Dmap Ai Mcp Server

by sohrab4748

308 downloads

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About

DMAP-AI MCP Server provides AI-accessible drought monitoring and SPI drought analysis tools using NASA POWER and ERA5-Land/CDS data. It supports SPI tables, drought severity event detection, wavelet scalogram analysis, global wavelet periodicity diagnostics, and structured JSON o

Details

Author: sohrab4748
Downloads: 308
Categories: Other

- SPI drought table generation from real climate data
- Drought severity event detection and analysis
- Wavelet scalogram analysis for signal decomposition
- Global wavelet/periodicity analysis of drought cycles
- Structured JSON output for AI consumption
- Read-only diagnostics; no data modification allowed

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Dmap Ai Mcp Server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "dmap ai mcp server": {
            "dmap-ai": {
                "type": "streamable-http",
                "url": "https://droughtanalysis.com/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dmap ai mcp server": {
            "dmap-ai": {
                "type": "streamable-http",
                "url": "https://droughtanalysis.com/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dmap ai mcp server": {
            "dmap-ai": {
                "type": "streamable-http",
                "url": "https://droughtanalysis.com/mcp"
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "dmap ai mcp server": {
            "dmap-ai": {
                "type": "streamable-http",
                "url": "https://droughtanalysis.com/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dmap ai mcp server": {
            "dmap-ai": {
                "type": "streamable-http",
                "url": "https://droughtanalysis.com/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dmap ai mcp server": {
            "dmap-ai": {
                "type": "streamable-http",
                "url": "https://droughtanalysis.com/mcp"
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "dmap ai mcp server": {
            "dmap-ai": {
                "type": "streamable-http",
                "url": "https://droughtanalysis.com/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dmap ai mcp server": {
            "dmap-ai": {
                "type": "streamable-http",
                "url": "https://droughtanalysis.com/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dmap ai mcp server": {
            "dmap-ai": {
                "type": "streamable-http",
                "url": "https://droughtanalysis.com/mcp"
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "dmap ai mcp server": {
            "dmap-ai": {
                "type": "streamable-http",
                "url": "https://droughtanalysis.com/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dmap ai mcp server": {
            "dmap-ai": {
                "type": "streamable-http",
                "url": "https://droughtanalysis.com/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dmap ai mcp server": {
            "dmap-ai": {
                "type": "streamable-http",
                "url": "https://droughtanalysis.com/mcp"
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "dmap ai mcp server": {
            "dmap-ai": {
                "type": "streamable-http",
                "url": "https://droughtanalysis.com/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dmap ai mcp server": {
            "dmap-ai": {
                "type": "streamable-http",
                "url": "https://droughtanalysis.com/mcp"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "dmap ai mcp server": {
            "dmap-ai": {
                "type": "streamable-http",
                "url": "https://droughtanalysis.com/mcp"
            }
        }
    }
}

From the repository

The server is available as a remote streamable HTTP MCP endpoint at https://droughtanalysis.com/mcp. No local installation is needed—clients connect to this endpoint using standard MCP protocol. For research purposes, an interactive web app is also available at https://droughtanalysis.com/DMAP_AI_App.

`debug_ping`

Simple DMAP-AI production connector test. Use this to confirm ChatGPT is connected to the current selected-output MCP server.

`run_spi_table`

Calculate and return a historical Standardized Precipitation Index (SPI) table for a selected location and period using ERA5 or NASA POWER precipitation data. Use this tool when the user asks for: - historical SPI values or an SPI time series; - precipitation and SPI rows for a selected location and period; - SPI drought and wetness categories; - Classic SPI threshold categories; - USDM-style category ranges applied to SPI values; - percentile-based SPI categories; - the k-means category grouping supported by DMAP-AI. This tool returns the SPI table and related table metadata only. Do not use this tool to: - identify consecutive drought events, event duration, event magnitude, or minimum SPI; use the drought-severity-events tool for those requests; - calculate SPEI; - assess soil moisture, crop yield loss, agricultural impact, hydrological impact, ecological impact, or economic damage; - produce a wavelet scalogram or drought-periodicity analysis; - provide weather forecasts, seasonal forecasts, climate projections, or future drought forecasts. Results depend on the selected dataset, baseline period, SPI accumulation scale, temporal aggregation, and available historical record. Do not describe SPI categories as direct measurements of real-world drought impacts.

`run_drought_severity_events`

Use this tool whenever the user asks for drought severity analysis, drought events, a severity table, duration, minimum SPI, magnitude, or an SPI threshold such as SPI <= -0.99. This tool returns the final website-style drought events table only. It intentionally does not return the full SPI table, so ChatGPT must not recalculate the event table. Copula is not used.

`run_wavelet_scalogram`

Use this tool when the user asks for the wavelet scalogram, scalogram heatmap, time-period wavelet power matrix, or high-power zones. This tool returns only a compact/downsampled scalogram result. It does not return the SPI table, drought severity event table, Copula output, or full raw backend matrix.

`run_drought_periodicity_analysis`

Use this tool when the user asks for drought periodicity, drought cycles, dominant periods, secondary periods, global wavelet spectrum, or periodicities. This tool returns only the global wavelet spectrum and ranked periodicities. It does not return the scalogram, SPI table, drought severity event table, or Copula output.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "dmap ai mcp server": {
            "dmap-ai": {
                "type": "streamable-http",
                "url": "https://droughtanalysis.com/mcp"
            }
        }
    }
}

McpServers

{
    "dmap-ai": {
        "type": "streamable-http",
        "url": "https://droughtanalysis.com/mcp"
    }
}

DMAP-AI MCP Server

DMAP-AI MCP Server is a remote Model Context Protocol server for drought monitoring and SPI drought analysis from AgriMetSoft LLC. It provides AI-accessible tools for point-based drought analysis using real climate data from NASA POWER and ERA5-Land/CDS.

Main capabilities

- SPI drought table generation - Drought severity event detection - Wavelet scalogram analysis - Global wavelet / drought periodicity analysis - Structured JSON output - Read-only drought diagnostics from real climate data

Data sources

- NASA POWER - ERA5-Land / Copernicus Climate Data Store

MCP endpoint

The server is available as a remote streamable HTTP MCP server: https://droughtanalysis.com/mcp

GitHub repository

https://github.com/sohrab4748/dmap-ai-mcp

Official DMAP-AI website

https://droughtanalysis.com/

Research Version

https://droughtanalysis.com/DMAP_AI_App

Developer

AgriMetSoft LLC https://agrimetsoft.com

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About

Details

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Setting up with Highlight

From the repository

debug_ping

run_spi_table

run_drought_severity_events

run_wavelet_scalogram

run_drought_periodicity_analysis

Claude Desktop / Cursor

McpServers

DMAP-AI MCP Server

Main capabilities

Data sources

MCP endpoint

GitHub repository

Official DMAP-AI website

Research Version

Developer

Install

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`debug_ping`

`run_spi_table`

`run_drought_severity_events`

`run_wavelet_scalogram`

`run_drought_periodicity_analysis`