#Protocols

Protocols define the communication contracts between distributed components. Articles here cover A2A protocol implementation in Go, gRPC service design, and the protocol-level decisions that determine interoperability and performance in multi-agent systems.

9 posts tagged with protocols. ← All posts

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Pratik Dhanave · ·5 min read

A2A and MCP Together

The two protocols people keep pitting against each other are actually two halves of the same architecture — MCP gives an agent its tools, A2A gives it collaborators, and real systems need both.

MCP gives an agent its tools, A2A gives it collaborators, and real systems need both. How the two protocols compose — tools within an agent, agents between — in one architecture.

Pratik Dhanave · ·5 min read

Streaming and Push Notifications

Long-running agent work needs a way to report progress without the client holding its breath, and A2A offers two: stream the updates live, or register a webhook and get called back.

Long-running agent work needs a way to report progress without the client holding its breath. A2A offers two: stream the updates live over SSE, or register a webhook and get called back.

Pratik Dhanave · ·5 min read

A2A Transports and Core Methods

A2A defines what agents exchange independently of how it travels, so the same operations work over JSON-RPC, gRPC, or plain REST — and the operation set is small enough to hold in your head.

A2A defines what agents exchange independently of how it travels, so the same operations work over JSON-RPC, gRPC, or plain REST — and the operation set is small enough to hold in your head.

Pratik Dhanave · ·4 min read

Messages, Parts, and Artifacts

Agents need to exchange more than plain strings — instructions, files, images, structured data, and finished deliverables — and A2A's content model handles all of it with three composable objects.

Agents exchange more than plain strings — instructions, files, images, structured data, and finished deliverables. A2A's content model handles all of it with three composable objects.

Pratik Dhanave · ·5 min read

Tasks and the Task Lifecycle

Delegating real work between agents is rarely a quick round trip, so A2A makes the task a first-class object with an explicit lifecycle that survives long-running, interruptible, asynchronous collaboration.

Delegated work is rarely a quick round trip, so A2A makes the task a first-class object with an explicit lifecycle that survives long-running, interruptible, asynchronous collaboration.

Pratik Dhanave · ·5 min read

Agent Cards and Discovery

Before one agent can delegate to another it has to find it and understand what it can do, and in A2A that self-description is a single structured document called the Agent Card.

Before one agent can delegate to another it must find it and understand it. In A2A that self-description is a single structured document — the Agent Card.

Pratik Dhanave · ·5 min read

What Is the Agent2Agent Protocol?

Tools are one half of an agent's world and other agents are the other half, and A2A is the open standard that lets agents built by different teams, in different frameworks, discover and delegate to each other as peers.

A2A is the open standard that lets agents built by different teams, in different frameworks, discover and delegate to each other as peers — the agent-to-agent complement to MCP's agent-to-tools.

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.