MCP server for Kenya health system navigation: SHA/SHIF coverage (NHIF's successor), facility finder
MCP server for health-service coordination in East Africa, focused on the Kenya health system (“afya” meaning health). It is designed as a Model Context Protocol (MCP) server compatible with an MCP client, using the topics listed by the project for context around healthcare, medical data, and regional deployment concerns.
🛠️ Key Features
Model Context Protocol (MCP) server for health-service coordination
Kenya health system focus
Topics include data sovereignty and East Africa context
🚀 Use Cases
Coordinating health services within the Kenya health system
Supporting AI-agent workflows for medical/health domains in East Africa
⚡ Developer Benefits
Open-source MCP server with installation via pip install afya-mcp
MCP ecosystem integration (“Use with any MCP client”)
Compatible with claude-sonnet-5
⚠️ Limitations
Source data provided does not include tool names, toolCount, or full operational details beyond the short Kenya health system positioning
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 — SHA/SHIF coverage, facility finder, maternal health, CHW support, and essential medicines. 6 tools.
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:
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, SHA/SHIF 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 — the MCP servers on the official MCP Registry under io.github.gabrielmahia
