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💳 mkopo-mcp — Alternative Credit Scoring MCP Server
Security Report
5.2
Moderate5.2Moderate RiskThis is a well-structured educational credit scoring MCP server with appropriate authentication model and clear purpose constraints. The code is clean, properly handles input validation, and consistently emphasizes that all output is DEMO data not for real lending decisions. No malicious patterns, credential leaks, or dangerous operations detected. Permissions align with the server's purpose of providing analytical tools. Supply chain analysis found 5 known vulnerabilities in dependencies (1 critical, 3 high severity). Package verification found 1 issue.
5 files analyzed · 9 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-gabrielmahia-mkopo-mcp": {
"args": [
"mkopo-mcp"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
💳 mkopo-mcp — Alternative Credit Scoring MCP Server
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 mkopo-mcp · Use with any MCP client.
Most East Africans transacting heavily on mobile money have no formal credit file — the data exists in M-PESA history, but no scoring model reads it as an agent-callable tool.
70%+ of Kenyan adults are "credit invisible" — no formal credit history means no access to capital. M-PESA is a de facto financial history record that predicts repayment behaviour. mkopo-mcp makes that intelligence accessible to AI agents.
The Structural Problem
In mature economies, credit bureaus have 30+ years of credit card, mortgage, and auto loan data per person. That data machine took 50 years to build. In Kenya, most people's financial lives happen in cash and mobile money — invisible to formal credit systems.
M-PESA is the credit bureau that doesn't know it is one.
- Regular income deposits → income stability
- Utility payment regularity → discipline signal
- Savings behaviour (M-Shwari, chama) → future orientation
- Fuliza usage ratio → short-term distress indicator
- Business Paybill receipts → verifiable commercial activity
Tools
| Tool | What it does |
|---|---|
alternative_credit_score | Score from M-PESA behavioural signals (300–850 scale) |
mpesa_creditworthiness | Analyse inflow/outflow patterns for loan capacity |
credit_report_summary | Generate structured report like a loan officer would review |
loan_eligibility | Match to appropriate Kenya lender types |
credit_improvement_tips | Personalised steps to improve credit tier |
Quick Start
pip install mkopo-mcp # coming soon to PyPI
mkopo-mcp # starts on stdio
Research Basis
- World Bank "Expanding Access to Finance" (2022)
- Breza & Kinnan "Measuring the Equilibrium Impacts of Credit" (2021)
- CBK Prudential Guidelines (2022)
- Kenya CRB Act (Cap. 44A)
⚠️ DEMO data — not a real CRB product. Consult Metropol or CRB Africa for official reports.
© 2026 Gabriel Mahia / AI Kung Fu LLC · MIT License
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
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.
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