iCrop MCP Server

Connect your iCrop account to Claude Desktop. Ask questions about your farms, crops, and fields - Claude will fetch the data automatically.

Setup

Step 1: Get Docker

Download and install Docker Desktop. Make sure it's running.

Step 2: Build the Docker Image

# In the project folder, build the image
docker build -t icrop-mcp-server:latest .

Step 3: Configure Claude Desktop

Find your Claude Desktop config file:

• Mac: ~/Library/Application Support/Claude/claude_desktop_config.json

• Windows: %APPDATA%\Claude\claude_desktop_config.json

Add this to the file (replace with your iCrop credentials):

{
  "mcpServers": {
    "icrop-mcp-server": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "--env", "ICROP_USERNAME=your_email@example.com",
        "--env", "ICROP_PASSWORD=your_password",
        "--env", "TRANSPORT=stdio",
        "icrop-mcp-server:latest"
      ]
    }
  }
}

Step 4: Restart Claude Desktop

Quit and restart Claude Desktop. You should see the MCP icon in your chats.

Related MCP server: Plantos MCP Server

Available Tools

The server provides 9 tools:

Farm Management:

• icrop_list_farms - List farms with filtering options (year, hidden fields, etc.)

• icrop_list_all_farms - Get all farms without filters

Crop Management:

• icrop_list_crops - Get all available crop types

• icrop_get_crop_details - Get detailed crop information including varieties

• icrop_get_crop_varieties - Get varieties for a specific crop

Field Management:

• icrop_list_crop_fields - List all crop fields

Data Lists:

• icrop_get_soil_types - Get available soil types

• icrop_get_cultivation_types - Get cultivation methods (soil, hydroponic, etc.)

• icrop_get_coverage - Get coverage options (open, covered)

Usage Examples

Ask Claude:

• "Show me all my farms for 2025"

• "What crops are available?"

• "List potato varieties"

• "Show my crop fields"

• "What soil types can I use?"

Project Structure

src/
├── icrop_mcp_server.py     # Main MCP server
└── schemas.py              # Data validation