Official description๐ โ๏ธ ๐ ๐ช ๐ง - Access RAGStack serverless knowledge bases on AWS: search, chat with AI answers, upload documents and media, scrape websites and analyze metadata.
Config template (adjust for your client)
claude mcp add ragstack-lambda -- npx -y ragstack-lambda
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
25 โ ยท HatmanStack/RAGStack-Lambda ยท read from the repository page ยท (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
Harvest history
first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร ยท listed by 7 sources
Score
score 703 ยท 25 โ ยท 7 sources ยท mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP ๆๅก. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository HatmanStack/RAGStack-Lambda๏ผfirst catalogued 2026-10-09๏ผlast seen 2026-10-16ใThere is no official certification or quality rating here โ we record sources and dates only.
Third-party quality signals
Serverless document and media processing with AI chat. Scale-to-zero architectur
QUESTIONS? Features - โ๏ธ Fully serverless architecture (Lambda, Step Functions, S3, DynamoDB) - ๐ง **NEW** Amazon Nova multimodal embeddings for text and image vectorization - ๐ Document processing & vectorization (PDF, images, Office docs, HTML, CSV, JSON, XML, EML, EPUB) โ stored in managed knowledge base - ๐ฌ **NEW** Video/audio processing - transcribe speech with AWS Transcribe, searchable by timestamp - ๐ฌ AI chat with retrieval-augmented context and source attribution - ๐ Collapsible source citations with optional document downloads - โฑ๏ธ **NEW** Media sources with timestamp links - click to play at exact position - ๐ Metadata filtering - auto-discover document metadata and filter search results - ๐ฏ Relevancy boost for filtered results - prioritize matches from metadata filters - ๐ Knowledge Base reindex - regenerate metadata for existing documents with updated settings - ๐๏ธ Document management - reprocess, reindex, or delete documents from the dashboard - ๐ Web component for any framework (React, Vue, Angular, Svelte) - ๐ One-click deploy - ๐ฐ $7-10/month (1000 docs, Textract + Haiku) Live Demo | Environment | URL | Credentials | |-------------|-----|-------------| | **Base Pipeline** | dhrmkxyt1t9pb.cloudfront.net | guest@hatstack.fun / Guest@123 | | **Project Showcase** | showcase-htt.hatstack.fun | Login as guest | > **Base Pipeline**: The core document processing tool - upload, OCR, and query documents. > > **Project Showcase**: See RAGStack powering a real application. Quick Start Option 1: One-Click Deploy (AWS Marketplace) **REPO IS IN ACTIVE DEVELOPMENT AND WILL CHANGE OFTEN** Deploy directly from the AWS Console - no local setup required: 1. Subscribe to RAGStack on AWS Marketplace (free, not required - If subscribed Lambda roles auto-accept Bedrock model agreements on first invocation) 2. Click here to deploy 3. Enter a stack name (**lowercase only**, e.g., "my-docs") and your admin email 4. Click **Create Stack** (deployment takes ~10 minutes) **After deployment:** - Check your email for the temporary password (from Cognito) - Go to CloudFormation โ your stack โ **Outputs** tab to find the Dashboard URL (UIUrl) Option 2: Deploy from Source For customization or development: **Prerequisites:** - AWS Account with admin access - Python 3.13+, Node.js 24+ - uv (Python package manager) - AWS CLI, SAM CLI (configured) - Docker (for Lambda layer builds) Option 3: Nested Stack Deployment Deploy RAGStack as part of a larger CloudFormation stack. See Nested Stack Deployment Guide for details. **Quick example:** Web Component Integration See RAGSTACK_CHAT.md for web component integration guide. API Access **Server-side integrations** use API key authentication. Get your key from Dashboard โ Settings. **Web component** uses IAM auth (no API key needed - handled automatically). Each UI tab shows server-side API examples in an expandable section. MCP Server (AI Assistant Integration) Use your knowledge base directly in Claude Desktop, Cursor, VS Code, Amazon Q CLI, and other MCP-compatible tools. Add to your AI assistant's MCP config: Then ask naturally: *"Search my knowledge base for authentication docs"* See MCP Server docs for full setup instructions.