MCP Module for S3 Resource Orchestration

This dedicated MCP server furnishes operational capabilities for engaging with AWS S3 storage buckets. It permits direct invocation of S3 management functions through the standard MCP interface.

Core Toolset

This service currently exposes the subsequent functional instruments:

• inventory-s3-buckets: Enumerates all accessible S3 containers within the associated AWS tenancy.
• Supports an optional region designator to target a specific AWS geographical area.
• Yields a structured compilation of bucket identifiers.

System Requirements

To deploy and operate this component, the following prerequisites must be satisfied:

• A runtime environment featuring Python version 3.13 or newer.
• Properly configured AWS access credentials (refer to the Credential Configuration section).
• The uv package management utility.

Deployment Instructions

Installation via PyPI

Execute the following command using the uvx wrapper: bash uvx install s3-tools

Building from Source Code

1. Obtain the source code repository.
2. Employ uv for local installation: bash uv pip install .

Credential Configuration

Access to S3 resources necessitates validated AWS authentication parameters. Methods for setup include:

1. AWS CLI Defaulting (Recommended Practice) bash aws configure

This action typically updates credentials stored in ~/.aws/credentials.

1. Environment Variable Overrides bash export AWS_ACCESS_KEY_ID="your_access_key" export AWS_SECRET_ACCESS_KEY="your_secret_key" export AWS_DEFAULT_REGION="your_preferred_region" # Optional setting

2. IAM Role Assumption (Applicable when hosted on AWS infrastructure)

Consult the official AWS documentation for comprehensive details on credential provisioning.

System Integration

Claude Desktop Manifestation

Integrate this server definition into your Claude Desktop configuration file:

macOS Path: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows Path: %APPDATA%/Claude/claude_desktop_config.json

{ "mcpServers": { "s3-tools": { "command": "uvx", "args": ["s3-tools"] } } }

Local Development Setup

For testing and iterative enhancement, run the server directly from its source directory:

{ "mcpServers": { "s3-tools": { "command": "uv", "args": [ "--directory", "/path/to/s3-tools", "run", "s3-tools" ] } } }

Development Lifecycle

Artifact Generation

1. Synchronize required dependencies: bash uv sync

2. Produce the distributable package: bash uv build

Publication Protocol

To disseminate the package to PyPI:

bash uv publish

Note: Secure authorization requires either setting the --token flag or utilizing environment variables like UV_PUBLISH_TOKEN (or username/password pairs).

Diagnostic Procedures

As MCP servers communicate via standard input/output streams, direct debugging can be complex. We recommend leveraging the MCP Inspector utility for inspection:

bash npx @modelcontextprotocol/inspector uv run s3-tools

Licensing

This software is distributed under the MIT License.

Collaboration

We welcome external contributions. Please submit a Pull Request with your enhancements.

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