# RAGStack

> Use this tool when you need to interact with a serverless knowledge base to search documents, generate context-aware responses, or upload new content. It solves problems related to information retrieval, natural language processing, and data integration by providing a unified interface to manage and query knowledge bases. It takes in GraphQL API endpoint connections and AWS service integrations as inputs and outputs searched documents, chat responses, and uploaded content.

Canonical page: https://skillsregistry.net/skills/hatmanstack-ragstack  
JSON: https://api.skillsregistry.net/v1/skills/hatmanstack-ragstack

## Description

Provides tools to interact with a RAGStack serverless knowledge base deployed on AWS. Supports searching stored documents, chatting with context-aware RAG responses, uploading new documents and media for processing, and scraping web content into the knowledge base. Connects to your RAGStack instance via GraphQL API endpoint and integrates with AWS services including Lambda, S3, DynamoDB, and Bedrock.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/hatmanstack-ragstack)
- **Repository:** <https://github.com/hatmanstack/ragstack-lambda>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "hatmanstack-ragstack"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hatmanstack-ragstack` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hatmanstack-ragstack/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt