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chuk-mcp-s3-bucket-manager

chuk-mcp-s3-bucket-manager

by chrishayuk

CHUK MCP S3 Bucket Manager

Overview

The CHUK MCP S3 Bucket Manager is a Python-based tool for managing Amazon S3 buckets using the MCP (Model Context Protocol) runtime. This utility provides a simple interface for listing, creating, and deleting S3 buckets.

Related MCP server: MinIO MCP Server

Features

  • List all S3 buckets

  • Create new S3 buckets

  • Delete existing S3 buckets

  • Optional force deletion of buckets (clearing all objects)

  • Supports custom AWS endpoint and region configuration

Prerequisites

  • Python 3.11+

  • AWS credentials configured

  • Required dependencies (installed automatically via pip)

Installation

You can install the package directly from the repository:

pip install git+https://github.com/chrishayuk/chuk-mcp-s3-bucket-manager.git

Configuration

Environment Variables

  • AWS_ENDPOINT_URL_S3: Optional custom S3 endpoint URL

  • AWS_REGION: AWS region (defaults to us-east-1)

Configuration File

The project uses a config.yaml file to configure the MCP server settings:

host:
  name: "chuk-mcp-s3-bucket-manager"
  log_level: "INFO"

server:
  type: "stdio"

mcp_servers:
  s3_bucket_manager:
    enabled: true
    location: "."
    tools:
      enabled: true
      module: "chuk_mcp_s3_bucket_manager.tools"

Usage

Command-Line Interface

# List buckets
chuk-mcp-s3-bucket-manager list_buckets

# Create a new bucket
chuk-mcp-s3-bucket-manager create_bucket --bucket_name my-new-bucket

# Delete a bucket
chuk-mcp-s3-bucket-manager delete_bucket --bucket_name my-bucket

# Force delete a bucket (remove all objects first)
chuk-mcp-s3-bucket-manager delete_bucket --bucket_name my-bucket --force

Programmatic Usage

from chuk_mcp_s3_bucket_manager import tools

# List buckets
buckets = tools.list_buckets()

# Create a bucket
result = tools.create_bucket("my-new-bucket")

# Delete a bucket
result = tools.delete_bucket("my-bucket", force=False)

Development

Setup

  1. Clone the repository

  2. Create a virtual environment

  3. Install development dependencies:

pip install -e .[dev]

Running Tests

pytest tests/

Dependencies

  • boto3

  • chuk-mcp-runtime

  • pydantic

  • PyYAML

License

[Specify your license here]

Contributing

Contributions are welcome! Please submit pull requests or open issues on the GitHub repository.

Support

For issues or questions, please file an issue on the GitHub issue tracker.

Available Tools

3 tools
create_bucketC

Create a new S3 bucket

Inputs: bucket_name (required).

delete_bucketC

Delete an S3 bucket

Inputs: force (required), bucket_name (required).

list_bucketsA

List all S3 buckets

Inputs: no named parameters.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.6/5.0

    Scored across 3 tools

    Disambiguation5/5

    The three tools—list, create, delete—are clearly distinct actions on S3 buckets with no overlap. An agent can easily select the right tool based on the desired operation.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with underscores (list_buckets, create_bucket, delete_bucket), making the set predictable and easy to navigate.

    Tool Count5/5

    With only three tools, the set is minimal but perfectly scoped for a basic S3 bucket manager. Each tool covers an essential operation without redundancy.

    Completeness3/5

    The set covers list, create, and delete, but lacks an update operation and a way to fetch details of a specific bucket. While list_buckets can serve as a read, the absence of update leaves a notable gap for a 'manager'.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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