# AWS Cloud Development Kit

> Use this tool when you need to integrate AI applications with AWS services, enabling access to resources like Bedrock, S3, and DynamoDB through the Model Context Protocol. It solves problems of compatibility and connectivity between AI models and AWS infrastructure, providing a seamless interface for development and deployment. With inputs of AI model requests and outputs of AWS service responses, it streamlines cloud development for AI-powered applications.

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

## Description

An MCP server implementation for AWS services, allowing AI applications to access AWS services like Bedrock, S3, and DynamoDB through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-23

## Source

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

## 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-cdk"
    }
  }
}
```

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