文章摘要
The article introduces Model Context Protocol (MCP) and Agent-to-Agent Protocol (A2A) as critical emerging standards for AI engineers.
- MCP, championed by Anthropic, defines how AI models receive external information like tool definitions and real-time data, enabling robust tool use by agents.
- A2A extends this concept, outlining how different AI agents can communicate and collaborate to achieve complex tasks.
- These protocols are designed to standardize agentic capabilities, moving beyond basic function calling to enable sophisticated, multi-agent workflows.
- The adoption of A2A and MCP is crucial for building scalable, reliable, and interoperable AI systems, enhancing the capabilities of AI assistants and agent frameworks.