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gabrielmahia

kilimo-mcp

by gabrielmahia
README.md
# kilimo-mcp
<!-- mcp-name: io.github.gabrielmahia/kilimo-mcp -->

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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 kilimo-mcp` · Use with any MCP client.

---


> Kenya precision agriculture via MCP — crop calendar, fertilizer, pest alerts, KALRO varieties

[![PyPI](https://img.shields.io/badge/PyPI-v0.1.0-blue)](https://github.com/gabrielmahia/kilimo-mcp)
[![License](https://img.shields.io/badge/License-MIT-green)](https://github.com/gabrielmahia/kilimo-mcp)
[![Layer](https://img.shields.io/badge/Layer-Social-purple)](https://github.com/gabrielmahia/kilimo-mcp)


## AI Architecture: Agricultural Domain RAG

Agricultural AI for East Africa requires domain-specific retrieval — generic
models hallucinate crop varieties, soil types, and local market conditions.

**Research basis:**
- **AgriIR** (Springer 2026): configurable RAG framework for agricultural knowledge
  retrieval — validates domain-specific retrieval over monolithic agricultural models.
  Key finding: low computational cost with high accuracy when knowledge base is curated.
- **RAG vs Fine-tuning on Agriculture** (arXiv 2401.08406): RAG outperforms fine-tuning
  for dynamic agricultural knowledge (seasonal, location-specific, real-time market).
- **DPGA 2026 focus**: Domain-specific DPGs in agriculture and climate are a
  2026 strategic priority for Co-Develop and DPGA members.

**Knowledge base pairing:**
- Kenya National Drought Management Authority (NDMA) data → drought → crop risk
- Kenya Meteorological Department seasonal forecasts → planting calendar
- East Africa agricultural historical data (1906-1925, HuggingFace: gmahia)

**Coordination:**
Pairs with `wapimaji-mcp` (water), `bima-mcp` (insurance), `soko-mcp` (markets)
via `africa-coord-bus` for full drought response cascade.

## Install

```bash
pip install kilimo-mcp
```

## What it does

6 MCP tools covering Kenya precision agriculture. 1st world equivalent: **Climate Corp / Granular**.

| Tool | Description |
|------|-------------|
| `crop_calendar` | Kenya crop planting and harvesting calendar by region |
| `fertilizer_guide` | Fertilizer recommendations by crop and soil type |
| `pest_disease_alert` | Crop pest and disease identification and management |
| `market_timing_guide` | Best timing to sell produce based on price cycles |
| `kalro_varieties` | KALRO improved crop variety recommendations |
| `input_cost_calculator` | Kenya farm input cost calculator and comparison |

## Usage

```bash
# Run as standalone MCP server
kilimo-mcp

# Or add to Claude Desktop / any MCP client
# Add to your MCP config: {"command": "kilimo-mcp"}
```

## Part of the Kenya Coordination Infrastructure Stack

This is one of 23 MCP servers covering the full coordination infrastructure of East Africa:

**Economic:** mpesa · mkopo · bima · soko · sifa · remit · kra · faida  
**Physical:** wapimaji · nishati · usafiri · ardhi  
**Social:** afya · afya-ya-akili · elimu · kazi · haki-ya-kazi · kilimo · jumuia  
**Civic:** nyumba · habari · mazingira · civic-agent-kit  

→ [The Nairobi Stack](https://gabrielmahia.github.io/nairobi-stack)  
→ [Full Portfolio](https://gabrielmahia.github.io)

## Trust Integrity

All data in this server is **clearly labeled DEMO** where synthetic. Verify all operational data with the relevant Kenyan government authority before use.

## License

MIT © Gabriel Mahia | [AI-KungFU](https://github.com/gabrielmahia) | contact@aikungfu.dev

> *Decision infrastructure for East Africa*

## Part of the East Africa Coordination Stack

This MCP server is one of 32 tools in the Kenya coordination infrastructure.
It connects to [`africa-coord-bus`](https://github.com/gabrielmahia/africa-coord-bus) — the coordination
event bus that routes signals between domains automatically.

When this server detects a threshold condition, the bus notifies:
- `bima-mcp` — parametric insurance evaluation
- `kilimo-mcp` — agricultural advisory
- `afya-mcp` — health surveillance activation
- `county-mcp` — county office alert

```python
pip install africa-coord-bus
```

All servers: [pypi.org/user/gmahia](https://pypi.org/user/gmahia/)

## IP & Collaboration

MIT licensed. Feedback via GitHub Issues only — pull requests are not accepted. Demo data is labeled DEMO and is not suitable for operational decisions. Full policy: [docs/architecture/IP_POLICY.md](docs/architecture/IP_POLICY.md). Security reports: see [SECURITY.md](SECURITY.md).

<!-- interconnect:v1 -->
## Part of the East Africa coordination stack

- **Install & run:** `pip install reli-cli && reli list` — 33 MCP servers on the [official MCP Registry](https://registry.modelcontextprotocol.io) under `io.github.gabrielmahia`
- **Evaluate any model on Swahili agent tasks:** [kipimo](https://github.com/gabrielmahia/kipimo) · [dataset](https://huggingface.co/datasets/gmahia/kipimo) · [leaderboard](https://huggingface.co/spaces/gmahia/kipimo-leaderboard)
- **Coordinate across servers:** [africa-coord-bus](https://pypi.org/project/africa-coord-bus/) — offline-first event bus with a built-in Kenya routing table
- **Datasets:** [huggingface.co/gmahia](https://huggingface.co/gmahia) · **Docs hub:** [nairobi-stack](https://github.com/gabrielmahia/nairobi-stack)

Model-agnostic by design: closed APIs, open-weight models, and small distilled models are all first-class citizens.
<!-- /interconnect:v1 -->

TDQS

B3.2/5.0

Scored across 6 tools

Disambiguation5/5

Each tool targets a distinct agricultural domain: planting schedule, fertilizer, pests, market timing, varieties, and input costs. No overlap in purpose, making tool selection unambiguous.

Naming Consistency5/5

All tool names use a consistent lowercase snake_case pattern with noun-noun combinations (e.g., crop_calendar, fertilizer_guide). The naming is uniform and descriptive, making it easy to predict tool functions.

Tool Count5/5

Six tools is a well-scoped set for an agricultural advisory server, covering key aspects without being overwhelming. Each tool has a clear purpose, and the count is within the ideal range.

Completeness4/5

The tools cover the core planting-to-selling lifecycle: planting calendar, fertilizer, pest/disease management, market timing, variety selection, and cost calculation. Minor gaps exist (e.g., weather or irrigation guidance), but the surface is largely complete for its stated purpose.

Maintenance

ActivityStale
ResponsivenessNo issues