What features does AWS Resources Operations MCP server provide?

Q: What features does AWS Resources Operations MCP server provide?

aws_resources_query_or_modify tool: Executes a boto3 code snippet to query or modify AWS resources. Requires setting a result variable and supports a defined set of imports and built-ins.. Dynamic AWS resource interface: Provides access to AWS resources through the dynamic resource aws://query_resources for boto3 operations.. AST-based safety validation: Uses abstract syntax tree analysis to validate imports and code structure before execution.. Restricted execution environment: Runs user code in a sandbox with limited built-ins to enhance safety and isolation.. JSON-serialized results: Outputs query/manipulation results as JSON, with proper handling of AWS objects and datetime values.. Error handling and reporting: Provides robust error reporting to diagnose issues in code snippets and AWS operations.

AWS Resources Operations MCP Server 2025: Features & Setup Guide

Overview

AWS Resources MCP Server provides a sandboxed MCP execution environment that runs pre-generated Python code to query or modify AWS resources using boto3. It exposes a dynamic resource interface named aws://query_resources for performing boto3-based queries. A dedicated tool, aws_resources_query_or_modify, accepts a Python code snippet (which must set a variable named result) and returns the query output as JSON. The system employs AST-based code analysis to validate imports and structure, a restricted execution environment with limited built-ins, and robust error handling to report issues clearly. Results are serialized to JSON with proper handling of AWS-specific objects and datetime values. Prerequisites include AWS credentials (via environment variables such as AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION or an AWS_PROFILE) and optional Docker-based deployment. The README also demonstrates usage through examples (e.g., listing S3 buckets, retrieving the latest CodePipeline deployment) and notes cross-platform publishing via Docker Buildx and Smithery installation. This server targets Python developers and operations teams seeking containerized, sandboxed AWS resource queries and controlled modifications.

Features

aws_resources_query_or_modify tool

Executes a boto3 code snippet to query or modify AWS resources. Requires setting a result variable and supports a defined set of imports and built-ins.

Dynamic AWS resource interface

Provides access to AWS resources through the dynamic resource aws://query_resources for boto3 operations.

AST-based safety validation

Uses abstract syntax tree analysis to validate imports and code structure before execution.

Restricted execution environment

Runs user code in a sandbox with limited built-ins to enhance safety and isolation.

JSON-serialized results

Outputs query/manipulation results as JSON, with proper handling of AWS objects and datetime values.

Error handling and reporting

Provides robust error reporting to diagnose issues in code snippets and AWS operations.