# AWS Knowledge Base

> Use this tool when you need to retrieve information from AWS Knowledge Bases and incorporate it into AI assistant workflows, solving problems such as accessing relevant context and metadata for informed decision-making. It takes in authentication credentials and Knowledge Base IDs as inputs and returns raw context and structured metadata as outputs. This tool is ideal for organizations that maintain AWS Knowledge Bases and want to leverage that information in their AI-powered applications.

Canonical page: https://skillsregistry.net/skills/aws-kb  
JSON: https://api.skillsregistry.net/v1/skills/aws-kb

## Description

The AWS Knowledge Base Retrieval MCP Server enables AI assistants to access information from AWS Knowledge Bases using the Bedrock Agent Runtime. Built with TypeScript, it provides a retrieve_from_aws_kb tool that performs RAG (Retrieval-Augmented Generation) operations, returning both raw context and structured metadata about the sources. The server supports multiple authentication methods including IAM Access Keys and AWS SSO, can be configured with default Knowledge Base IDs, and returns results in a format optimized for AI consumption with separate content items for context and source metadata. This implementation is particularly valuable for organizations that maintain AWS Knowledge Bases and want to incorporate that information into their AI assistant workflows.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aws-kb)
- **Repository:** <https://github.com/sammcj/mcp-aws-kb>

## 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": "aws-kb"
    }
  }
}
```

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