技能潮 SkillTide 提交收录
官方说明7 个来源MCP 服务8 天前
HatmanStack/ragstack-mcp

HatmanStack/ragstack-mcp

🐍 ☁️ 🍎 🪟 🐧 - Access RAGStack serverless knowledge bases on AWS: search, chat with AI answers, upload…
在 GitHub 查看 ↗直链 · 无中转页
官方说明🐍 ☁️ 🍎 🪟 🐧 - Access RAGStack serverless knowledge bases on AWS: search, chat with AI answers, upload documents and media, scrape websites and analyze metadata.
配置模板(请按你的客户端调整)
claude mcp add ragstack-lambda -- npx -y ragstack-lambda
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
25 ★ · HatmanStack/RAGStack-Lambda · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 25 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 HatmanStack/RAGStack-Lambda;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Serverless document and media processing with AI chat. Scale-to-zero architectur

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

QUESTIONS?
Features
- ☁️ 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, XML, EML, EPUB) → stored in managed knowledge base
- 🎬 **NEW** Video/audio processing - transcribe speech with AWS Transcribe, searchable by timestamp
- 💬 AI chat with retrieval-augmented context and source attribution
- 📎 Collapsible source citations with optional document downloads
- ⏱️ **NEW** Media sources with timestamp links - click to play at exact position
- 🔍 Metadata filtering - auto-discover document metadata and filter search results
- 🎯 Relevancy boost for filtered results - prioritize matches from metadata filters
- 🔄 Knowledge Base reindex - regenerate metadata for existing documents with updated settings
- 🗑️ Document management - reprocess, reindex, or delete documents from the dashboard
- 🌐 Web component for any framework (React, Vue, Angular, Svelte)
- 🚀 One-click deploy
- 💰 $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 → your stack → **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 → 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.
来源
awesome · https://github.com/HatmanStack/RAGStack-Lambda/tree/main/src/ragstack-
按领域浏览
MCP 服务
Traction
25 ★
收录于
昨天

更多MCP 服务

查看MCP 服务全部 5,525 条 →

所属领域与标签

每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。

浏览全部领域 →

← 返回索引