing — Access generated vector datasets and polygons
  • Model Management — Browse available AI models (buildings, roads, forests)

How it works

  1. Subscribe to this server
  2. Enter your Mapflow API Key
  3. Start processing geospatial data from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • GIS Specialists — extract vector data from imagery automatically
  • Urban Planners — map buildings and infrastructure
  • Environmentalists — monitor forests and land use
geospatial-aisatellite-imagerydrone-mappingcomputer-visionvector-datafeature-extraction

7 tools expose this connector's capabilities to your AI agent.

create_processing

Pass data as a JSON string. Start a new imagery analysis

create_project

Pass data as a JSON string. Create a new project

get_processing_result

Get processing result data

get_processing_status

Check status of a processing job

list_models

List available geospatial AI models

list_processings

List all geospatial processings

list_projects

List all MapFlow projects

See how to talk to your AI agent using Mapflow.

List available AI models and my active projects.

AI Models: 8 available. 'Building Footprints' (v2.1), 'Road Networks' (v1.5), 'Forest Cover' (v3.0), 'Construction Sites', 'Agriculture Fields'. Active projects: 3. 'Seattle Urban Planning' (Buildings), 'Amazon Monitoring' (Forest), 'Highway Survey' (Roads).

Start processing building footprints for the Seattle project.

Processing task started! ✅ Task ID: tsk_8901. Model: 'Building Footprints' (v2.1). Area: 14 sq km (Seattle downtown). Imagery: Maxar SecureWatch. Estimated time: 14 minutes. Status: Queued. Cost: 28 credits.

Check status of task tsk_8901 and show dataset results.

Task tsk_8901 status: Completed ✅ (Took 12m 45s). Dataset generated: 'Seattle_Buildings_Final'. Features extracted: 14,250 polygons. Confidence score avg: 92%. Formats available: GeoJSON, Shapefile, Geopackage. Ready for download.

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

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