MCP (Model Context Protocol) standardizes how AI assistants interact with external systems. Instead of each AI tool building custom integrations, MCP provides a universal protocol for: accessing databases, reading files, calling APIs, and executing actions. Key concepts include: MCP servers (expose capabilities), MCP clients (AI applications), resources (data sources), tools (actions the AI can take), and prompts (reusable templates). MCP enables building AI agents that can interact with the real world while maintaining security boundaries. It's becoming the standard for tool-use in AI applications, similar to how HTTP standardized web communication.
🤖 AI Agents intermediate
MCP (Model Context Protocol)
Anthropic's open protocol enabling AI models to securely connect with external data sources and tools.
5
views
</> Related Terms
AI Agent
An autonomous software entity that perceives its environment, makes decisions, and takes actions to achieve specific goals.
LLM (Large Language Model)
AI models trained on massive text datasets to understand and generate human-like text.
Agentic AI
AI systems that can autonomously plan, execute multi-step tasks, and interact with external tools and environments.