soko-mcp

📊 soko-mcp — Kenya Commodity Price Intelligence MCP Server

Install: pip install soko-mcp · Use with any MCP client.

A farmer deciding whether to sell or hold needs current prices across multiple markets simultaneously. That comparison exists nowhere as a single queryable source.

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

Part of the East Africa Coordination Stack

This MCP server is part of the Kenya coordination infrastructure. It connects to 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

pip install africa-coord-bus

All servers: 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. Security reports: see SECURITY.md.

Part of the East Africa coordination stack

• Install & run: pip install reli-cli && reli list — the MCP servers on the official MCP Registry under io.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.