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Dmap Ai MCP Server

@sohrab4748

Repository

Basic information

Category

Other

Transports

stdio

Author

sohrab4748

Submitted by

Sohrab Kolsoumi

About Dmap Ai MCP Server

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

#drought#climate-data#hydrology#spi#nasa-power#era5-land#wavelet-analysis#environmental-software#agriculture#research-data

Dmap Ai MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Dmap Ai MCP Server tools

5

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

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.

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.

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.

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.

Overview

What is Dmap Ai Mcp Server?

Dmap Ai Mcp Server is a remote Model Context Protocol server for drought monitoring and SPI drought analysis, developed by AgriMetSoft LLC. It provides AI-accessible tools that analyze real climate data from NASA POWER and ERA5-Land/Copernicus Climate Data Store to generate drought diagnostics.

How to use Dmap Ai Mcp Server?

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.

Key features of Dmap Ai Mcp Server

  • 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

Use cases of Dmap Ai Mcp Server

  • Agricultural drought monitoring and early warning
  • Climate research and drought periodicity studies
  • Integration into AI agents needing real-time drought indices
  • Educational demonstrations of wavelet-based drought analysis

Frequently asked questions

1

What data sources does Dmap Ai Mcp Server use?

It uses NASA POWER observations and ERA5-Land reanalysis data from the Copernicus Climate Data Store.

2

Is the server free and publicly accessible?

The README does not mention pricing or access restrictions; the endpoint is publicly listed on the developer’s website.

3

Do I need to install anything locally?

No. The server is a remote streamable HTTP MCP server—only an MCP client is required to connect to the endpoint.

4

Can the server modify or write data?

No. All tools are read-only, providing drought diagnostics without altering any underlying data.

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