RealWorldMCP
Use case · Earth

Build a crop detector on Sentinel-2 satellite data with AI coding help

A developer listed among their AI-assisted projects a system that trains neural nets to recognise crops from Sentinel-2 imagery. Crop detection works fairly well; spotting mowing and ploughing is harder without labels.

Hacker News

Do this with your agent

How you could do the same thing today. “Official MCP” is the vendor's own server. “Manual” means you use the provider's own site or app.

  1. Copernicus Data Space APIsAPI from the vendor

    Named in this story. Search and download Sentinel satellite imagery of any place on Earth.

  2. Real World MCPFind it through our connector

    Add our server and ask your agent to run search_tools. It lists Raspberry Shake data and SkyFi with prices and links. It does not place orders.

  3. What works today, through which server, at what price.

  4. Every MCP server and API we list for this kind of job, with install lines, auth and price.

Add Real World MCP to your agent

22 live tools
ClaudeOne click (opens in a new tab)CursorOne clickSomething else?Setup guide
  1. Open the Add custom connector dialog , prefilled. Or go to Customize → Connectors → + Add → Add custom connector.
  2. Name it Real World MCP, paste this URL, pick No sign in, then Add.
https://www.realworldmcp.com/api/mcp
Free, no key, no account. Your agent gets search_tools, get_tool and call_tool and 22 live tools. All clients and full steps

ChatGPT, Claude, Codex, Cursor, GitHub Copilot, Gemini and Windsurf are trademarks of their respective owners. Real World MCP is not affiliated with them, and compatibility does not imply endorsement or partnership.

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The story is in our words. The source was opened on Nov 2, 2026 and a key phrase was found in it. See all use cases.