--- title: "What Is MCP? How It Works (vs RAG) in AI Assistants" url: https://daily.dev/posts/what-is-mcp-how-it-works-vs-rag-in-ai-assistants-z5rtlp3s4 source_url: https://www.gettingstarted.ai/mcp-vs-rag-vs-api/ type: article source: "Getting started with AI" published: 2025-06-26T14:50:49.652Z updated: 2025-07-28T02:17:43.954Z tags: ["ai-agents", "anthropic", "mcp", "rag"] reading_time: 6 upvotes: 1 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # What Is MCP? How It Works (vs RAG) in AI Assistants **[Getting started with AI](https://daily.dev/sources/gettingstartedai)** · 6 min read · 1 upvotes · 0 comments ## Summary MCP (Model Context Protocol) is a new standard introduced by Anthropic that allows AI models to call tools, access APIs, and fetch real-time data during conversations. Unlike RAG which retrieves information upfront using vector similarity search, MCP enables dynamic, real-time interactions with external systems. The protocol acts as a standardized interface between AI models and external tools, with MCP servers providing structured information about available functions. While RAG excels at knowledge retrieval tasks, MCP shines in interactive scenarios requiring live data access and tool execution. Both approaches can work together effectively, with major tech companies like Microsoft and Google adopting MCP as the standard for AI agent deployments. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Don’t just attend KubeCon \+ CloudNativeCon, Merge Forward your experience\!](https://daily.dev/posts/don-t-just-attend-kubecon-cloudnativecon-merge-forward-your-experience--l0rpp73x8) · CNCF · 0 upvotes · 0 comments - [Announcing H2 2026 KCDs](https://daily.dev/posts/announcing-h2-2026-kcds-m96goajm1) · CNCF · 1 upvotes · 0 comments - [Two months of Open Community Groups](https://daily.dev/posts/two-months-of-open-community-groups-asf52zhbs) · CNCF · 0 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#anthropic](https://daily.dev/tags/anthropic), [#mcp](https://daily.dev/tags/mcp), [#rag](https://daily.dev/tags/rag) [View this post on daily.dev](https://daily.dev/posts/what-is-mcp-how-it-works-vs-rag-in-ai-assistants-z5rtlp3s4)