# AWS Labs

> Use this tool when you need to integrate AWS services into your AI applications, solving problems such as enterprise workflow management, cost analysis, and infrastructure management. It provides a comprehensive set of specialized servers, including Bedrock Knowledge Bases and Nova Canvas, with sample applications and extensive documentation. With inputs including prompts and outputs such as generated images and workflow automations, use AWS Labs to streamline your AI development workflow and leverage AWS services for generative AI, cost optimization, and more.

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

## Description

This AWS Labs MCP server collection provides comprehensive integration with AWS services through multiple specialized servers including Bedrock Knowledge Bases, Nova Canvas image generation, Step Functions, Lambda, IAM, Cost Explorer, and many others. The implementation includes sample applications demonstrating real-world usage patterns, such as a Streamlit-based chatbot that integrates with Bedrock Knowledge Bases for RAG workflows and an image generator leveraging Nova Canvas with prompt improvement capabilities. Built with Python and FastAPI, the servers use the langchain-mcp-adapters for seamless integration and include extensive documentation, testing frameworks, and deployment guides, making it valuable for developers building AI applications that need deep AWS service integration for enterprise workflows, cost analysis, infrastructure management, and generative AI use cases.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

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

## 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": "awslabs-aws-services"
    }
  }
}
```

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