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Everyone learning AI should know these 3 protocols. I've explained each protocol in simple. 𝗠𝗖𝗣 (𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹) MCP helps AI models 𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝘁𝗼 𝘁𝗼𝗼𝗹𝘀 𝗮𝗻𝗱 𝗲𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝗱𝗮𝘁𝗮. • It acts as a bridge between the AI model & outside systems • Allows models to safely access tools, files, and databases • Standardizes how context is shared with AI 1. 𝗠𝗖𝗣 𝗛𝗼𝘀𝘁 The MCP Host is the 𝗺𝗮𝗶𝗻 𝗔𝗜 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗿𝘂𝗻𝗻𝗶𝗻𝗴 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹. • Receives the user request • Decides when external tools are needed • Initiates communication with MCP services 2. 𝗠𝗖𝗣 𝗖𝗹𝗶𝗲𝗻𝘁 The MCP Client acts as the 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗼𝗿 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝘁𝗵𝗲 𝗔𝗜 & 𝗲𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝘁𝗼𝗼𝗹𝘀. • Sends requests to MCP servers • Transfers instructions from the AI model • Handles communication with available services 3. 𝗠𝗖𝗣 𝗦𝗲𝗿𝘃𝗲𝗿 The MCP Server provides 𝘁𝗼𝗼𝗹𝘀 𝗮𝗻𝗱 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝘁𝗵𝗮𝘁 𝗔𝗜 𝗰𝗮𝗻 𝘂𝘀𝗲. It exposes capabilities such as: • APIs • files • databases • external services These help the AI 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗽𝗲𝗿𝗳𝗼𝗿𝗺 𝗮𝗰𝘁𝗶𝗼𝗻𝘀. 𝗔𝟮𝗔 (𝗔𝗴𝗲𝗻𝘁-𝘁𝗼-𝗔𝗴𝗲𝗻𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹) A2A allows 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝘁𝗼 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗲 & 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲. Instead of one AI doing everything, different agents can work together. Example: • Research agent • Analysis agent • Coding agent Each agent handles 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗽𝗮𝗿𝘁𝘀 𝗼𝗳 𝗮 𝘁𝗮𝘀𝗸. 1. 𝗔𝗴𝗲𝗻𝘁 𝗧𝗮𝘀𝗸𝘀 𝗮𝗻𝗱 𝗠𝗲𝘀𝘀𝗮𝗴𝗲𝘀 In A2A systems, agents coordinate through structured communication. This includes: • 𝗧𝗮𝘀𝗸𝘀 → work assigned to another agent • 𝗠𝗲𝘀𝘀𝗮𝗴𝗲𝘀 → agents share updates and information • 𝗦𝘁𝗮𝘁𝘂𝘀 𝗨𝗽𝗱𝗮𝘁𝗲𝘀 → progress tracking • 𝗔𝗿𝘁𝗶𝗳𝗮𝗰𝘁𝘀 → outputs like reports or code This allows agents to 𝗱𝗶𝘃𝗶𝗱𝗲 𝘄𝗼𝗿𝗸 𝗮𝗻𝗱 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁𝗹𝘆. A2A also allows communication with 𝗮𝗴𝗲𝗻𝘁𝘀 𝗼𝗻 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 like cloud-based agents, enterprise AI systems etc. 𝗔𝗖𝗣 (𝗔𝗴𝗲𝗻𝘁 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹) ACP defines how agents 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗲 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗔𝗣𝗜𝘀 𝗮𝗻𝗱 𝘀𝘆𝘀𝘁𝗲𝗺 𝗲𝘃𝗲𝗻𝘁𝘀. 1. 𝗔𝗣𝗜𝘀, 𝗘𝘃𝗲𝗻𝘁𝘀 𝗮𝗻𝗱 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 ACP uses common communication mechanisms such as: 𝗮) 𝗥𝗘𝗦𝗧 𝗔𝗣𝗜𝘀 Agents send requests to services. 𝗯) 𝗔𝘀𝘆𝗻𝗰 𝗘𝘃𝗲𝗻𝘁𝘀 Systems notify agents when something happens. 𝗰) 𝗦𝘆𝗻𝗰 𝗥𝗲𝗾𝘂𝗲𝘀𝘁𝘀 Immediate request-response communication. 𝗱) 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 Agents find other services in the network. 𝗲) 𝗠𝗲𝘁𝗮𝗱𝗮𝘁𝗮 Describes capabilities and endpoints. These allow AI agents to 𝗼𝗽𝗲𝗿𝗮𝘁𝗲 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝘆 𝗮𝗰𝗿𝗼𝘀𝘀 𝘀𝘆𝘀𝘁𝗲𝗺𝘀. ✅ 𝗜𝗻 𝘀𝗵𝗼𝗿𝘁: • 𝗠𝗖𝗣 → AI connects to tools and data • 𝗔2𝗔 → agents collaborate with agents • 𝗔𝗖𝗣 → agents communicate with APIs/systems ✅ Repost for others so they can know these imp protocols for AI agents.