Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Starter kit for small businesses: A2A agent card, MCP server card, example MCP server, validator.
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.
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": {
"agent-card-starter": {
"command": "uvx",
"args": [
"agent-card-starter"
]
}
}
}Run this in your terminal
claude mcp add agent-card-starter -- uvx agent-card-starterPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"agent-card-starter": {
"command": "uvx",
"args": [
"agent-card-starter"
]
}
}
}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": {
"agent-card-starter": {
"type": "stdio",
"command": "uvx",
"args": [
"agent-card-starter"
]
}
}
}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.
These 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 flowboxx, 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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 (0.2.2) reached the registry 7 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Qemu MCP
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.
Boot and drive QEMU VMs from an AI agent: keys, screenshots, serial. No guest agent.
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.
Write and check the machine-readable card that makes a small business readable for AI assistants. Its WordPress sibling, Open Door for AI Assistants, goes one step further: an AI assistant will be able to leave an inquiry for the business, and the business gets it as an e-mail (inquiry service coming soon).
In 60 seconds: AI assistants read a small JSON file to learn what your business does. This tool writes that file for you and checks it. Offline, no account, no dependencies.
pip install agent-card-starter
agent-card init --name "Muster Roofing Ltd" --description "Roofer in Musterstadt, repairs and new roofs." --website https://www.example.com --skill "Flat roof sealing" agent-card validate .well-known/agent-card.json --strict
Upload the file to https:// /.well-known/agent-card.json and you are readable. Nothing here guarantees that an assistant will mention you.
In 60 Sekunden: KI-Assistenten lesen eine kleine Datei, um zu erfahren, was Ihr Betrieb macht. Dieses Werkzeug schreibt die Datei und prüft sie. Ohne Netz, ohne Konto, ohne Fremdpakete. Befehle siehe oben, die Datei kommt nach https:// /.well-known/agent-card.json.
Starter kit to make a small business readable and reachable for AI assistants: an A2A agent card, an MCP server card, a minimal MCP example server and a validator. Standard library only, Python 3.9+, MIT licensed.
Starter-Set, damit ein kleiner Betrieb für KI-Assistenten lesbar und erreichbar wird: Agentenkarte (A2A), Server-Karte (MCP), ein minimaler MCP-Beispielserver und ein Prüfskript. Nur Python-Standardbibliothek, ab Python 3.9, MIT-Lizenz.
Maintained by flowboxx, an agency that builds AI doors for businesses. Gepflegt von flowboxx, einer Agentur, die KI-Türen für Betriebe baut.
| Path | What it is |
|---|---|
examples/well-known/agent-card.json | A2A agent card for a fictional "Beispiel Dachdecker GmbH" |
examples/well-known/agent.json | Byte-identical copy for older readers |
examples/agent-card.annotated.jsonc | Same card with comments (documentation only) |
examples/mcp-server-card.json | MCP server card for the same business |
templates/ | Blank-ish templates: server card and AI catalog |
server/mcp_server.py | MCP example server over stdio: tools leistungen and anfrage_anlegen (stub) |
agent_card/ | The agent-card command: init writes a first card, validate checks card, server card and catalog (offline) |
tools/validate_agent_card.py | Same validator as a plain script |
tests/ | pytest suite |
agent-card init --name "Your Business" --description "What you do and where." --website https://www.example.com
agent-card validate .well-known/agent-card.json --strict
python3 tools/validate_agent_card.py examples/well-known/agent-card.json python3 tools/validate_agent_card.py examples/mcp-server-card.json --strict printf '{"jsonrpc":"2.0","id":1,"method":"tools/list"}\n' | python3 server/mcp_server.py python3 -m pip install pytest && python3 -m pytest -q docker build -t agent-card-starter . && docker run -i --rm agent-card-starter # MCP over stdio
examples/well-known/agent-card.json, replace name, description, provider, skills.https:// /.well-known/agent-card.json.supportedInterfaces at an endpoint you really operate. The example server speaks MCP over stdio for learning. A public endpoint needs HTTP transport, rate limiting, spam protection and a privacy notice. anfrage_anlegen is a stub on purpose.supportedInterfaces, skills, provider).| Pfad | Inhalt |
|---|---|
examples/well-known/agent-card.json | A2A-Agentenkarte für die fiktive "Beispiel Dachdecker GmbH" |
examples/well-known/agent.json | Byte-gleiche Kopie für ältere Leser |
examples/agent-card.annotated.jsonc | Dieselbe Karte mit Kommentaren (nur zur Erklärung) |
examples/mcp-server-card.json | MCP-Server-Karte für denselben Betrieb |
templates/ | Vorlagen: Server-Karte und KI-Katalog |
server/mcp_server.py | MCP-Beispielserver über stdio: Werkzeuge leistungen und anfrage_anlegen (Stub) |
agent_card/ | Der Befehl agent-card: init schreibt eine erste Karte, validate prüft Karte, Server-Karte und Katalog (ohne Netz) |
tools/validate_agent_card.py | Dasselbe Prüfskript als einfache Datei |
tests/ | pytest-Tests |
agent-card init --name "Ihr Betrieb" --description "Was Sie tun und wo." --website https://www.example.com
agent-card validate .well-known/agent-card.json --strict
python3 tools/validate_agent_card.py examples/well-known/agent-card.json python3 tools/validate_agent_card.py examples/mcp-server-card.json --strict printf '{"jsonrpc":"2.0","id":1,"method":"tools/list"}\n' | python3 server/mcp_server.py python3 -m pip install pytest && python3 -m pytest -q docker build -t agent-card-starter . && docker run -i --rm agent-card-starter # MCP over stdio
examples/well-known/agent-card.json kopieren, Name, Beschreibung, Anbieter und Fähigkeiten ersetzen.https:// /.well-known/agent-card.json ablegen.supportedInterfaces auf einen Endpunkt zeigen lassen, den Sie wirklich betreiben. Der Beispielserver spricht MCP über stdio zum Lernen. Ein öffentlicher Endpunkt braucht HTTP, Mengenbegrenzung, Spam-Schutz und einen Datenschutzhinweis. anfrage_anlegen ist absichtlich ein Stub und speichert nichts.supportedInterfaces, skills, provider).If you published a card with this kit, show it in Discussions, Show and tell. We read every one. If you like, add the badge to your README:
Wenn Sie mit diesem Kit eine Karte veröffentlicht haben, zeigen Sie sie unter Discussions, Show and tell. Das Abzeichen für Ihre README:
[](https://github.com/flowboxx/agent-card-starter)
This is a starting point, provided "as is" under the MIT license, without warranty of any kind. Standards around agent cards and server cards are young and change. Check the current specifications before you publish. Nothing here is legal advice, and nothing guarantees that an assistant will mention or recommend your business. Changes are listed in CHANGELOG.md, how to help is in CONTRIBUTING.md.
Dies ist ein Ausgangspunkt, bereitgestellt "wie besehen" unter der MIT-Lizenz, ohne Gewähr. Die Standards rund um Agentenkarten und Server-Karten sind jung und ändern sich. Prüfen Sie vor dem Veröffentlichen die aktuellen Spezifikationen. Nichts hier ist Rechtsberatung, und nichts garantiert, dass ein Assistent Ihren Betrieb nennt oder empfiehlt. Änderungen stehen in CHANGELOG.md, Mitmachen steht in CONTRIBUTING.md.
MIT License, see LICENSE. Questions and contributions welcome via issues. Fragen und Beiträge gern als Issue.
Built and maintained by flowboxx, Germany.