io.github.HatmanStack/ragstack

MCPcommunity
v0.1.4io.github.HatmanStackUnknownUpdated 4mo agoGitHub

Search, chat, upload, and scrape a serverless RAGStack knowledge base on AWS.

Serverless document and media processing with AI chat. Scale-to-zero architecture — no vector database fees, no idle costs. Upload documents, images, video, and audio — extract text with OCR or transcription — query using Amazon Bedrock or your AI assistant via MCP. ☁️ Fully serverless architecture (Lambda, Step Functions, S3, DynamoDB) 🧠 NEW Amazon Nova multimodal embeddings for text and image…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
4mo agoLast update
Package
Authorio.github.HatmanStack
LicenseUnknown
Version0.1.4
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
CVE scan · clean+30/30
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
DependenciesNot audited
Tool surface
Security scan✓ Cleanv0.1.8 · 19d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

Serverless document and media processing with AI chat. Scale-to-zero architecture — no vector database fees, no idle costs. Upload documents, images, video, and audio — extract text with OCR or transcription — query using Amazon Bedrock or your AI assistant via MCP. ☁️ Fully serverless architecture (Lambda, Step Functions, S3, DynamoDB) 🧠 NEW Amazon Nova multimodal embeddings for text and image vectorization 📄 Document processing & vectorization (PDF, images, Office docs, HTML, CSV, JSON,…

Keywords
mcp