Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Read + write MCP server for OpenEMIS — free open-source school management system. 675 resources.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
OPENEMIS_BASE_URL, OPENEMIS_API_KEY, OPENEMIS_USERNAME, OPENEMIS_PASSWORD, OPENEMIS_TIMEOUT_MS, OPENEMIS_CORE_IN_OPERATORValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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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-pro": {
"command": "npx",
"args": [
"-y",
"openemis-mcp-pro"
],
"env": {
"OPENEMIS_BASE_URL": "your-value",
"OPENEMIS_API_KEY": "your-value",
"OPENEMIS_USERNAME": "your-value",
"OPENEMIS_PASSWORD": "your-value",
"OPENEMIS_TIMEOUT_MS": "your-value",
"OPENEMIS_CORE_IN_OPERATOR": "your-value"
}
}
}
}Run this in your terminal
claude mcp add openemis-pro --env OPENEMIS_BASE_URL=your-value --env OPENEMIS_API_KEY=your-value --env OPENEMIS_USERNAME=your-value --env OPENEMIS_PASSWORD=your-value --env OPENEMIS_TIMEOUT_MS=your-value --env OPENEMIS_CORE_IN_OPERATOR=your-value -- npx -y openemis-mcp-proFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"openemis-pro": {
"command": "npx",
"args": [
"-y",
"openemis-mcp-pro"
],
"env": {
"OPENEMIS_BASE_URL": "your-value",
"OPENEMIS_API_KEY": "your-value",
"OPENEMIS_USERNAME": "your-value",
"OPENEMIS_PASSWORD": "your-value",
"OPENEMIS_TIMEOUT_MS": "your-value",
"OPENEMIS_CORE_IN_OPERATOR": "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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"openemis-pro": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"openemis-mcp-pro"
],
"env": {
"OPENEMIS_BASE_URL": "your-value",
"OPENEMIS_API_KEY": "your-value",
"OPENEMIS_USERNAME": "your-value",
"OPENEMIS_PASSWORD": "your-value",
"OPENEMIS_TIMEOUT_MS": "your-value",
"OPENEMIS_CORE_IN_OPERATOR": "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.
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OPENEMIS_USERNAME envOPENEMIS_TIMEOUT_MS envOPENEMIS_CORE_IN_OPERATOR envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 7, 2026
The registry name was verified with the GitHub account tixuz, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: OPENEMIS_BASE_URL, OPENEMIS_API_KEY, OPENEMIS_PASSWORD
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).
The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Tools MCP
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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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title: openemis-mcp-pro — Read + Write MCP Server for OpenEMIS School Management description: openemis-mcp-pro is the read and write MCP server that bridges AI assistants to the OpenEMIS school management information system — 678 resources, 3361 endpoints, 40 playbooks. keywords:
A natural-language bridge between MCP-aware agents (Claude, Codex, Cursor, etc.) and any OpenEMIS school — with full read + write access.
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-pro server adds full read + write access plus per-user authentication on top of any OpenEMIS school.
Translations: Русский · Español · हिन्दी · العربية
Built on top of the published OpenEMIS Core API (reference docs at api.openemis.org/core) and verified end-to-end against the public demo at [demo.openemis.org/core](https://demo.openemis.org/core) with real credentials, real data, real round-trips.
Ask in English:
*"How many current students are at Avory Primary?"*
The agent plans the calls, this MCP delivers the data, and you get the answer:
*"Avory Primary School (code P1002) has 553 currently enrolled students."*
You never write a line of code. You never see JSON. You just ask.
Status: v1.0.0 — full CRUD for non-workflow resources. Read queries work against every OpenEMIS v5 resource. Write tools (create/update/delete) are live for all resources that do not flow through the CakePHP Workflow plugin. Workflow-controlled resources (attendance, staff leave) are blocked at the tool level and redirect to the appropriate playbook.
openemis-mcp-pro is the read + write MCP server that connects AI assistants to the OpenEMIS school management system. It exposes 678 resources (students, attendance, risks, staff, exams, infrastructure) across 40 curated playbooks — 26 read and 14 write/auth. The pro distribution adds direct write tools (openemis_create, openemis_update, openemis_delete), HTTP server mode for ChatGPT Custom GPT, and per-user authentication on top of the free read-only distribution.
The OpenEMIS Core REST API is large — the v5 surface alone exposes 3,361 endpoints across 678 resources (Core 5.13.0). No AI agent can hold that in context, and raw Swagger-style introspection floods a conversation with noise that has nothing to do with the user's actual question.
This MCP solves that in two ways:
openemis_discover(topic) tool narrows to the ~20–30 endpoints relevant to what the user is actually asking about ("attendance", "students", "assessment") — powered by a small curated knowledge pack of Domain-*.md notes.openemis_get tool covers list + singleton + filtered search across every resource. The agent supplies resource + optional id + optional params (_fields, _conditions, orderby, page, limit) and the rest of the OpenEMIS CakePHP-style query DSL maps straight through.The net effect: agents answer natural-language questions in 2–4 tool calls, not 30.
| Tool | Since | What it does |
|---|---|---|
openemis_health | v0.1 | Pings the configured instance and reports reachability. Performs a real login round-trip — if this passes, CRUD will work. |
openemis_list_domains | v0.1 | Lists the curated OpenEMIS domains — Attendance, Assessment, Staff, Student, Institution, Schedule, Examination, Report — each with a one-line summary. The agent uses this to figure out *where* a question lives. |
openemis_discover | v0.1 | Input: a topic string. Output: up to 30 endpoints relevant to that topic, drawn from the domain knowledge pack and the per-instance manifest. Keeps conversations small regardless of how large the underlying API is. |
openemis_list_playbooks | v0.2 | Lists all 40 curated workflow playbooks with id, title, domain, and audience. The agent uses this to find the right step-by-step guide for a user-level task. |
openemis_get_playbook | v0.2 | Input: a playbook id. Output: the full playbook — resources, ordered steps, guidance notes, and example queries. |
openemis_get | v0.1 | Unified read tool. { resource, id?, params? } — if id is present, fetches the singleton; otherwise lists with any combination of _fields, _conditions, orderby, order, page, limit, plus any ad-hoc filter key. |
openemis_create | v0.3.0 | Create a new record. { resource, body } — non-workflow resources only. Workflow-controlled resources (e.g. institution-staff-leave) are blocked and will redirect to the appropriate playbook. |
openemis_update | v0.3.0 | Update an existing record by id. { resource, id, body } — non-workflow resources only. |
openemis_delete | v0.3.0 | Delete a record by id. { resource, id } — non-workflow resources only. |
A representative natural-language question like *"how many teachers at Avory Primary, how many vacant positions?"* resolves to three openemis_get calls — chained by the agent, narrowed by _conditions, delivered back as a single English answer. A write request like *"enrol a new student"* uses openemis_get_playbook to load the step-by-step guide, then openemis_create for each write step.
Tested against OpenEMIS Core 5.13.0 (master, June 2026). Earlier 5.7 – 5.12 deployments are also supported — the API surface is backwards-compatible.
openemis_get accepts params.ids = "1,2,3" for batch lookups. Core 5.10+ carries POCOR-9660 (?id=1,2,3 and _conditions= :IN(...) support in CrudApiController), so the handler collapses the batch into a single round-trip by default. Pointing at an older Core (5.7 – 5.9) without the native operator? Force the legacy parallel fan-out:
OPENEMIS_CORE_IN_OPERATOR=off
For composite-PK or view resources — where ids does not apply — use _conditions= :IN(1,2,3) instead; it filters any field by a value list and works regardless of this flag. Filtering on a field that does not exist on a resource now returns HTTP 400 (Core 5.10+, POCOR-9697), so use exact field names.
Every claim in this README was proven against the public demo instance before being written:
POST /api/v5/login with { username, password, api_key } → JWT cached, 331 charsGET /api/v5/institutions?limit=200&_fields=id,name,code → 24 institutions incl. "Avory Primary School" (id=6, code P1002)GET /api/v5/institution-students?institution_id=6&student_status_id=1&limit=1 → pagination reports last_page: 553 → 553 currently enrolled studentsGET /api/v5/academic-periods → 7 pages of real academic-year dataGET /api/v5/absence-types → EXCUSED, UNEXCUSED, LATE, etc.The sample scripts/smoke-login.mjs shipped with this repo performs the login test step-by-step so you can confirm reachability against your own instance before wiring it into Claude Code.
openemis-mcp speaks the Model Context Protocol over stdio — any MCP-compatible client works:
Stdio mode (local machine) — connects as a subprocess:
| Agent | How to connect |
|---|---|
Claude Code (claude CLI) | claude mcp add — primary tested client, all 9 tools available |
| Cursor | Add to .cursor/mcp.json — full tool access |
| Cline / Continue (VS Code) | Add server in MCP settings |
| Codex | Via gemmy-and-qwenny bridge |
| Any MCP client | Point at node dist/server.js with env vars set |
HTTP server mode (OPENEMIS_TRANSPORT=http, install once on Oracle/VPS) — connects by URL:
| Client | How to connect |
|---|---|
| Claude Code (remote) | claude mcp add --transport http --url http://your-server:3000/mcp --header "Authorization: Bearer " |
| Cursor / Cline | Add remote MCP URL in settings |
| ChatGPT (Custom GPT) | Import schema from http://your-server:3000/openapi.json → Actions → Bearer token |
| Any HTTP client | REST API at /api/* — see Teacher Guide |
Requires Node 22+ (for built-in fetch and AbortController) and Python 3.10+ (for the manifest builder and playbook generator scripts in mcp-openemis-gen/). The MCP server itself is Node-only; Python is only needed if you rebuild the manifest from source.
git clone https://github.com/tixuz/openemis-mcp.git
cd openemis-mcp
npm install npm run build
cp .env.example .env $EDITOR .env
.env.example documents every variable. At minimum you need the three credentials your OpenEMIS admin issues:
OPENEMIS_BASE_URL=https://demo.openemis.org/core # or your own instance
OPENEMIS_USERNAME=admin OPENEMIS_PASSWORD=your_password OPENEMIS_API_KEY=your_api_key
OPENEMIS_TIMEOUT_MS=30000 OPENEMIS_VAULT_PATH=/absolute/path/to/domain-notes OPENEMIS_MANIFEST_PATH=/absolute/path/to/manifest.jsonl
The server logs in lazily on the first authenticated tool call, POSTing to /api/v5/login, parsing the JWT out of data.token, and caching it in memory. On a 401 it re-logs in and retries once.
OPENEMIS_VAULT_PATH points at the folder containing the curated Domain-*.md notes used by openemis_discover. If missing, discovery degrades gracefully to keyword matching against the manifest alone.
OPENEMIS_MANIFEST_PATH points at the JSONL output of the companion builder in ../mcp-openemis-gen/. If absent, the discovery tools return a friendly "manifest not built yet" hint — they don't crash.
set -a && source .env && set +a
node scripts/smoke-login.mjs
Expected:
[Test] Loading config...
[OK] Config loaded: baseUrl=https://demo.openemis.org/core [Test] Creating client... [OK] Client created [Test] Attempting login... [OpenEMIS] Login successful; cached JWT (331 chars) [OK] Login successful
claude mcp add openemis \
--env OPENEMIS_BASE_URL="https://your-openemis/core" \ --env OPENEMIS_USERNAME="…" \ --env OPENEMIS_PASSWORD="…" \ --env OPENEMIS_API_KEY="…" \ --env OPENEMIS_VAULT_PATH="/absolute/path/to/vault" \ -- node "$(pwd)/dist/server.js"
claude mcp list | grep openemis
Any new Claude Code session in this project will see all nine tools automatically.
Set OPENEMIS_TRANSPORT=http to run as a persistent HTTP server instead of a local subprocess. Install once on your server; every MCP-compatible client (Claude Code, Cursor, Cline, Windsurf) connects by URL.
On your server:
git clone https://github.com/tixuz/openemis-mcp-pro.git
cd openemis-mcp-pro npm install && npm run build cp .env.example .env $EDITOR .env
Only the beginning is shown; read the rest in the repo