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CropProphEU MCP Server

@DasClown

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

DasClown

提交者

DasClown

关于 CropProphEU MCP Server

暂无概览

CropProphEU MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

CropProphEU MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.)

常见问题

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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