Introducing kazi-mcp: Labor Market Coordination for Kenya's 15 Million Informal Workers

Kenya's informal sector employs roughly 83% of the workforce. Most of those workers — jua kali artisans, boda riders, domestic workers, hawkers — have no formal employment record, no portable skills credential, and no way to benchmark their earnings against market rates.

That changes today with kazi-mcp, the newest tool in the East Africa coordination infrastructure suite.

What kazi-mcp does

kazi-mcp is an MCP server with 6 tools:

pip install kazi-mcp

job_match — Input a list of skills, get ranked job matches with salary ranges in KES.

wage_benchmark — Query monthly gross pay benchmarks (entry/mid/senior) for any job in Kenya.

skills_gap_analysis — Find the gap between your current skills and a target role, with specific Kenyan training providers for each missing skill.

informal_sector_registry — Register or look up jua kali and informal worker profiles.

contract_template — Generate Kenya Employment Act 2007-compliant contract templates.

labor_rights_query — Ask about any Employment Act right: maternity leave, overtime, termination, NSSF/NHIF.

Why labor coordination is a structural problem

The core issue isn't wages — it's information asymmetry. An employer in Westlands doesn't know the going rate for a skilled welder in Gikomba. A domestic worker in Karen can't easily document her 10 years of experience when seeking a new placement. A fresh CS graduate doesn't know whether to negotiate for KES 60,000 or KES 120,000.

kazi-mcp surfaces what was previously opaque: market rates, skill requirements, training pathways, and legal protections — all queryable by any AI agent.

The coordination infrastructure suite

kazi-mcp completes the first layer of Kenya's coordination stack:

Domain	Tool
Payments	mpesa-mcp
Insurance	bima-mcp
Credit	mkopo-mcp
Markets	soko-mcp
Reputation	sifa-mcp
Labor	kazi-mcp
Water/Drought	wapimaji-mcp

Each tool addresses a market failure where information asymmetry costs Kenyans real money. Together, they represent a queryable layer on top of East Africa's economic reality.

Try it

# In Claude Desktop, Cursor, or any MCP client:
# "What jobs match a Python developer in Nairobi?"
# "What's the going rate for a nurse in Mombasa?"
# "What rights does a casual worker have under Kenyan law?"

Source code: github.com/gabrielmahia/kazi-mcp
PyPI: pip install kazi-mcp

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All data is synthetic demo data. This is not legal or financial advice.