The MCP protocol defines a communication standard for AI agents, separating responsibilities into Host, Client, and Server roles. The Host, such as Claude Desktop or Claude Code, manages LLM inference and connection to MCP Servers, deciding which tools or resources to expose. The Client, embedded within the Host, handles communication with a single MCP Server using JSON-RPC 2.0 messages and tracks session state. The independent Server process exposes capabilities like Tools, Resources, and Prompts, communicating with Clients via stdio or HTTP. AI
IMPACT Defines a standardized communication protocol for AI agents, enabling better integration and interoperability between different LLM applications and tools.
RANK_REASON Article describes a communication protocol for AI agents, detailing its architecture and message exchange.
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