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DMAP-AI MCP Server

MCP server for DMAP-AI drought monitoring and SPI drought analysis using NASA POWER and ERA5-Land/CDS data.

50poor
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
30
7.5
Adoption
20%
0
0.0
Quality
10%
20
2.0
Trust
10%
50
5.0
Total
49.5
⚿ Capabilities & Risk Explainer
no elevated permissions
◆ Risk level: low· 5 tools · auth: no auth required
No elevated permissions requested — safe to connect.
Tool nameDescriptionDestructive?
debug_pingSimple DMAP-AI production connector test. Confirms the server is live and returns the current tool version and list of a✓ no
run_spi_tableReturns a Standardized Precipitation Index (SPI) table for a given location and period. Supports Classic SPI, USDM-style⚠ yes
run_drought_severity_eventsDetects drought events using a configurable SPI severity threshold. Returns a drought events table with start date, end ⚠ yes
run_wavelet_scalogramRuns continuous wavelet transform on SPI data and returns a compact time–period power matrix (scalogram). Highlights hig⚠ yes
run_drought_periodicity_analysisComputes the global wavelet spectrum and identifies dominant and secondary drought periods (cycles) for a location. Retu⚠ yes
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/sohrab4748/dmap-ai-mcp
📈 Score historylast 8 snapshots
5/31/20266/6/2026 · 8 snapshots
⚙ Maintenance health
12/ 100 · is this project alive?
contributors (1y)1
top contributor share100%
releases (1y)0
ci✗ none
⛁ Raw data
weekly downloads0
github stars0
forks0
open issues0
license✗ missing
readme length0 chars
last updated7d ago
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DMAP-AI MCP Server — MCP Score: 50/100 | MCPScore | Timeahead