文章摘要
The article introduces and compares two significant protocols in the AI assistant landscape: the Model Context Protocol (MCP) and the emerging Agent-to-Agent (A2A) protocol.
- MCP, developed by Anthropic, enables AI assistants like Claude to access and utilize external tools and resources, effectively allowing the model to interact with the outside world.
- It defines a structured way, often using JSON, for AI clients to communicate with 'MCP Servers' for tasks such as web searching, executing code, or interacting with APIs.
- A2A is presented as a complementary protocol focused on facilitating direct communication and collaboration between different AI agents.
- The article highlights that while MCP focuses on AI-to-Tool interaction, A2A targets AI-to-AI interaction, both contributing to more complex and agentic AI workflows.