--- title: [Hands-on] MCP-powered Agentic RAG | daily.dev description: A step-by-step implementation guide for building an Agentic RAG system using the Model Context Protocol (MCP). The system combines vector database search with... canonical: https://daily.dev/posts/hands-on-mcp-powered-agentic-rag-c8rz4qf8t twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: [Hands-on] MCP-powered Agentic RAG | daily.dev og:description: A step-by-step implementation guide for building an Agentic RAG system using the Model Context Protocol (MCP). The system combines vector database search with... og:url: https://daily.dev/posts/hands-on-mcp-powered-agentic-rag-c8rz4qf8t og:image: https://api.daily.dev/og/posts/C8rZ4qF8t.png og:image:alt: [Hands-on] MCP-powered Agentic RAG og:image:width: 1200 og:image:height: 630 og:locale: 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. # [Hands-on] MCP-powered Agentic RAG **[Daily Dose of Data Science \| Avi Chawla \| Substack](https://daily.dev/sources/dailydoseofds)** · 4 min read · 13 upvotes · 0 comments ## Summary A step-by-step implementation guide for building an Agentic RAG system using the Model Context Protocol (MCP). The system combines vector database search with web search fallback, using Firecrawl for web scraping, Qdrant as the vector database, and Cursor as the MCP client. The tutorial covers setting up an MCP server, creating tools for both vector DB queries and web search, and integrating everything with Cursor for intelligent query routing. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#mcp](https://daily.dev/tags/mcp), [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search) [View this post on daily.dev](https://daily.dev/posts/hands-on-mcp-powered-agentic-rag-c8rz4qf8t) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"[Hands-on] MCP-powered Agentic RAG","url":"https://daily.dev/posts/hands-on-mcp-powered-agentic-rag-c8rz4qf8t","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/hands-on-mcp-powered-agentic-rag-c8rz4qf8t"},"datePublished":"2025-09-05T21:16:56.240Z","dateModified":"2026-03-15T03:40:28.060Z","description":"A step-by-step implementation guide for building an Agentic RAG system using the Model Context Protocol (MCP). The system combines vector database search with...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/3ff35a520dd4be7a6c136f95823fb7e5?_a=AQAEulh","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/3ff35a520dd4be7a6c136f95823fb7e5?_a=AQAEulh","isAccessibleForFree":true,"articleSection":"Daily Dose of Data Science | Avi Chawla | Substack","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Daily Dose of Data Science | Avi Chawla | Substack","logo":"https://media.daily.dev/image/upload/s--4IHQgTOw--/f_auto/v1710503712/logos/dailydoseofds","url":"https://daily.dev/sources/dailydoseofds"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/hands-on-mcp-powered-agentic-rag-c8rz4qf8t","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":13},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai-agents,mcp,rag,vector-search","timeRequired":"PT4M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Daily Dose of Data Science | Avi Chawla | Substack","item":"https://daily.dev/sources/dailydoseofds"},{"@type":"ListItem","position":3,"name":"[Hands-on] MCP-powered Agentic RAG"}]} ```