📊 soko-mcp — Kenya Commodity Price Intelligence MCP Server

First commodity price intelligence MCP server for East Africa.

Soko = market in Swahili.

A farmer in Nakuru doesn't know that maize prices in Nairobi are 40% higher that week. Traders know. Farmers don't. This information asymmetry is one of the most costly structural disadvantages facing smallholder farmers. soko-mcp closes it.

The Structural Problem

In mature commodity markets, price discovery is instantaneous — futures markets, satellite price tickers, and SMS alerts exist for every major exchange. A grain elevator in Iowa checks live CME prices before making any offer.

In Kenya, most smallholder farmers receive the price the trader offers, with no independent benchmark to compare against. The result: systematic underpricing at harvest, systematic overpricing at planting.

Information asymmetry is a tax on the poor.

Tools

Tool	What it does
commodity_price_query	Current price for commodity at a specific market
regional_price_comparison	Compare prices across all major Kenya markets
price_trend_analysis	6-month history + 3-month forecast with seasonal model
sell_hold_decision	Optimal sell/hold timing given storage costs and price trend
market_overview	Multi-commodity price snapshot for a market

Quick Start

pip install soko-mcp       # coming soon to PyPI
soko-mcp                   # starts on stdio

Example Queries for Claude

"What is the current Nairobi maize price?"
"Should I sell my 50 bags of beans now or wait 2 months?"
"Compare potato prices across all Kenya markets"
"Give me a price trend for avocados in Nakuru for the next 3 months"

Research Basis

• EAGC East Africa Regional Market Monitor
• World Bank "Information and Communication Technology and Agricultural Markets" (2016)
• Suri & Jack "Mobile Phones and Agricultural Performance" (2016)

⚠️ DEMO data — synthetic seasonal model. Verify at eagc.org, kalro.org, or local market boards.

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© 2026 Gabriel Mahia / AI Kung Fu LLC · MIT License