Add community opensource server : AWS Resources Operations

[baryhuang]

Description

Implemented AWS Resources MCP Server that allows executing Python code with boto3 to query and interact with AWS resources.

Server Details

• Server:
  https://github.com/baryhuang/mcp-server-aws-resources-python
• Changes to:
  Tools

Motivation and Context

Created this server to address limitations with existing AWS integration options:

1. AWS Chatbot has restrictive free tier limits (25 queries/month) with expensive paid tiers
2. Existing aws-mcp implementation had setup challenges, stability issues on macOS, and was built on Node.js
3. Needed a containerized solution that leverages Python/boto3 for better stability and easier contribution from Python developers
   This implementation provides a clean, stable Docker-based solution that requires minimal setup and supports full boto3 capabilities for interacting with AWS resources.

How Has This Been Tested?

• I have been using this tool every week with Claude Desktop client for a few month since I created it.
• Verified complex cloudfront resolutions, permission resolutions, etc.
• Tested complex queries like retrieving CodePipeline deployment information
• Validated cross-platform compatibility (Linux/amd64, Linux/arm64, Linux/arm/v7)
• Tested both authentication methods (direct AWS credentials and AWS profile)

Breaking Changes

N/A

Types of changes

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to change)
• Documentation update

Checklist

• I have read the MCP Protocol Documentation
• My changes follows MCP security best practices
• I have updated the server's README accordingly
• I have tested this with an LLM client
• My code follows the repository's style guidelines
• New and existing tests pass locally
• I have added appropriate error handling
• I have documented all environment variables and configuration options

Additional context