# AWS Resource Manager

> Use this tool when you need to manage AWS resources, such as S3 buckets and DynamoDB tables, through AI-assisted interactions. It solves problems like automating DevOps workflows, providing quick access to cloud resources, and streamlining routine maintenance tasks. The tool accepts operational requests as input and returns the results of actions like creating/deleting buckets, uploading/downloading objects, and performing CRUD operations, with audit logs available for monitoring.

Canonical page: https://skillsregistry.net/skills/rishikavikondala-aws-resource-manager  
JSON: https://api.skillsregistry.net/v1/skills/rishikavikondala-aws-resource-manager

## Description

This MCP server, developed by Rishika Vikondala, enables AI assistants like Claude to interact with AWS resources, specifically S3 and DynamoDB services. It provides tools for common operations such as creating/deleting S3 buckets, uploading/downloading objects, and performing CRUD operations on DynamoDB tables and items. The server integrates with the AWS SDK and automatically logs all operations, making them accessible through an audit endpoint. By bridging AI capabilities with AWS infrastructure management, this implementation facilitates easier cloud resource manipulation and monitoring. It is particularly useful for DevOps teams automating AWS workflows, developers needing quick access to cloud resources, or system administrators performing routine maintenance tasks through AI-assisted interactions.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **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/rishikavikondala-aws-resource-manager)
- **Repository:** <https://github.com/rishikavikondala/mcp-server-aws>

## 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": "rishikavikondala-aws-resource-manager"
    }
  }
}
```

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

---
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