A2A + MCP: The Perfect Combination
These two protocols work together to solve the complete integration challenge:
A2A (Agent-to-Agent) is like the social network for AI agents. It lets them communicate and work together directly. Imagine your calendar AI automatically coordinating with your travel AI to reschedule meetings when flights get delayed.
MCP (Model Context Protocol) is more like a universal adapter. It gives AI models standardized ways to access tools and data sources. It’s what allows your AI assistant to check the weather or search a knowledge base without breaking a sweat. (View Highlight)
A2A handles communication between agents, while MCP connects agents to their tools. (View Highlight)
Together, they create a clean, two-tier architecture that will save you hundreds of hours of development time
example showing how a2a and mcp can be combined (View Highlight)
This A2A + MCP architecture delivers real, practical value right now:
Dramatically reduced integration work
No more custom connectors for each service — everything speaks the same language.
Easy component replacement
Need a better data source? Just plug in a new agent — the orchestrator stays the same.
Clear error boundaries
Each agent handles its own errors, preventing system-wide failures.
Simple extensibility
Want to add historical data? Just create a new MCP tool and expose it through a new or existing agent.
Reusable components across projects
That DuckDuckGo agent can be used in any project needing search capabilities. (View Highlight)
example showing how a2a and mcp can be combined (View Highlight)