openemis-mcp

Free, read-only MCP bridge between AI agents and any OpenEMIS instance.

Built on the published OpenEMIS Core API (reference: api.openemis.org/core) and verified against the public demo at demo.openemis.org/core.

Ask in plain English:

"How many current students are at Avory Primary?"

The agent plans the calls, this MCP delivers the data:

"Avory Primary School has 97 currently enrolled students across 6 classes."

No code. No JSON. Just ask.

What's included (free, MIT)

24 curated playbooks covering attendance, assessment, student profiles, staff profiles, infrastructure, meals, risk dashboards, class reports, timetables, and more — each verified against the v5 manifest at 100% resource coverage.

Translations available: Russian · Spanish · Hindi · Arabic — all 24 playbooks in all four languages.

✏️ Write operations (creating/updating records in OpenEMIS) require openemis-mcp-pro. This free server is intentionally read-only — post, put, and delete are not available.

What's in Pro

openemis-mcp-pro adds write tools, remote hosting, and ChatGPT compatibility on top of this free read-only server.

HTTP server mode lets you install Pro once on an Oracle Always Free ARM instance and connect from any device — no per-machine setup. The built-in OpenAPI adapter means teachers can use ChatGPT (or any AI assistant) to mark attendance and look up student records by importing a single schema URL. See the ChatGPT Teacher Guide for step-by-step setup.

→ Pricing: khindol.madraimov@gmail.com

Install

Requires Node 22+.

git clone https://github.com/tixuz/openemis-mcp.git
cd openemis-mcp
npm install
npm run build
cp .env.example .env
$EDITOR .env

Configure

OPENEMIS_BASE_URL=https://demo.openemis.org/core
OPENEMIS_USERNAME=admin
OPENEMIS_PASSWORD=your_password
OPENEMIS_API_KEY=your_api_key

Smoke test

set -a && source .env && set +a
node scripts/smoke-login.mjs

Register with Claude Code

claude mcp add openemis \
  --env OPENEMIS_BASE_URL="https://your-instance/core" \
  --env OPENEMIS_USERNAME="…" \
  --env OPENEMIS_PASSWORD="…" \
  --env OPENEMIS_API_KEY="…" \
  -- node "$(pwd)/dist/server.js"

Works with any MCP-compatible client: Claude Code, Cursor, Cline, Codex (via gemmy-and-qwenny), or any stdio MCP client.

Verbose logging (optional)

Capture every tool call and its response as JSONL — useful for debugging, tuning playbooks, or sharing a bug report.

# stderr (visible in your MCP client's log panel)
OPENEMIS_LOG_VERBOSE=1 node dist/server.js

# write to a file
OPENEMIS_LOG_VERBOSE=1 OPENEMIS_LOG_FILE=/tmp/openemis.jsonl node dist/server.js

Each line is a JSON object: {ts, type:"tool_call"|"tool_result"|"tool_error", tool, args?, result?, latency_ms, ...}. Credential-shaped keys (password, authorization, api_key, token, secret) are redacted automatically.

⚠️ Privacy: tool_result entries contain the actual OpenEMIS data returned to the agent — student names, staff IDs, enrollment details. Enable only on instances you own, or with explicit consent. Default is OFF.

🌐 Remote / server install: openemis-mcp-pro adds an HTTP server mode — install once on Oracle Always Free and every AI assistant (Claude Code, Cursor, ChatGPT) connects by URL with no per-machine setup. See the ChatGPT Teacher Guide for how to let teachers mark attendance via ChatGPT.

Playbooks

24 curated workflow guides — see docs/playbooks/:

Architecture

Agent (Claude / Cursor / Codex / …)
        │ MCP stdio
openemis-mcp  ←  6 read tools + 24 playbooks
        │ HTTPS + Bearer JWT
OpenEMIS Core API  /api/v5/{resource}

Domain-scoped discovery keeps conversations small — openemis_discover("attendance") returns the 20–30 endpoints relevant to attendance, not all 1,350.

🖥️ Server / HTTP mode (install once on Oracle, connect from anywhere including ChatGPT) is available in openemis-mcp-pro.

Docs

• Resource Reference — all 645 resources with method availability
• Playbooks — 24 workflow guides in English, Russian, Spanish, Hindi, and Arabic
• ACKNOWLEDGEMENTS.md — the AI team that built this

Licence

MIT © 2026 Khindol Madraimov

Not affiliated with OpenEMIS or its maintainers. Third-party bridge to the public Core API. Credentials stay on your machine.