💧 WapiMaji MCP — Kenya Water & Drought Intelligence
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.
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
Runtime safety and data limits
SANDBOX=true (the default) uses simulated county drought values, including
aggregate alerts. These values are not observations from NDMA. Live aggregate
alerts are not implemented and return an explicit error with unknown status.
SMS calls in sandbox return sent: false without contacting Africa's Talking.
Live SMS requires both SANDBOX=false and confirm_send=true, supplied only after
the user explicitly confirms that send. Provider acceptance does not establish
delivery to the recipient.
- NDMA — National Drought Management Authority drought phase classifications
- Kenya Meteorological Department — rainfall data
- FEWS NET — Famine Early Warning System food security projections
Related
- mpesa-mcp — M-Pesa + Africa's Talking MCP server
- WapiMaji — The Streamlit dashboard version
- gabrielmahia.github.io — Full civic portfolio
IP & Collaboration
© 2026 Gabriel Mahia · contact@aikungfu.dev 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
- Install & run:
pip install reli-cli && reli list— 33 MCP servers on the official MCP Registry underio.github.gabrielmahia - Evaluate any model on Swahili agent tasks: kipimo · dataset · leaderboard
- Coordinate across servers: africa-coord-bus — offline-first event bus with a built-in Kenya routing table
- Datasets: huggingface.co/gmahia · Docs hub: nairobi-stack
Model-agnostic by design: closed APIs, open-weight models, and small distilled models are all first-class citizens.
Metadata
Release files for wapimaji-mcp 0.1.9
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|---|---|---|---|---|
| wapimaji_mcp-0.1.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.8 kB
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