A2A vs MCP: Do They Compete or Compose Cleanly in Agent Stacks?
A2A is for agent-to-agent communication. MCP is for agent-to-tool. The clean mental model for using both protocols together in 2026 stacks without architectural pain.
How to use AI voice and chat agents to grow revenue, cut costs, and improve customer experience — AI strategy, sales, customer service, lead generation, enterprise adoption, and real customer results.
From the blog
A2A is for agent-to-agent communication. MCP is for agent-to-tool. The clean mental model for using both protocols together in 2026 stacks without architectural pain.
SMB Founder Playbook perspective on Gemini 3 Pro lands with longer context, native multimodality, and tool-use upgrades that put it back in the Claude/GPT conversation.
SMB Founder Playbook perspective on Antigravity is Google's answer to Cursor and Windsurf — an IDE built around long-running, parallel agent workflows.
SMB Founder Playbook perspective on GPT-5.5 ships with smarter routing, faster tool use, and expanded thinking budgets — here is what matters if you are building agents.
SMB Founder Playbook perspective on AgentKit 1.0 is OpenAI's bid to own the agent runtime layer — visual builder, hosted state, and one-click deploy.
SMB Founder Playbook perspective on Codex CLI is OpenAI's answer to Claude Code and Aider — a model-agnostic agentic terminal for code.
SMB Founder Playbook perspective on Operator 2.0 hit GA with task templates, scheduled runs, and a developer API for embedding browser agents into custom apps.
SMB Founder Playbook perspective on Swarm 2.0 cleans up the original prototype into a real production library for agent handoffs.
SMB Founder Playbook perspective on OpenHands' April 2026 release pushes open-source coding agents past 67% on SWE-bench Verified.