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PopNx MCPMCP servers for people who use AI · explained in plain words

Agent Card Starter

by flowboxxversion 0.2.2i★ –iRuns on your computer
Registry nameio.github.flowboxx/agent-card-starter

Install

Overview

Description from the maker (original English)

Starter kit for small businesses: A2A agent card, MCP server card, example MCP server, validator.

PopNx MCP’s three pillars

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

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

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).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

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-starter

Open in Cursor

Or copy the settings yourself

Paste 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.

Open in VS Code

Or copy the settings yourself

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.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account flowboxx, 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 18354 servers in this category
  • Published to the registry more recently than 85% of the other 18354 servers in this category
  • Basic checks equal to or better than 100% of the other 18354 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 Agent Card Starter 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (0.2.2) reached the registry 7 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

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

Alternatives

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

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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Qemu MCP

by 0xmortuex

Boot and drive QEMU VMs from an AI agent: keys, screenshots, serial. No guest agent.

Runs on your computerUpdated today
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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.

agent-card-starter

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.


English

What is in here
PathWhat it is
examples/well-known/agent-card.jsonA2A agent card for a fictional "Beispiel Dachdecker GmbH"
examples/well-known/agent.jsonByte-identical copy for older readers
examples/agent-card.annotated.jsoncSame card with comments (documentation only)
examples/mcp-server-card.jsonMCP server card for the same business
templates/Blank-ish templates: server card and AI catalog
server/mcp_server.pyMCP 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.pySame validator as a plain script
tests/pytest suite
Quick start
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

from a clone, without installing:

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

Use it for your business
  1. Copy examples/well-known/agent-card.json, replace name, description, provider, skills.
  2. List only services you really offer. One skill per service, stable ids.
  3. Keep prices, phone numbers and promises out of the card. A human answers those.
  4. Run the validator, publish the file at https:// /.well-known/agent-card.json.
  5. Point 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.
Notes on the standards
  • The agent card follows the A2A v1.0 field names (supportedInterfaces, skills, provider).
  • The server card follows the MCP Server Card proposal (SEP-2127). It is an extension and the schema may still change. Check the current schema before you publish.
  • The validator checks required fields and a few sanity rules. It is not a full JSON Schema validation.
  • Nothing here guarantees that an assistant will mention or recommend you.

Deutsch

Was drin ist
PfadInhalt
examples/well-known/agent-card.jsonA2A-Agentenkarte für die fiktive "Beispiel Dachdecker GmbH"
examples/well-known/agent.jsonByte-gleiche Kopie für ältere Leser
examples/agent-card.annotated.jsoncDieselbe Karte mit Kommentaren (nur zur Erklärung)
examples/mcp-server-card.jsonMCP-Server-Karte für denselben Betrieb
templates/Vorlagen: Server-Karte und KI-Katalog
server/mcp_server.pyMCP-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.pyDasselbe Prüfskript als einfache Datei
tests/pytest-Tests
Schnellstart
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

aus einem Klon, ohne Installation:

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

Für den eigenen Betrieb nutzen
  1. examples/well-known/agent-card.json kopieren, Name, Beschreibung, Anbieter und Fähigkeiten ersetzen.
  2. Nur Leistungen eintragen, die Sie wirklich anbieten. Eine Fähigkeit je Leistung, stabile Ids.
  3. Keine Preise, Telefonnummern oder Zusagen in die Karte. Das beantwortet ein Mensch.
  4. Prüfskript laufen lassen, Datei unter https:// /.well-known/agent-card.json ablegen.
  5. 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.
Hinweise zu den Standards
  • Die Agentenkarte folgt den Feldnamen von A2A v1.0 (supportedInterfaces, skills, provider).
  • Die Server-Karte folgt dem MCP-Vorschlag Server Card (SEP-2127). Das ist eine Erweiterung, das Schema kann sich noch ändern. Vor dem Veröffentlichen das aktuelle Schema prüfen.
  • Das Prüfskript prüft Pflichtfelder und einige Plausibilitäten, keine vollständige JSON-Schema-Validierung.
  • Nichts hier garantiert, dass ein Assistent Sie nennt oder empfiehlt.

Built with this? Tell us / Damit gebaut? Erzählen Sie es uns

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:

[![built with agent-card-starter](https://img.shields.io/badge/built%20with-agent--card--starter-2b6cb0)](https://github.com/flowboxx/agent-card-starter)

As is / Ohne Gewähr

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.

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