# Planet Labs MCP for AI Agents AI Agent Connect > Planet Labs MCP lets your AI agent browse and manage high-resolution satellite imagery. It handles everything from searching specific coordinates and date ranges to setting up automated subscriptions for daily updates. You can filter by cloud cover, check image quality, and find the right data types for visual analysis or NDVI calculations without leaving your chat window. ## Overview - **Category:** the-unthinkable - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_CJrh57tPp7WRiBXCwNC971zKspbWwDQ7AcxPf5PM/ai-agent-connect - **Tags:** satellite-imagery, geospatial-data, remote-sensing, environmental-monitoring, earth-observation, geocoding-maps ## Description Stop wrestling with complex GIS interfaces or digging through endless catalog pages to find one clear shot of a specific field. This Connector connects your AI agent directly to the Planet Labs data feed, turning your chat interface into a high-powered geospatial workstation. Instead of manual filtering, you just tell your agent what you need to see. It can pinpoint imagery across multiple satellite types like PlanetScope or SkySat, estimate cloud coverage before you commit to a download, and even set up automated deliveries to your cloud storage. If you're tracking crop health or monitoring deforestation, you can create saved searches that your agent runs on demand. It's a massive leap forward for anyone who needs to move from searching to analyzing without the typical friction of satellite data acquisition. By bringing these capabilities into the Vinkius marketplace, you get a unified way to manage these complex geospatial workflows through a simple conversation. ## Tools ### list_saved_searches See a list of all your saved monitoring configurations and search queries. It helps you manage your recurring data requests. ### list_asset_types See what data products are available, like visual images or analytic data for NDVI. This helps you choose the right data for your specific analysis. ### get_cloud_coverage Check the clear area percentage of an image to make sure it isn't too cloudy to use. This saves you from downloading junk data. ### create_saved_search Save a specific search query so your agent can run it again whenever you need it. It's perfect for recurring monitoring tasks. ### create_subscription Set up automatic delivery of new imagery to your storage or a webhook. This creates a hands-off data feed for your projects. ### get_item_assets Get the actual download URLs and file sizes for specific imagery items. Use this to grab the exact files you need for your GIS software. ### get_item_details View the metadata and acquisition conditions for a specific satellite image. This helps you verify the quality of a scene before you use it. ### list_item_types Browse the different satellite sources like PlanetScope, SkySat, and Sentinel-2. Use this to see what resolutions are available. ### list_subscriptions View your active automated imagery feeds and their current delivery status. This keeps your automated workflows organized. ### quick_search Find satellite imagery using geometry, dates, and cloud cover filters in one go. It's the fastest way to discover new data. ### get_search_results Run a saved search and get the latest results with pagination and sorting. This is how you pull data from your saved queries. ### get_search_statistics Get histograms of imagery availability to plan out your data collection schedule. See how often a satellite passes over your area. ## Prompt Examples **Prompt:** ``` Find some clear images of my farm from the last 10 days. ``` **Response:** ``` ### Planet Labs Search Results I found 4 clear images of your farm from the last 10 days. Here are the best matches: | Date | Cloud Cover | Resolution | Asset Type | | :--- | :--- | :--- | :--- | | 2025-04-12 | 2% | 3.7m | Visual | | 2025-04-14 | 5% | 3.7m | Analytic | | 2025-04-15 | 1% | 3.7m | Visual | **Best Match:** 2025-04-12 (2% cloud cover) [Download Visual Asset] | [Download Analytic Asset] ``` **Prompt:** ``` What kind of data can I get from Planet? ``` **Response:** ``` You can access several types of satellite imagery depending on your needs: * **PlanetScope:** 3-5m resolution, great for daily global coverage. * *Assets:* Visual, Analytic, UDM2. * **SkySat:** Sub-meter resolution, perfect for high-detail site inspections. * *Assets:* Visual, Analytic, Ortho-Analytic. * **Sentinel-2 & Landsat:** 10m-30m resolution for broader environmental monitoring. Would you like me to search for a specific type? ``` **Prompt:** ``` Set up a daily check for this forest area. ``` **Response:** ``` ### Subscription Created Successfully I've set up a new automated delivery for you: * **Name:** Daily Forest Check * **Frequency:** Daily * **Filters:** Cloud cover < 10%, PlanetScope imagery * **Delivery:** Webhook New imagery matching these criteria will be sent to your webhook as soon as it's available. You can view all active feeds anytime. ``` ## Capabilities ### Search specific coordinates and dates Find satellite imagery for a specific location and time frame using natural language. ### Filter results by cloud cover Identify clear images quickly to avoid downloading unusable, cloudy data. ### Automate imagery delivery Set up recurring feeds that push new imagery directly to your cloud storage or webhooks. ### Estimate clear area percentage Check image quality before downloading to ensure you get the best possible view. ### List available asset types Identify whether an image is best for visual inspection or analytic calculations like NDVI. ### Retrieve imagery statistics Get histograms of data availability to plan out your long-term monitoring schedules. ## Use Cases ### Agricultural Crop Health Monitoring An ag manager asks for cloud-free images over a farm from last week to check for disease. The agent uses quick_search and get_cloud_coverage to find the best shots. ### Disaster Response Damage Assessment A responder asks for sub-meter SkySat images of a flooded city to identify blocked roads. The agent quickly pulls the latest high-resolution data. ### GIS Mapping Data Acquisition A pro uses list_asset_types to find the best surface reflectance data for a new map. They then use get_item_assets to grab the download links for their project. ## Benefits - Skip manual catalog browsing by using quick_search to find exact imagery in seconds. - Avoid downloading useless data with get_cloud_coverage to check for clear skies first. - Automate your monitoring with create_subscription to get daily updates without lifting a finger. - Plan your research better using get_search_statistics to see how much data actually exists in your area. - Switch between satellite sources like SkySat and Sentinel-2 easily using list_item_types. - Keep your workflows consistent by managing recurring queries with list_saved_searches. ## How It Works The bottom line is you get a dedicated satellite analyst that handles the heavy lifting of data discovery. 1. Connect your Planet API key from your account settings to the Connector. 2. Describe the area, dates, and cloud cover limits you need to your agent. 3. Get a curated list of imagery results with direct download links and metadata. ## Frequently Asked Questions **Can I use Planet Labs MCP to find images for my farm?** Yes, it's great for that. You can search for specific areas and filter for clear, cloud-free shots to monitor crop health and growth patterns. **How does Planet Labs MCP handle cloud cover?** It provides an estimate of the clear area percentage before you download anything. This ensures you don't waste time or credits on images that are too cloudy to be useful. **Can I automate my satellite data downloads?** Yes, you can create subscriptions that automatically send new imagery to your storage or a webhook as soon as it's available, making your monitoring hands-free. **What satellite types are available?** The Connector gives you access to PlanetScope, SkySat, RapidEye, Landsat, and Sentinel-2, allowing you to choose the right resolution and revisit time for your project. **Can I see how many images are available in my area?** Yes, the Connector can pull statistics to show you the history of imagery availability for a specific location, which helps you plan your data collection schedule. **Is this good for disaster response?** It's perfect for that because you can quickly pull high-resolution images of a specific site to assess damage or identify blocked roads in real time. **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.