elimu-mcp
elimu-mcp. That is what the elimu mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
MCP server for Kenya education system — school registry, KCSE/KCPE results lookup, HELB loans, TVET programs, and literacy resources. 5 tools.
elimu-mcp on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
The server publishes 1 tool. What each one is for:
Datasets — ** huggingface.co/gmahia · Docs hub: nairobi-stackThis sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Elimu's toolset — Datasets — is a fair guide to whether it matches your workflow. It is maintained by gabrielmahia; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Datasets | ** [huggingface.co/gmahia](https://huggingface.co/gmahia) · **Docs hub:** [nairobi-stack](https://github.com/gabrielmahia/nairobi-stack) |
{
"mcpServers": {
"elimu": {
"command": "uvx",
"args": ["elimu-mcp"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.