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CropProphEU MCP Server

@DasClown

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

DasClown

投稿者

DasClown

CropProphEU MCP Server について

概要はまだありません

CropProphEU MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "CropProphEU": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "crop-mcp",
        "."
      ]
    }
  }
}

CropProphEU MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is CropProphEU?

A free MCP server that provides yield forecasts, market values (€/ha), risk analysis, environmental risk scoring, and portfolio optimization for European agriculture. It covers 5 crops across 26 EU countries and 123 NUTS2 regions, built for AI agents using only free, public data sources.

How to use CropProphEU?

Install via pip install git+https://github.com/DasClown/CropProphEU.git, then run as an MCP server using the crop-mcp CLI command (stdio) or crop-mcp --http --port 8080 for HTTP/SSE. Integrate with Claude Desktop or Cursor by adding a JSON configuration with the command python3 -m crop_mcp.server. Alternatively, use the Python API directly for yield predictions.

Key features of CropProphEU

  • 13 MCP tools for yield, value, risk, and optimization
  • Yield-at-Risk (P10/P50/P90) with NDVI satellite correction
  • Live market prices from CBOT/MATIF via Yahoo Finance
  • Portfolio optimizer for budget allocation across regions and crops
  • Environmental Risk Score (ERS) and wild boar damage risk (DE)
  • Zero API keys required – all data sources are free and public

Use cases of CropProphEU

  • Agri-trading desks: query crop value in specific regions at current market prices
  • Farm advisory: compare current season to historical years
  • Portfolio optimization: find best €/ha allocation across 100+ ha
  • Environmental risk assessment: evaluate forest, erosion, storm, hail, and wild boar risk
  • Climate scenario analysis: what-if simulations (+2°C, -20% rain, etc.)

よくある質問

1

What crops and regions are supported?

Five crops: wheat, corn, barley, rapeseed, sunflower – across 26 EU countries (including Ukraine and UK) and 123 NUTS2 regions.

2

Does CropProphEU require API keys?

No. All data sources (Eurostat, NASA POWER, Open-Meteo, SoilGrids, Sentinel-2 NDVI, Yahoo Finance) are free and public.

3

How accurate are the yield forecasts?

Leave-One-Year-Out MAE ranges from 10.8% (rapeseed) to 16.1% (sunflower), with R² values between 0.72 and 0.87. Forward validation (2023-24) shows MAE of 15.0% for wheat.

4

How can I run CropProphEU as an HTTP server?

Install with `pip install crop-mcp[http]` and run `crop-mcp --http --port 8080`. Connect via SSE at `http://your-server:8080/sse`.

5

What data sources are used for the predictions?

Eurostat verified crop codes, NASA POWER for weather, Open-Meteo for forecasts, SoilGrids v2 for soil properties, Sentinel-2 NDVI for vegetation correction, and Yahoo Finance for live commodity prices.

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