Contour MCP
An open-source framework for spatial analysis through natural language.
Describe what you need in plain English and Contour pulls the data, runs the analysis, and returns an interactive map. The question that used to take a GIS analyst a week now takes 30 seconds.
Ask a question, get a map.
47 ranked sites returned in under a minute, each with parcel boundary, zoning, flood zone status, and satellite thumbnail.
Object detection across street-level imagery with GPS-tagged results on an interactive map.
Temporal satellite comparison with per-parcel change classification.
What Contour MCP can answer
From Street-Level Imagery
Object Detection
Extract assets, signage, poles, and features from street-level captures.
Road Condition
Automated surface quality scoring and defect classification.
Change Detection
Compare street-level captures across time to identify additions, removals, and degradation.
Custom Segmentation
Train models on your specific classification taxonomy.
From Satellite and Spatial Data
Similarity Search
Embed a reference location and find visually similar sites across any geography.
Land Classification
Label land cover, development status, and use type for any parcel using foundation model inference.
Damage Assessment
Detect anomalies in post-event imagery for flood extent, storm damage, and fire impact.
Demographic and Risk Overlay
Layer census demographics, flood zones, zoning, and permits onto any analysis.
The Data Layer
Contour connects to data on its own. You don't need to find, download, clean, or manage it.
Contour Street-Level Imagery
360, video, and street view data from 121+ Indian cities, collected through our distributed contributor network.
Satellite and Aerial Intelligence
Land cover classification, change detection, similarity search, and damage assessment powered by open foundation models (Clay, Prithvi, TerraMind).
Global Open Data
Overture Maps (2.3B building footprints, 54M POIs, global road networks) and OpenStreetMap, pre-connected and kept current.
Government and Municipal Data
Parcel boundaries, zoning, permits, land use, census demographics, flood zones, and elevation data.
Your Proprietary Data
Connect portfolios, territories, internal scores, and historical analysis via CSV upload, database connection, or API. Your data stays where it is.
Licensed Third-Party Data
Already paying for commercial data providers? Plug them in and Contour queries them alongside everything else.
Architecture
Everything is defined in human-readable markdown. Every analysis is auditable, versionable, portable, and debuggable.
MCP-compatible. Any AI client (Claude, GPT, or your own applications) can call Contour as a tool and gain full geospatial capabilities.
Contour doesn't just answer one-off questions
Scheduled Workflows
Run any analysis on a recurring schedule and deliver results automatically. A Monday morning flood risk refresh across your portfolio, delivered by email before standup.
Chained Workflows
The output of one workflow feeds the next. When new permits are filed in your target counties, score them and add qualifying parcels to a watch list.
Event Triggers
A new property enters your CRM, a weather alert hits a region, a dataset updates. Contour listens and re-runs relevant analysis without anyone clicking a button.
Connected Delivery
Results go where your team already works: Slack notifications, email reports, webhook pushes, scheduled exports to shared drives.
Built in the open
Contour MCP is fully open-source. The core framework and MCP server are freely available to download, deploy, and operate on your own infrastructure.
We also offer implementation services for organizations that want hands-on support: discovery, setup, training, and managed operation. Typical timeline from kickoff to first production workflow is 2-4 weeks.
Contour MCP is priced separately from street-level data collection. Contact us to scope your requirements.