Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Ask a human before your agent acts: approval requests decided on a phone.
These three are never merged into one score: opinions, measurements and popularity are different things.
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.
QUIRNA_API_KEY, QUIRNA_REQUESTER_ID, QUIRNA_REQUESTER_NAME, QUIRNA_ENVIRONMENT, QUIRNA_WAIT_MS, QUIRNA_BASE_URLValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
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": {
"quirna": {
"command": "npx",
"args": [
"-y",
"@quirna/mcp"
],
"env": {
"QUIRNA_API_KEY": "your-value",
"QUIRNA_REQUESTER_ID": "your-value",
"QUIRNA_REQUESTER_NAME": "your-value",
"QUIRNA_ENVIRONMENT": "your-value",
"QUIRNA_WAIT_MS": "your-value",
"QUIRNA_BASE_URL": "your-value"
}
}
}
}Run this in your terminal
claude mcp add quirna --env QUIRNA_API_KEY=your-value --env QUIRNA_REQUESTER_ID=your-value --env QUIRNA_REQUESTER_NAME=your-value --env QUIRNA_ENVIRONMENT=your-value --env QUIRNA_WAIT_MS=your-value --env QUIRNA_BASE_URL=your-value -- npx -y @quirna/mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"quirna": {
"command": "npx",
"args": [
"-y",
"@quirna/mcp"
],
"env": {
"QUIRNA_API_KEY": "your-value",
"QUIRNA_REQUESTER_ID": "your-value",
"QUIRNA_REQUESTER_NAME": "your-value",
"QUIRNA_ENVIRONMENT": "your-value",
"QUIRNA_WAIT_MS": "your-value",
"QUIRNA_BASE_URL": "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": {
"quirna": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@quirna/mcp"
],
"env": {
"QUIRNA_API_KEY": "your-value",
"QUIRNA_REQUESTER_ID": "your-value",
"QUIRNA_REQUESTER_NAME": "your-value",
"QUIRNA_ENVIRONMENT": "your-value",
"QUIRNA_WAIT_MS": "your-value",
"QUIRNA_BASE_URL": "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.
QUIRNA_REQUESTER_ID envQUIRNA_REQUESTER_NAME envQUIRNA_ENVIRONMENT envQUIRNA_WAIT_MS envQUIRNA_BASE_URL 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 quirna, 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: QUIRNA_API_KEY
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 (0.1.2) reached the registry 41 days 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, Dialyne
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Real phone calls in France for AI agents: dial +33 numbers, menus, hold, AI disclosure.
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.
Ask a human before your agent acts. Official Quirna server for the Model Context Protocol.
Add one block of config and your agent gains a tool it can call before doing something consequential — a refund, a production deploy, a destructive migration. A named human approves it on their phone. The agent proceeds only if they said yes, and the decision is signed and kept.
Nothing moves until someone says yes.
Your agent's framework may already have a way to pause for confirmation. This is different in three ways that matter once it is not just you at the terminal:
Nothing to install: the config below runs it on demand with npx. To pin it, npm install -g @quirna/mcp and use quirna-mcp as the command.
The mobile app is in private beta. Decisions are made on the phone and
nowhere else — the Console configures policies and never decides one — so
without the app an approval request is created and then waits until it
expires. Write to hello@quirna.com and we will get you in. Everything
else below works today.
Then, in the Console:
ck_…), shown once.Claude Code — claude mcp add quirna --env QUIRNA_API_KEY=ck_… -- npx -y @quirna/mcp
Cursor (~/.cursor/mcp.json), Claude Desktop (claude_desktop_config.json) and most other clients take the same shape:
{
"mcpServers": { "quirna": { "command": "npx", "args": ["-y", "@quirna/mcp"], "env": { "QUIRNA_API_KEY": "ck_your_system_key", "QUIRNA_REQUESTER_NAME": "Ops Agent", "QUIRNA_ENVIRONMENT": "production" } } } }
| Variable | Default | What it does |
|---|---|---|
QUIRNA_API_KEY | — | Required. The System key from the Console. |
QUIRNA_REQUESTER_NAME | AI agent | The name an approver sees as having asked. |
QUIRNA_REQUESTER_ID | mcp | Stable id for this caller in the audit trail. |
QUIRNA_ENVIRONMENT | — | Applied when a call does not name one. |
QUIRNA_WAIT_MS | 90000 | How long a tool call waits before reporting back. |
QUIRNA_BASE_URL | https://api.quirna.com | Point at a self-hosted API. |
On the key. It lives in your agent client's config file, which is often in a dotfile and sometimes in a repo. Treat it as a deployment credential: give each agent its own System rather than sharing one, scope it in the Console to the kinds it may request, and rotate it there if the file gets somewhere it should not be. A System key can only *ask* — it can never approve anything.
request_approvalCreates the request and waits for a human.
| Argument | Required | |
|---|---|---|
kind | yes | The class of action, e.g. database_migration. Selects the policy. |
message | yes | One imperative line, shown as the headline on the phone. |
identifiers | no | Flat string key/values an approver needs: amounts, table names, hosts. |
environment | no | production, staging, … |
tier | no | routine, elevated, critical. Can only raise the policy's floor. |
Notably absent: who approves, how many are needed, how long it stays open. Those are the organization's to decide in the Console, once, for every caller — an agent that could pick its own approvers would not be a control.
check_approvalTakes an approval_id and waits for that existing request. Use it when request_approval came back still pending; calling request_approval again would put the same action in front of a second human.
Anything that is not `APPROVED` opens with `NOT AUTHORIZED`, followed by why, and by an explicit instruction not to perform the action. The structured result carries authorized: true | false for code that parses instead of reading.
Asking and getting an answer is a successful tool call, whatever the answer was — a denial is the product working, not a failure. isError is reserved for the cases where the tool could not run at all and nothing was learned: Quirna unreachable, a key rejected, the call aborted. So an agent can tell "a human said no" from "the approval system is down", which are opposite situations, and nothing invites it to retry a denial into a second person's hands.
An agent running unattended at 3am will hit this: the request expires and the action is never authorized. That is the correct outcome, not a bug to design around. If your agent needs to run without anyone awake, the answer is a policy whose condition does not require a human for that case — not a longer timeout.
Two timeouts are in play, and they are not the same:
@quirna/sdk — for calling Quirna from your own code insteadMIT © Quirna