A2A, the Agent-to-Agent protocol, is the next step after MCP: it's not just one AI system talking to your platform, but agents talking to each other – shopping agents with storefront agents, support agents with backend agents. Laioutr builds its frontend and its administration layer so they can take part in these conversations as soon as they become relevant.
A2A FOR AGENT-TO-AGENT
Your frontend, ready to talk to any agent.
Agent-to-agent communication is still young – Laioutr is ready for it today, in the frontend and in the administration layer alike.
A maturity topic we actively track and prepare for · Laioutr · Berlin
Agents are starting to talk to other agents
Early protocols like Google's A2A show how agents can delegate tasks to each other and exchange information without a human orchestrating every step. It's still a young field, but the direction is clear.
Open standards instead of closed agent silos
For agents from different vendors to genuinely work together, they need a shared language instead of proprietary one-off solutions. That's exactly what the A2A idea promises, and exactly what we're preparing for, instead of betting on a closed solution of our own.
Frontends become conversation partners, not just display surfaces
As customers increasingly use agents for research or purchasing, a frontend needs to be not just readable for humans, but addressable for agents too. That changes how a platform should be built, starting now, not only once the standard is finished.
The definition
What does agent-to-agent mean at Laioutr?
Agent-to-agent (A2A) describes protocols through which autonomous AI agents negotiate directly with each other, delegate tasks, and exchange results, without a human steering every single interaction. A shopping agent could talk directly to a store's agent, a support agent to a supplier's agent.
At Laioutr, that means both the frontend that customers and their agents see, and the administration layer your team and your partner systems work through, are built so they can plug into these conversations once a mature standard and real use cases exist for it.
Schema foundation - already in place
Component schemas, a permission model, and structured data already exist at Laioutr through MCP. That's exactly the foundation A2A readiness can build on once the standard matures.
What that means:
No rebuild from scratch, just an extension of an existing, open foundation.
Frontend side - addressable by external agents
Because every section and every block has a clear schema, an external agent, say a shopping assistant used by your customers, can in principle read your frontend in a structured way instead of only interpreting it visually.
What that means:
Your storefront isn't just built for humans, it's machine-readable from the ground up.
Administration side - ready to coordinate
The same openness applies to the administration layer: an internal or partner agent can coordinate with your platform through the same interfaces MCP clients already use today.
What that means:
Not just the frontend, the control layer behind it is conversation-ready too.
Backend agnosticism - any agent, any system
Because Orchestr connects data from any backend and serves any frontend component from any library, no new dependency appears when agents enter the picture, the architecture stays the same.
What that means:
A2A readiness isn't a separate project, it's a logical continuation of the same principles.
Watching closely - building alongside, not behind
We actively track A2A and comparable protocols, talk to the community, and test early concepts internally. That way Laioutr can introduce capabilities as soon as they make sense for real customer use cases, instead of retrofitting a finished standard after the fact.
What that means:
Maturity over sales promises, we're honest about where this topic actually stands today.
Every generation solved a real problem. The next generation solves the problem between agents themselves: that systems today can talk to humans and to individual AI clients, but not yet to each other on their own. We're preparing our frontend and our administration for that today.
IDEAS & OUTLOOK
What agent-to-agent conversations could one day enable
The examples below are thought experiments, not announced features. They're meant to show the direction this topic could develop in, once standards and use cases mature.
How much of this actually becomes reality depends on the community, the protocols, and your own use cases. Laioutr actively tracks the development and keeps both frontend and administration open for it.
Welcome shopping agents
An AI assistant that customers use for product research could negotiate directly with your storefront's agent, availability, variants, pricing, without a detour through generic webpage scraping.
Coordinate support agents
A support agent on your side could hand off an incident to a logistics or payment partner's agent and get the status back directly, instead of manual ticket forwarding.
Sync partner catalogs
Agents from marketplaces, brands, or suppliers could reconcile product data and availability among themselves, without every side maintaining its own integration.
Align internal systems
A content agent and a pricing agent within your own system landscape could reconcile decisions directly with each other, for instance linking a campaign to the matching price rules, instead of a manual handoff point.
Automate negotiation, within limits
It's conceivable that agents could take on smaller negotiations within firmly defined rules, for instance aligning delivery dates, always within the guardrails a human set beforehand.
Let ecosystems of agents emerge
The more systems speak through open protocols, the more likely networks of specialized agents working together become, much like APIs connect entire software landscapes today.
Architecture
How we're preparing technically
For the tech leads in the room: not a finished A2A product, but a deliberate architecture decision.
Because Laioutr already exposes schema, permissions, and structure through MCP, A2A readiness doesn't require a new foundation. Once a solid standard and real use cases emerge, agent-to-agent communication can be added on exactly this basis, in the frontend and in the administration layer alike.
Clear boundaries
What A2A at Laioutr is not
So expectations stay realistic, three clarifications on a topic that's still in motion.
Compare differences | Nicht das | Sondern das |
|---|---|---|
Was A2A bei Laioutr nicht ist Damit die Erwartungen realistisch bleiben — drei Klarstellungen zu einem Thema, das noch in Bewegung ist. | ||
Ein fertiges Produkt-Feature Der Unterschied zwischen einem fertigen Schalter zum Aktivieren und einem Reifegrad, an dem wir aktiv arbeiten. | Ein fertiges Feature, das du morgen aktivierst. A2A-Standards sind selbst noch jung — Versprechen wären verfrüht. | Ein Reifegrad-Thema: eine Architektur, die heute schon vorbereitet ist und die wir mit dem Standard weiterentwickeln. |
Autonome Agenten ohne Kontrolle Warum Offenheit für Agenten kein Kontrollverlust bedeutet. | Agenten, die eigenständig und unkontrolliert Entscheidungen für dich treffen. Governance bleibt bei dir, auch wenn Agenten miteinander sprechen. | Dieselben Guardrails und Rechte-Modelle, die schon bei MCP gelten — Agenten arbeiten innerhalb klar gesetzter Grenzen, auch untereinander. |
Ein Ersatz für MCP Wie A2A und MCP zusammenspielen, statt sich zu ersetzen. | Ein Ersatz für die MCP-Schnittstelle. Agent-zu-Plattform und Agent-zu-Agent sind unterschiedliche Fragen mit unterschiedlichen Antworten. | Eine Ergänzung: MCP verbindet Agenten mit der Plattform, A2A würde Agenten miteinander verbinden — beides baut auf demselben offenen Fundament auf. |
FOR WHOM
Who is this relevant for, even while A2A is still early?
Teams that think automation ahead
A fit if:
You already work with MCP or similar interfaces today and want to know where this topic is heading.
You build your own agents and want to understand early how agent-to-agent communication could affect your architecture.
You're ready to experiment with a topic that's still in motion.
Organizations with many connected systems
A fit if:
You coordinate many internal and external systems that today are still connected through manual handoffs.
You value open standards over closed point solutions for the long run.
You want a platform whose architecture doesn't need rebuilding once agent protocols take hold.
Agencies & technical partners
A fit if:
You want to advise clients on future readiness instead of short-term fixes.
You want to build competence early in a topic that will become more relevant over the next years.
You want to recommend a platform that actively tracks this development instead of missing it.
Teams that think automation ahead
A fit if:
- You already work with MCP or similar interfaces today and want to know where this topic is heading.
- You build your own agents and want to understand early how agent-to-agent communication could affect your architecture.
- You're ready to experiment with a topic that's still in motion.
Organizations with many connected systems
A fit if:
- You coordinate many internal and external systems that today are still connected through manual handoffs.
- You value open standards over closed point solutions for the long run.
- You want a platform whose architecture doesn't need rebuilding once agent protocols take hold.
Agencies & technical partners
A fit if:
- You want to advise clients on future readiness instead of short-term fixes.
- You want to build competence early in a topic that will become more relevant over the next years.
- You want to recommend a platform that actively tracks this development instead of missing it.
WHAT WE BUILD ON
The principles A2A readiness is built on
Open standard
We build on MCP and actively track A2A, instead of closed point solutions
You define the scope
Governance first
Permissions and guardrails apply to every agent, even when talking to other agents
No vendor lock-in
Model and system freedom
Backend-agnostic, frontend-agnostic, protocol-open
Via API, script, or agent
Honest communication
We call a maturity topic a maturity topic, not a finished feature
Every change stays schema-valid
FAQ
The category is new, so questions come up — we answer the most important ones here
Not as a finished, marketed feature. What already exists today is the open schema and permission foundation via MCP, which A2A readiness can build on once the standard and real use cases are mature enough.
MCP connects an AI agent to your platform (agent-to-platform). A2A would connect agents to each other (agent-to-agent), for instance your shop's agent with a customer's or partner's agent. Both build on the same open principle: clear schemas, clear permissions.
Yes. The same permission and guardrail principles that apply to MCP today would apply to A2A too: you define what an agent may see and do, even in conversation with other agents. Governance doesn't shift onto the agents.
That's honestly still open, which is why this page is deliberately restrained about concrete promises. Scenarios around shopping agents and partner or supplier coordination look most plausible today, but which of these actually take hold first depends on how the standard develops.
No. If you use Laioutr or already use MCP, you're technically already on the foundation that would carry A2A readiness later. There's no pressure to act today, just the assurance that no re-architecture will be needed.
No. Just like with MCP, we're following open standards rather than closed proprietary solutions. Should a protocol other than A2A end up prevailing, it's the same open architecture that can adapt.
Preferably in a conversation. We share openly where our observation of this space stands, listen to your use cases, and look together at what can already be prepared for today via MCP.
AGENT OUTLOOK
Want to think ahead about agents talking to each other?
Let's talk about your system landscape and your automation plans. We'll tell you honestly where A2A stands today, what MCP already delivers, and how both could evolve for you.
"After 30 minutes, we knew Laioutr makes our replatforming feasible." - Daniel B., CEO, hygibox.de