Agent Interoperability Protocols Emerge from Tech Giants
New agent interoperability protocols are emerging from major tech companies, including MCP from Anthropic, A2A from Google, and ACP from IBM. These protocols are designed to allow autonomous agents to communicate, share memory, and form networks. The development signals a potential shift from isolated AI tools to an interconnected "Agentic Internet."
- The Model Context Protocol (MCP) from Anthropic, introduced in November 2024, is an open standard designed for agent-to-tool communication, standardizing how AI agents access external data and tools. Google's Agent2Agent (A2A) protocol, launched in April 2025 with over 50 partners, complements MCP by focusing on agent-to-agent communication, allowing them to coordinate actions and exchange information. IBM's Agent Communication Protocol (ACP), which uses a RESTful architecture, has since merged its development with A2A under the Linux Foundation to create a unified standard. - Agentic AI architectures, which these protocols support, are designed to give agents autonomy through components that handle planning, self-reflection, and memory. Common architectural patterns include single-agent, multi-agent (both vertical/hierarchical and horizontal/collaborative), and hybrid models. These architectures enable complex autonomous workflows where specialized agents collaborate on tasks like research, coding, and review. - For API design, this shift requires moving from traditional data-providing endpoints (CRUD) to goal-oriented, "agent-ready" APIs that interpret intent and provide context. Key design principles for agent-driven systems include scalability, modularity for flexibility, and extensibility through plugin systems to support collaborating agents. - Enterprise adoption is moving from experimentation to scaled deployment, with projections that agentic capabilities will be embedded in nearly a third of enterprise applications by 2028. Companies like Zapier have deployed over 800 AI agents using Anthropic's models, and Microsoft is working with EY to orchestrate entire agent teams to improve productivity. - The rise of agentic AI has spurred significant venture capital interest, with global investment in agentic AI startups reaching $2.8 billion in the first half of 2025. Funding for this sector nearly tripled to $3.8 billion in 2024, and mentions of "AI agents" on corporate earnings calls grew fourfold in Q4 2024. - AI governance for interoperability is being addressed by global frameworks like the OECD AI Principles and the NIST AI Risk Management Framework, which provide guidelines for building responsible and trustworthy AI. A key challenge is the lack of universal standards for agent-API communication, which hinders interoperability across different systems and platforms. The United Nations University is actively researching interoperability in AI safety governance, focusing on aligning ethical, legal, and technical standards across jurisdictions.
