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What do MCP and A2A each connect?
MCP connects an AI application to tools and context
MCP defines a client-server interface for exposing or consuming three kinds of capability: prompts, resources, and tools. The MCP overview describes prompts as predefined templates or instructions, generally controlled by the user; resources as structured content or context, generally controlled by the application; and tools as executable actions or retrieval functions a model may invoke.
For example, an enterprise assistant might use an MCP server to retrieve data from a business service or call a bounded function. The protocol standardizes that interface; it does not decide whether a user is authorized to perform an action, whether an operation needs approval, or how activity is monitored.
A2A connects independent agents
A2A is for communication among separately built agents. Its version 1.0.0 documentation describes capability discovery, modality negotiation, and collaborative task interaction without requiring one agent to expose its internal state, memory, or tools to another.
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An A2A Agent Card describes an agent’s identity, capabilities, skills, service endpoint, and authentication requirements. Treat it as published trust metadata—not proof that the agent is safe or authorized. The A2A documentation specifically warns against including plaintext secrets such as static API keys in a card; credentials should be established through the intended authentication mechanism.
Are MCP and A2A competitors or complementary?
They are complementary when a system needs both boundaries. The A2A project’s comparison calls them “complementary protocols designed for different aspects of agentic systems.” In practical terms, MCP handles structured access to tools and context, while A2A handles communication and task delegation between agents.
A useful architecture is to place MCP between an agent and enterprise tools or data, and A2A between that agent and other agents. This is a design pattern based on their documented roles, not an architecture mandated by either protocol.
When should an enterprise use MCP, A2A, or both?
| Enterprise need | Better fit | Why |
|---|---|---|
| An assistant needs to query a data service or invoke a bounded enterprise function. | MCP | Its client-server primitives include resources and executable tools. |
| A coordinator needs to discover and delegate work to an independently built specialist agent. | A2A | It focuses on agent capability discovery and task-oriented interaction. |
| An agent needs enterprise tools and data, and must delegate subtasks to other agents. | Both | Each protocol can serve a separate integration boundary; tool permissions and agent trust still need explicit policies. |
| A workflow is a fixed sequence of internal function calls with no independent agents. | MCP may be enough | A2A may add a boundary the workflow does not need. This is an architectural rule of thumb, not a protocol requirement. |
For a real deployment, compare the interaction boundary, task lifecycle, capability discovery needs, data and modality requirements, trust and authorization boundaries, and the maturity of the specific runtime and SDK versions you plan to deploy. Neither protocol removes the need to evaluate the surrounding implementation.
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What should teams plan for before deployment?
Pin the specification and implementation versions
The MCP project’s 2026-07-28 specification announcement describes a stateless core, header-based routing, cache metadata for listing and resource results, authorization changes, an optional Tasks extension, and deprecations. Those details make version selection an operational dependency: pin the specification revision and SDK, review the applicable migration notes, and test the exact client-server combination. Do not assume older initialization, session, or transport behavior applies to a newer revision.
The MCP 2026-05-21 release-candidate article helps explain the transition, but deployment behavior should be checked against the final specification and the revision actually in use. The A2A project identifies 1.0.0 as its latest release in the official version documentation; verify the release and protocol binding implemented by each participating platform before depending on a feature.
Define identity, authorization, and data boundaries
The 2026 MCP release material discusses authorization changes aligned with OAuth and OpenID Connect, including issuer checks and binding credentials to the authorization server that issued them. These are version-specific behaviors, so follow the pinned specification and the deployment provider’s implementation guidance.
For A2A, establish how the system validates discovered Agent Cards, authenticates remote agents, scopes their permissions, and controls which data may cross the boundary. A protocol exchange alone does not establish that a remote agent is trustworthy or entitled to carry out every requested task.
Design operations for distributed work
MCP’s 2026 release describes stateless request handling, routing metadata, cache lifetimes and scopes, and trace-context propagation. These features can support load-balanced deployments, but teams still need to configure gateways, enforce per-user authorization, define safe caching boundaries, and connect trace context to their own monitoring.
A2A creates a distributed task boundary between independently operated agents. Define deadlines, ownership, retry and failure behavior, audit logging, and data-retention expectations in the surrounding system. These operational policies are needed alongside the protocol, not supplied automatically by it.
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