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MCP server for health-service coordination in East Africa (afya = health)
About
MCP server for health-service coordination in East Africa (afya = health)
Security Report
AfyaMCP is a well-structured health navigation MCP server for Kenya with clean code, appropriate authentication patterns, and no security vulnerabilities. The server uses demo data only (clearly labeled throughout), has minimal dependencies, and implements tools that are appropriately scoped to information lookup and guidance. Permissions align with the stated purpose of health system navigation. Supply chain analysis found 6 known vulnerabilities in dependencies (1 critical, 3 high severity). Package verification found 1 issue.
5 files analyzed · 10 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-afya-mcp": {
"args": [
"afya-mcp"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
afya-mcp
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 afya-mcp · Use with any MCP client.
MCP server for Kenya health system navigation — NHIF coverage, facility finder, maternal health, CHW support, and essential medicines. 6 tools.
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 — the coordination
event bus that routes signals between domains automatically.
When this server detects a threshold condition, the bus notifies:
bima-mcp— parametric insurance evaluationkilimo-mcp— agricultural advisoryafya-mcp— health surveillance activationcounty-mcp— county office alert
pip install africa-coord-bus
All servers: pypi.org/user/gmahia
AI Architecture: Health Domain RAG
Medical AI requires grounding — ungrounded responses in health contexts cause real harm. Use this server as a RAG entry point, not a standalone health oracle.
Research basis:
- RAG Best Practices for Medical Domain (2026): RAG outperforms chain-of-thought on complex medical reasoning and is more interpretable — critical in clinical contexts.
- AfricaNLP 2025/2026: Only 4 African languages (incl. Swahili) have consistent NLP support. Healthcare is identified as the highest-priority domain needing accurate, grounded AI — and the one with the most critical data gaps.
- Multilingual NLP for African Healthcare (AfricaNLP 2025): Bias and translation errors persist specifically in African health AI contexts.
Appropriate use:
✅ Health facility navigation, NHIF coverage lookup, community health worker support
✅ Health information grounded in verified Kenya health system data
✅ Triage to appropriate care level
❌ Diagnosis, prescription, or clinical decision-making (human-in-the-loop required)
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— 33 MCP servers on the official MCP Registry underio.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.
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