# AWS Resources

> Use this tool when you need to interact with AWS services programmatically, simplifying DevOps tasks and cloud resource management. It provides a Python-based interface using boto3, allowing AI models to execute AWS queries across services like S3 and CodePipeline. Ideal for integrating AWS functionality into AI-powered workflows, offering a secure and customizable solution for deploying and managing cloud resources.

Canonical page: https://skillsregistry.net/skills/buryhuang-aws-resources-python  
JSON: https://api.skillsregistry.net/v1/skills/buryhuang-aws-resources-python

## Description

This AWS Resources MCP server, developed by peakmojo, provides a Python-based interface for AI models to interact with AWS services using boto3. Built to address limitations in existing solutions, it offers a containerized approach that simplifies deployment and enhances stability. The server exposes a dynamic resource for executing AWS queries, supporting operations across various AWS services like S3 and CodePipeline. It features a sandboxed environment for code execution, ensuring security while allowing flexibility in query construction. This implementation is particularly useful for DevOps tasks, cloud resource management, and integrating AWS functionality into AI-powered workflows, offering a more accessible and customizable alternative to AWS Chatbot with Developer Access.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** scanned
- **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/buryhuang-aws-resources-python)
- **Repository:** <https://github.com/baryhuang/mcp-server-aws-resources-python>

## 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": "buryhuang-aws-resources-python"
    }
  }
}
```

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