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WapiMaji

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Kenya drought and water-stress data, with SMS alerts to farmers.

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About

Kenya drought and water-stress data, with SMS alerts to farmers.

README

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Compatible with claude-sonnet-5 (released 2026-06-30) — Anthropic's most agentic Sonnet yet. Runs multi-step tool chains end-to-end without stopping short. Install: pip install wapimaji-mcp · Use with any MCP client.


MCP server giving AI agents real-time access to Kenya's water stress and drought data — all 47 counties, NDMA drought phase classifications, and SMS alert capability via Africa's Talking.

License: MIT Python 3.10+ MCP

What it does

WapiMaji MCP exposes Kenya drought and water stress data as MCP tools. Any Claude, GPT-4, or MCP-compatible AI agent can now:

  • Query live drought phase data for any of Kenya's 47 counties
  • Get water stress indices from NDMA drought monitor
  • Send SMS alerts to farmers via Africa's Talking when drought levels spike

One-prompt examples:

"What is the current drought phase in Marsabit County?"
→ Gets NDMA Phase 3 classification + rainfall deficit data

"Which counties are in drought emergency right now?"
→ Returns all counties at Phase 3+ with population affected

"SMS these 500 Garissa farmers: drought phase has escalated to 3"
→ Sends alerts via Africa's Talking across Safaricom + Airtel

Tools

Tool Type Description
get_drought_status Read-only Current NDMA drought phase for a county
get_county_water_stress Read-only Water stress index, rainfall deficit, river levels
get_drought_alerts Read-only All counties at or above a given drought phase
sms_drought_alert Destructive Send drought alert SMS via Africa's Talking

Install

pip install wapimaji-mcp
# or:
uvx wapimaji-mcp

Configure

{
  "mcpServers": {
    "wapimaji": {
      "command": "uvx",
      "args": ["wapimaji-mcp"],
      "env": {
        "AT_USERNAME": "your_username",
        "AT_API_KEY": "your_at_key",
        "SANDBOX": "true"
      }
    }
  }
}

Data sources

  • NDMA — National Drought Management Authority drought phase classifications
  • Kenya Meteorological Department — rainfall data
  • FEWS NET — Famine Early Warning System food security projections

Related

IP & Collaboration

© 2026 Gabriel Mahia · [email protected] License: MIT Not affiliated with NDMA or Africa's Talking.

Data Sources

This server draws on open and public domain datasets for drought intelligence:

Open Government Data (Public Domain)

  • NASA MODIS NDVI — vegetation index for drought early warning
  • NOAA CHIRPS — daily rainfall estimates (0.05° resolution)
  • NASA TRMM — monthly precipitation
  • USDA FEWS NET — East Africa livelihood zones

Historical Baseline Data (Public Domain)

  • East Africa Meteorological Records 1900-1940 (colonial era, PD)
  • Kew Gardens East Africa Survey 1910 (botanical PD)

These are structured in africa-open-climate-data and east-africa-agricultural-pd.

Part of the East Africa Coordination Stack

This MCP server is one of 32 tools in the Kenya coordination infrastructure. Connect it to africa-coord-bus — the coordination event bus that routes signals between domains automatically.

pip install africa-coord-bus

All 32 servers: pypi.org/user/gmahia Live demo: coord-cascade-demo

Part of the East Africa coordination stack

Model-agnostic by design: closed APIs, open-weight models, and small distilled models are all first-class citizens.

from github.com/gabrielmahia/wapimaji-mcp

Installing WapiMaji

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/gabrielmahia/wapimaji-mcp

FAQ

Is WapiMaji MCP free?

Yes, WapiMaji MCP is free — one-click install via Unyly at no cost.

Does WapiMaji need an API key?

No, WapiMaji runs without API keys or environment variables.

Is WapiMaji hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install WapiMaji in Claude Desktop, Claude Code or Cursor?

Open WapiMaji on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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