MCP vs A2A vs Function Calling: Key Protocols for Production AI Agents
goyalshaliniuk · x · 2026-08-02
The author breaks down the differences between three core protocols/mechanisms essential for scaling LLMs and agents:
- MCP (Model-Context Protocol): Manages dynamic context windows by retrieving prior memory and metadata to personalize responses without hardcoding prompts.
- A2A (Agent-to-Agent Protocol): Enables direct communication and collaborative problem-solving between specialized local agents in multi-agent ecosystems.
- Function Calling: The LLM acts as a planner, decomposing tasks into a Directed Acyclic Graph (DAG) and dispatching subtasks to external tools (math, search, APIs) for execution.
In short: MCP manages context, A2A handles agent collaboration, and Function Calling drives task execution.
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