MCP (Model Context Protocol)
Widely AdoptedThe universal standard for connecting AI models to tools and data
Anthropic / 2024Read more →
The Definitive Technical Reference
Deep technical reference for AI protocols, standards, and integration patterns. MCP, A2A, function calling, RAG, context engineering, and everything you need to build AI-powered applications.
Core Protocols
The universal standard for connecting AI models to tools and data
Enabling AI agents to discover, communicate, and collaborate across frameworks
The foundational pattern for AI models to interact with external tools and APIs
Grounding AI responses in real-world data through intelligent retrieval
The systems discipline of designing optimal information flow into AI models
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Terms Defined
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Protocols Covered
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Essential Vocabulary
An open protocol by Anthropic that standardizes how AI models connect to external tools, data sources, and services through a unified client-server architecture.
Google's open protocol enabling AI agents built on different frameworks to communicate, collaborate, and delegate tasks to each other.
An architecture pattern that enhances LLM responses by retrieving relevant information from external knowledge bases before generating answers.
The emerging discipline of systematically designing and optimizing the information provided to AI models to maximize output quality and reliability.
AI systems that can autonomously plan, reason, use tools, and take multi-step actions to accomplish complex goals with minimal human intervention.
A capability that allows LLMs to generate structured JSON arguments for predefined functions, enabling models to interact with external systems and APIs.
Newsletter
The AI protocol landscape evolves fast. We distill the most important changes, new standards, and integration patterns into a weekly briefing for engineers.