Is Swahili Health free?

Yes, Swahili Health is free to use.

How do I install Swahili Health?

Swahili Health is a local plugin. Install it using PyPI package: swahili-health-mcp and add the generated configuration snippet to your AI app's MCP config file. Then restart your AI app.

Is Swahili Health safe to use?

Yes. Swahili Health passed MCP Marketplace's automated security scan with a score of 10/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What AI apps work with Swahili Health?

Swahili Health uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Swahili Health MCP Server

by Gabrielmahia

Developer ToolsLow Risk10.0MCP RegistryLocal

Free

Server data from the Official MCP Registry

Kenya county health indicators (maternal care, immunization, stunting) from the Kenya DHS 2022

About

Kenya county health indicators (maternal care, immunization, stunting) from the Kenya DHS 2022

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (0 strong, 7 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.

9 files analyzed · 1 issue 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.

file_system

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-gabrielmahia-swahili-health-mcp": {
      "args": [
        "swahili-health-mcp"
      ],
      "command": "uvx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Swahili Health MCP

Kenya county-level maternal health, child immunization and child stunting indicators for AI agents, from the DHS Program's Kenya Demographic and Health Survey 2022. Real survey data, bundled in the package (works offline), with the source, survey year, reference period and sample size on every answer.

Tools

Tool	What it does
`list_health_indicators`	The 11 indicators held (id, label, population, whether higher or lower is better) and the survey they come from. Call this first.
`get_county_health_profile`	Every indicator for one county.
`get_maternal_health_indicators`	Antenatal visits (4+), antenatal care from a skilled provider, skilled assistance at delivery, health-facility delivery, no postnatal checkup.
`get_immunization_coverage`	Children 12-23 months who received BCG, DPT3, measles, were fully vaccinated (8 basic antigens) or received none.
`compare_counties`	Rank the counties on one indicator: where is need greatest, where is coverage best.

All 47 counties, Nairobi included. An unknown county or vaccine is an error that lists the valid values; nothing is guessed or defaulted.

Install and use

pip install swahili-health-mcp
claude mcp add swahili-health -- swahili-health-mcp      # or: uvx swahili-health-mcp

Then ask: "Which five counties have the lowest DPT3 coverage?", "Compare antenatal care in Turkana and Nairobi."

What these numbers are, and are not

Survey estimates, not routine facility reporting (KHIS). Each carries sampling error; county samples are small, so close values are not reliably different (the sample size n is in every answer).
The reference period is the DHS-preferred one (the two years before the survey). DHS also publishes a three-year period for the same counties; this server deliberately uses one.
Data: The DHS Program, Kenya DHS 2022 (KNBS and ICF), retrieved from api.dhsprogram.com and bundled as swahili_health_mcp/data/kdhs2022_counties.json. Rebuild it with python scripts/refresh_kdhs.py (needs network; the server does not).
Not clinical advice and not an operational record. There is no facility register, disease surveillance or health-worker data here: earlier versions advertised some of those and did not deliver them (see below).

Changes in 0.2.0 (breaking)

Replaced synthetic demo numbers (identical for every county) with real KDHS 2022 county estimates.
Removed the demo facility list (unverified details). A real facility register (Kenya Master Health Facility List) is not integrated yet.
The README previously listed tools that never existed (get_disease_surveillance, get_health_worker_count, and others); the tool list above is exactly what the server exposes, and a test enforces it.
Moved from a hand-rolled JSON-RPC loop to FastMCP 4, which serves both the legacy and the stateless 2026-07-28 MCP protocol revisions.

IP & Collaboration

MIT licensed. Feedback via GitHub Issues only — pull requests are not accepted. Survey estimates are not suitable for clinical or 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.

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