Openemis

Name: Openemis
Author: tixuz

by tixuzversion 1.1.0i★ –iRuns on your computer

Registry nameio.github.tixuz/openemis

Install

Overview

Description from the maker (original English)

Read-only MCP server for OpenEMIS — free open-source school management system. 675 resources.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other
You need to fill in: OPENEMIS_BASE_URL, OPENEMIS_USERNAME, OPENEMIS_PASSWORD, OPENEMIS_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: OPENEMIS_BASE_URL, OPENEMIS_USERNAME, OPENEMIS_PASSWORD, OPENEMIS_API_KEY, OPENEMIS_TIMEOUT_MS, OPENEMIS_LOG_VERBOSE, OPENEMIS_LOG_FILE

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "openemis": {
      "command": "npx",
      "args": [
        "-y",
        "openemis-mcp"
      ],
      "env": {
        "OPENEMIS_BASE_URL": "your-value",
        "OPENEMIS_USERNAME": "your-value",
        "OPENEMIS_PASSWORD": "your-value",
        "OPENEMIS_API_KEY": "your-value",
        "OPENEMIS_TIMEOUT_MS": "your-value",
        "OPENEMIS_LOG_VERBOSE": "your-value",
        "OPENEMIS_LOG_FILE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add openemis --env OPENEMIS_BASE_URL=your-value --env OPENEMIS_USERNAME=your-value --env OPENEMIS_PASSWORD=your-value --env OPENEMIS_API_KEY=your-value --env OPENEMIS_TIMEOUT_MS=your-value --env OPENEMIS_LOG_VERBOSE=your-value --env OPENEMIS_LOG_FILE=your-value -- npx -y openemis-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "openemis": {
      "command": "npx",
      "args": [
        "-y",
        "openemis-mcp"
      ],
      "env": {
        "OPENEMIS_BASE_URL": "your-value",
        "OPENEMIS_USERNAME": "your-value",
        "OPENEMIS_PASSWORD": "your-value",
        "OPENEMIS_API_KEY": "your-value",
        "OPENEMIS_TIMEOUT_MS": "your-value",
        "OPENEMIS_LOG_VERBOSE": "your-value",
        "OPENEMIS_LOG_FILE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "openemis": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "openemis-mcp"
      ],
      "env": {
        "OPENEMIS_BASE_URL": "your-value",
        "OPENEMIS_USERNAME": "your-value",
        "OPENEMIS_PASSWORD": "your-value",
        "OPENEMIS_API_KEY": "your-value",
        "OPENEMIS_TIMEOUT_MS": "your-value",
        "OPENEMIS_LOG_VERBOSE": "your-value",
        "OPENEMIS_LOG_FILE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

OPENEMIS_BASE_URL required env
Base URL of your OpenEMIS instance (e.g., https://demo.openemis.org/core)
OPENEMIS_USERNAME required env
OpenEMIS login username
OPENEMIS_PASSWORD secret required env
OpenEMIS login password
OPENEMIS_API_KEY secret required env
OpenEMIS API key (issued by the OpenEMIS admin)
OPENEMIS_TIMEOUT_MS env
Request timeout in milliseconds (default 30000)
OPENEMIS_LOG_VERBOSE env
Set to 1 to log every tool call and result as JSONL. OFF by default. Results contain tenant PII — enable only on instances you own.
OPENEMIS_LOG_FILE env
Path to write verbose JSONL log. If empty and OPENEMIS_LOG_VERBOSE=1, logs go to stderr.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account tixuz, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32476 servers in this category
Published to the registry more recently than 9% of the other 32476 servers in this category
Basic checks equal to or better than 100% of the other 32476 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Openemis safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: OPENEMIS_BASE_URL, OPENEMIS_USERNAME, OPENEMIS_PASSWORD, OPENEMIS_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, zanadir

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

title: "openemis-mcp — AI bridge for OpenEMIS school management" description: "Free, read-only MCP server that connects AI assistants to OpenEMIS school management. Query student attendance, risks, staff, and 678 resources." keywords:

OpenEMIS
school management system
education management
student attendance
student risks
MCP server

openemis-mcp — AI bridge for OpenEMIS school management

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

OpenEMIS is a free, open-source school management information system developed by UNESCO and KORDIT. It runs the day-to-day administration of every kind of educational institution — kindergartens, primary schools, secondary schools, secondary vocational institutions, technical colleges, and universities — managing students, staff, attendance, assessment, infrastructure, meals, scholarships, examinations, training, and ministry-level reporting. This MCP gives AI agents read-only access to the data in any OpenEMIS school so you can ask questions in plain English and get answers in seconds.

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

What this is: openemis-mcp is a free MCP server that connects AI assistants (Claude, Cursor, Codex) to the OpenEMIS school management system. It exposes 678 resources — students, student attendance, student risks, staff, exams, infrastructure — across 26 curated read-only playbooks, plus 14 redirect stubs for write operations.

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)

Tool	What it does
`openemis_health`	Ping the configured instance — real login round-trip
`openemis_list_domains`	List the 9 curated domains (Attendance, Assessment, Staff, Student…)
`openemis_discover`	Topic → up to 30 scoped endpoints. Keeps conversations small
`openemis_list_playbooks`	List all 40 playbooks — 26 read-only here, 14 stubs that redirect to mcp-pro
`openemis_get_playbook`	Load a playbook by id — full steps, resources, gotcha notes
`openemis_get`	Unified read: list or singleton, any resource, any filter

26 read-only playbooks covering attendance, assessment, student profiles, staff profiles, infrastructure, meals, risk dashboards, class reports, timetables, audit logs, school accreditation / registration, admission and enrolment queue state, and a primer on how the OpenEMIS workflow plugin powers every multi-step approval — each verified against the v5 manifest at 100% resource coverage. 14 additional playbook stubs are discoverable here but redirect to [openemis-mcp-pro](https://github.com/tixuz/openemis-mcp-pro) for the actual write/auth steps.

Translations: Русский · Español · हिन्दी · العربية — the original 17 view playbooks also translated in all four languages; 9 newer playbooks (added in v1.1.0 for Core 5.10.0, plus the two workflow playbooks) are English-only for now.

✏️ Write operations (creating/updating records in OpenEMIS) require [openemis-mcp-pro](https://github.com/tixuz/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.

	Free	Individual Pro	Institution Pro	Country Pro
Read tools (all 678 resources, Core 5.13.0)	✅	✅	✅	✅
26 read playbooks (17 × 5 languages + 9 EN)	✅	✅	✅	✅
14 write / auth playbooks (mark-attendance, enrol, set-accreditation…)	stub	✅	✅	✅
stdio mode (Claude Code, Cursor, Cline)	✅	✅	✅	✅
HTTP server mode (Oracle / VPS — install once, connect by URL)	—	✅	✅	✅
OpenAPI adapter (ChatGPT Custom GPT, any REST client)	—	✅	✅	✅
Direct write — single record	—	✅	✅	✅
Institution audit trail	—	—	✅	✅
Workflow route execution	—	—	✅	✅
Institution-admin approval gate	—	—	✅	✅
Batch ops within one institution	—	—	✅	✅
Multi-institution batch ops	—	—	—	✅
Ministry approval gates	—	—	—	✅
Cross-institution oversight	—	—	—	✅

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 read-only workflow guides — see docs/playbooks/. Write-side playbooks (mark attendance, enrol a student, set school accreditation, etc.) are discoverable here as stubs that point at [openemis-mcp-pro](https://github.com/tixuz/openemis-mcp-pro).

Read playbooks (school data lookups)

#	Playbook	Domain	Translations
1	Count Vacant Positions	Staff	RU · ES · HI · AR
2	View Student Timetable	Schedule	RU · ES · HI · AR
3	Student Dashboard	Student	RU · ES · HI · AR
4	Institution Summary	Institution	RU · ES · HI · AR
5	View Latest Attendance	Attendance	RU · ES · HI · AR
6	View Student Profile	Student	RU · ES · HI · AR
7	View Student Marks	Assessment	RU · ES · HI · AR
8	View Class Report	Report	RU · ES · HI · AR
9	View Timetable	Schedule	RU · ES · HI · AR
10	View Full Institution Profile	Institution	RU · ES · HI · AR
11	View Full Class Profile	Student	RU · ES · HI · AR
12	View a Staff Member's Full Profile	Staff	RU · ES · HI · AR
13	Enhance Student Profile	Student	RU · ES · HI · AR
14	View Institution Infrastructure	Institution	RU · ES · HI · AR

| 15 | [View Institution Meals](docs/playbooks/view-instituti

Only the beginning is shown; read the rest in the repo

Openemis

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

zanadir

README from the maker

openemis-mcp — AI bridge for OpenEMIS school management

What's included (free, MIT)

What's in Pro

Install

Configure

Smoke test

Register with Claude Code

Verbose logging (optional)

write to a file

Playbooks

Read playbooks (school data lookups)