14.05.2025
Blog
Data & AI

An Introduction to Google’s Agent-to-Agent (A2A) Protocol

With the Agent-to-Agent (A2A) protocol, Google is introducing an open standard that enables communication between autonomous AI agents across different platforms. The aim is to create an interoperable infrastructure in which specialised agents can collaborate efficiently without having to rely on proprietary interfaces.

Sebastian Gerntke
Senior Software Developer Cloud

What is the A2A protocol?

The A2A protocol is based on established web standards such as HTTP/1.1 or HTTP/2 for transport and JSON-RPC 2.0 for structured message formats. For long-running processes, it also supports streaming updates via Server-Sent Events (SSE), enabling real-time communication between agents.

The central element of the protocol is the ‘task’ – a defined unit of work that is initiated by a client agent and processed by a server agent. Each task goes through a lifecycle with states such as “submitted”, “working”, “input-required” and “completed”, which allows for transparent tracking of progress.

Why is A2A relevant for businesses?

In modern business environments, specialised AI agents are increasingly being deployed to handle a variety of tasks – from data analysis and customer support to process automation. The A2A protocol enables these heterogeneous agents to be efficiently orchestrated by establishing a standardised basis for communication.

Another advantage of the protocol is its openness: by releasing it as an open-source initiative under the Apache 2.0 licence, Google is promoting widespread adoption and further development by the community. This reduces dependence on individual vendors and enables businesses to respond flexibly to changing requirements.

In summary, the A2A protocol provides a robust foundation for the development of interoperable, scalable and secure multi-agent systems that meet the growing demands of modern enterprise IT.

Technical Requirements and Implementation

Implementing the A2A protocol requires both conceptual and infrastructural preparation. Fundamental to any A2A integration is an understanding of the protocol’s architecture and compliance with the specification, particularly with regard to security, communication and interoperability.

Technical Fundamentals

A2A relies on HTTP/1.1 or HTTP/2 as its transport protocol and uses JSON-RPC 2.0 to structure requests and responses. The content is transmitted as JSON objects in so-called ‘messages’ and ‘artifacts’. Support for streaming updates via Server-Sent Events (SSE) is also provided for longer-running tasks.

Every A2A-capable agent publishes a so-called ‘Agent Card’ – a machine-readable JSON document accessible via a standardised URL (usually https://<agent-host>/.well-known/agent.json). This Agent Card describes the available interfaces, authentication methods and capabilities of the respective agent.</agent-host>

Infrastructure requirements

Two main components are required to deploy an A2A-compatible agent:

  • A2A server: Receives incoming JSON-RPC requests, processes tasks and returns results.
  • A2A Client: Reads Agent Cards, identifies suitable agents and initiates communication in accordance with the described interfaces.

In addition, mechanisms for authentication and authorisation are essential. A2A supports common methods such as OAuth2, API keys and JWT. The method to be used is also specified in the Agent Card and must be taken into account by the implementation.

Task-based interaction

Communication in the A2A protocol is task-based: a client creates a task with a unique ID and an optional session ID. The server processes this task and returns status messages as well as final results. These status messages follow a defined lifecycle – from ‘submitted’ through ‘working’ to ‘completed’ or ‘failed’.

The results of a task can be provided in various formats, including plain text, structured data or even files. Thanks to this flexible content model, A2A is suitable for a wide range of application scenarios – from simple text responses to complex, multi-stage interactions.

Advanced forms of communication

In addition to traditional synchronous communication, A2A supports two further modes:

  • Streaming (SSE): For continuous updates during longer tasks
  • Push notifications (webhook): For asynchronous status updates without the client needing to maintain a persistent connection

Both options increase the flexibility of the integration but require careful planning on both the client and server sides – particularly with regard to connection management and security.

Security and Interoperability

A key priority of the A2A protocol is secure communication. Therefore, the exclusive use of HTTPS is mandatory. Furthermore, sensitive data should always be protected by appropriate authentication and authorisation mechanisms. Compliance with the protocol specifications is essential to ensure seamless interaction between different agents.

For businesses, this means that those who integrate A2A into their system landscape will benefit from a modern, future-oriented architecture – provided it is implemented with the necessary technical diligence.

Conclusion and Outlook

With the A2A protocol, Google has established a forward-looking standard that enables specialised AI agents to communicate with one another securely, flexibly and in an interoperable manner. This opens up the opportunity for companies to supplement their existing IT infrastructure with a modular, agent-based architecture – without being tied to proprietary interfaces.

Thanks to open specifications, standardised interfaces and modern security mechanisms, A2A can be seamlessly integrated into existing systems. Organisations that adopt this approach at an early stage not only position themselves at the forefront of technology but also lay the foundations for innovative, automated business processes.

As an experienced software company, we support our clients in realising the full potential of A2A – from conception and implementation right through to integration into complex system landscapes.

Sebastian Gerntke
Senior Software Developer Cloud

Sebastian Gerntke arbeitet bei Materna als Senior Software Developer Cloud im Bereich Enterprise Transformation. Dort begleitet er verschiedene Projekte mit Schwerpunkt generative KI als Architekt und Entwickler.

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