Can my AI search for cloud-free satellite imagery over my farm from last month?

Yes! Use the `quick_search` tool with your farm boundary as GeoJSON geometry, date range for last month, item_types=PSScene, and max_cloud_cover=10 (for 10% or less cloud cover). The search returns all available imagery matching your criteria with acquisition dates, cloud cover percentages, and download URLs for visual and analytic assets. For ongoing monitoring, create a saved search with `create_saved_search` and execute it regularly with `get_search_results`.

What is the difference between PSScene, SkySat, and RapidEye imagery?

PSScene (PlanetScope) provides daily global coverage at 3-5m resolution with 200+ satellites, ideal for broad-area monitoring and time-series analysis. SkySat offers sub-meter resolution (0.5-0.9m) with video capability, perfect for detailed inspection of specific sites. RapidEye provides 5m resolution with a 5-band sensor (including red-edge) and a deep historical archive dating back to 2009. Use `list_item_types` to see all available imagery types and their supported asset types.

How do I set up automated daily imagery delivery for my area of interest?

Use the `create_subscription` tool with your area geometry, item types (e.g., PSScene), and cloud cover filter. You can specify delivery to AWS S3, Google Cloud Storage, Azure Blob, or webhook endpoints. The subscription will continuously deliver new imagery matching your criteria as it becomes available. To manage existing subscriptions, use `list_subscriptions` to review and monitor active deliveries.

Planet Labs MCP Connector for Claude

A+

Access daily satellite imagery via Planet Labs — search PSScene, SkySat, and RapidEye imagery, filter by cloud cover, and set up automated imagery delivery from any AI agent.

12 tools Official Updated Jun 28, 2026 Official Vinkius Partner

More Details Connect to Claude

Connect your Planet Labs API to any AI agent and take full control of daily satellite imagery search, discovery, automated delivery, and imagery analysis through natural conversation.

What you can do

Quick Search — Search for satellite imagery with geometry, date range, cloud cover, and sun elevation filters
Saved Searches — Create and manage saved searches for recurring imagery monitoring workflows
Search Results — Execute saved searches with pagination and sorting to retrieve imagery results
Search Statistics — Get histograms of imagery availability by time interval for planning analysis
Item Details — View detailed metadata for specific imagery items including acquisition conditions
Asset Discovery — List all available asset types (visual, analytic, UDM2) for each imagery item
Item Types — Browse all available satellite imagery types (PSScene, SkySat, RapidEye, Landsat, Sentinel-2)
Asset Types — Understand available data products (true-color, surface reflectance, uncertainty masks)
Cloud Coverage — Estimate clear area percentage before downloading imagery for quality assessment
Subscriptions — List and create automated subscriptions for continuous cloud delivery of imagery
Multi-Satellite Access — Search across PlanetScope (3-5m), SkySat (sub-meter), RapidEye (5m), Landsat (30m), and Sentinel-2 (10m)
Global Daily Coverage — Access daily imagery of Earth landmass with 200+ PlanetScope satellites

How it works

Subscribe to this server
Enter your Planet API key (from My Settings in your Planet account)
Start searching satellite imagery from Claude, Cursor, or any MCP-compatible client

No more manual satellite catalog browsing or complex GIS workflows. Your AI acts as a dedicated satellite imagery analyst and data acquisition assistant.

Who is this for?

Agriculture Teams — monitor crop health with daily cloud-free imagery and NDVI analysis
Environmental Scientists — track deforestation, wetland changes, and habitat loss over time
Disponse Response Teams — rapidly acquire pre and post-event imagery for damage assessment
GIS Professionals — discover, evaluate, and download satellite imagery for mapping projects

satellite-imagerygeospatial-dataremote-sensingenvironmental-monitoringearth-observationgeocoding-maps

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

list_asset_types

Returns asset type IDs, display names, and descriptions. Essential for selecting the appropriate data product for specific use cases (visual for visualization, analytic for NDVI calculation, UDM for quality filtering). AI agents should reference this when users ask "what asset types can I download", "difference between analytic and visual assets", or need to understand available data products for analysis. List all available asset types (visual, analytic, UDM, etc.) and their properties

get_cloud_coverage

Returns clear percentage, cloud percentage, and status information. Essential for quality assessment before downloading imagery, filtering cloudy images from analysis workflows, and ensuring usable imagery for visual interpretation. AI agents should use this when users ask "how cloudy is this image", "what percentage of this scene is clear", or need to assess imagery quality before committing to download. Estimate cloud coverage and clear area percentage for a specific imagery item

create_saved_search

Accepts the same filter parameters as quick_search including geometry, date range, cloud cover, and item types. Returns a search ID that can be used with get_search_results to execute the search on demand. Essential for automated monitoring, change detection workflows, and recurring imagery retrieval. AI agents should use this when users ask "set up a search for new imagery over my field every week", "create a saved search for cloud-free images", or need to establish recurring imagery monitoring for a specific area. Create a saved search for continuous imagery monitoring

create_subscription

Accepts geometry, date range, cloud cover filters, item types, and delivery destination (cloud storage or webhook). Returns the created subscription with ID and status. Essential for setting up automated monitoring, establishing continuous data feeds for change detection, and ensuring regular imagery delivery for operational workflows. AI agents should use this when users ask "set up daily imagery delivery for my farm", "create a subscription for cloud-free images over this area", or need to establish automated imagery delivery for monitoring applications. Create a new subscription for continuous automated imagery delivery

get_item_assets

Each asset includes download URLs, file sizes, and permissions. Essential for selecting the appropriate data product for analysis, downloading imagery for GIS processing, and understanding available data products. AI agents should use this when users ask "what assets are available for this image", "get download URLs for analytic imagery", or need to select specific asset types (visual for display, analytic for analysis) for download. List all available asset types (visual, analytic, UDM) for a specific imagery item

get_item_details

Essential for evaluating image quality before download, understanding acquisition conditions, and preparing orders for specific imagery. AI agents should reference this when users ask "show me details for this image", "what is the cloud cover and acquisition time for item X", or need to evaluate imagery quality before downloading. Get detailed metadata for a specific satellite imagery item

list_item_types

Returns item type IDs, display names, and supported asset types for each. Essential for understanding available imagery sources, selecting appropriate resolution and coverage for analysis, and planning data acquisition strategies. AI agents should use this when users ask "what satellite imagery types are available", "compare PSScene vs SkySat resolution", or need to understand the full catalog of Planet imagery options. List all available satellite imagery item types and their supported assets

list_saved_searches

Returns search names, IDs, filter criteria, item types, and creation dates. Essential for managing monitoring workflows, reviewing existing search configurations, and selecting searches for execution. AI agents should reference this when users ask "show me all my saved searches", "list my monitoring configurations", or need to review existing saved searches before executing them. List all saved searches in your Planet account

list_subscriptions

Returns subscription names, IDs, filter criteria, delivery destinations, and status. Essential for monitoring automated imagery delivery, reviewing subscription configurations, and managing continuous data feeds. AI agents should reference this when users ask "show me all my subscriptions", "list automated imagery deliveries", or need to review existing subscription configurations. List all active imagery subscriptions for continuous cloud delivery

quick_search

Supports item types including PSScene (PlanetScope, 3-5m resolution, daily global coverage), SkySat (sub-meter resolution, high-detail), RapidEye (5m resolution, historical archive), Landsat 8/9 (30m resolution, USGS), and Sentinel-2 (10m resolution, ESA). Returns imagery items with acquisition dates, cloud cover percentages, sun elevation, instrument mode, geometry, and available asset types. Essential for satellite imagery discovery, change detection analysis, disaster monitoring, and agricultural assessment. AI agents should use this when users ask "find cloud-free imagery over this area from last month", "search for PSScene images of my farm", or need to discover available satellite imagery for a specific location and time period. Geometry must be provided as GeoJSON (Point, Polygon, or MultiPolygon). Date filtering uses the acquired property in ISO 8601 format. Cloud cover and sun elevation are filtered using the filter object with range operators. Search for satellite imagery from Planet Labs with geometry, date, and cloud cover filters

get_search_results

Supports pagination (page, page_size) and sorting (acquired asc/desc, published asc/desc). Returns imagery items with acquisition dates, cloud cover, geometry, and available asset types. Essential for retrieving results from pre-configured monitoring searches and executing recurring imagery queries. AI agents should use this when users ask "run my Weekly Farm Monitoring search", "get results from saved search X", or need to execute a saved search and retrieve the latest imagery results. Execute a saved search and retrieve imagery results

get_search_statistics

Essential for understanding imagery availability patterns, planning data collection schedules, and assessing temporal coverage for change detection analysis. AI agents should use this when users ask "how many images are available per month for my area", "show me imagery availability statistics", or need to understand temporal patterns of satellite coverage before setting up monitoring. Get statistical histograms of available imagery for an area and time period