MinIO MCP Server

MinIO MCP Server

A Model Context Protocol (MCP) server that provides a bridge between MCP-compatible clients and MinIO object storage. It exposes MinIO operations as MCP tools for seamless bucket management and object operations.

Category
访问服务器

README

MinIO MCP Server

A Model Context Protocol (MCP) server that provides a bridge between MCP-compatible clients and MinIO object storage. This server exposes MinIO operations as MCP tools for seamless bucket management and object operations.

Features

  • 7 MCP Tools organized by domain for comprehensive MinIO operations:

Bucket Management

  • list_buckets: List all available buckets with creation dates
  • get_bucket_info: Get detailed bucket information (metadata, policies, object count, total size, encryption)
  • create_bucket: Create new buckets with name validation and existence checks
  • delete_bucket: Delete buckets (empty only) or force delete with all contents

Object Management

  • list_objects: List objects with filtering (prefix, recursive) and configurable limits (default 25)
  • get_object_info: Get detailed object metadata (size, content-type, etag, version info, custom metadata)
  • delete_object: Delete objects from buckets with optional version support for versioned objects

Key Features

  • FastMCP Integration: Built on FastMCP framework for robust MCP protocol support
  • Comprehensive Validation: Input validation, error handling with appropriate HTTP status codes (400, 404, 409, 500)
  • Async Architecture: Full async/await support for MCP protocol compliance
  • Modular Design: Separated concerns with BucketTools and ObjectTools classes
  • Extensive Testing: 100% test coverage with advanced mocking techniques
  • Standardized Responses: Consistent error handling via TextContent entity

Quick Start

Prerequisites

  • Python 3.11 or higher
  • MinIO server (local or remote)
  • UV package manager (recommended)

Installation

# Clone the repository
git clone <repository-url>
cd minio-mcp-server

# Install dependencies
uv sync

# Install in development mode
uv pip install -e .

Configuration

  1. Copy the example environment file:
cp .env.example .env
  1. Configure your MinIO connection in .env:
MINIO_ENDPOINT=localhost:9000
MINIO_ACCESS_KEY=minioadmin
MINIO_SECRET_KEY=minioadmin
MINIO_SECURE=false
MINIO_LOG_LEVEL=INFO

Running the Server

# Start the MCP server (stdio transport for Claude Desktop)
uv run python src/minio_mcp/server.py

# Test with MCP Inspector (interactive testing)
uv run mcp src/minio_mcp/server.py

# Alternative: Direct python execution
cd src/minio_mcp
python server.py

Using with Claude Desktop

To connect this MCP server with Claude Desktop:

1. Configure Claude Desktop

Edit your Claude Desktop configuration file:

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

Add this configuration (adjust paths for your system):

{
  "mcpServers": {
    "minio-mcp-server": {
      "command": "/Users/your_username/.local/bin/uv",
      "args": [
        "--directory",
        "/path/to/your/minio-mcp-server",
        "run",
        "python",
        "src/minio_mcp/server.py"
      ],
      "env": {
        "MINIO_ENDPOINT": "localhost:9000",
        "MINIO_ACCESS_KEY": "minioadmin",
        "MINIO_SECRET_KEY": "minioadmin",
        "MINIO_SECURE": "false"
      }
    }
  }
}

2. Restart Claude Desktop

After saving the configuration, completely restart Claude Desktop.

3. Test the Connection

Try commands like:

  • "List all buckets in MinIO"
  • "Show me information about the 'my-bucket' bucket"
  • "List the first 10 objects in 'my-bucket'"
  • "Get information about 'file.txt' in 'my-bucket'"
  • "Delete 'old-file.txt' from 'my-bucket'"

Architecture

Core Components

  • FastMCP Server (server.py): Main MCP protocol handler using FastMCP framework
  • MinioClient (infrastructure/minio_client.py): Infrastructure layer with MinIO client management and configuration
  • BucketTools (tools/bucket_tools.py): Business logic for bucket operations with validation and error handling
  • ObjectTools (tools/object_tools.py): Business logic for object operations with comprehensive metadata extraction
  • TextContent (tools/entities.py): Standardized response entity for consistent error handling

Data Flow

MCP Client → FastMCP Server → BucketTools/ObjectTools → MinioClient → MinIO Server

Configuration Options

Environment Variable Description Default
MINIO_ENDPOINT MinIO server endpoint Required
MINIO_ACCESS_KEY Access key for authentication Required
MINIO_SECRET_KEY Secret key for authentication Required
MINIO_SECURE Use HTTPS (true/false) true
MINIO_LOG_LEVEL Logging level (DEBUG/INFO/WARNING/ERROR) INFO
MINIO_MAX_OBJECTS_LIST Maximum objects per list operation 25

Development

Setting up a Test MinIO Server

docker run -p 9000:9000 -p 9001:9001 \
  --name minio-test \
  -e "MINIO_ROOT_USER=minioadmin" \
  -e "MINIO_ROOT_PASSWORD=minioadmin" \
  quay.io/minio/minio server /data --console-address ":9001"

Running Tests

# Run all tests
uv run pytest

# Run with coverage report
uv run pytest --cov=src/minio_mcp --cov-report=html

# Run specific test files
uv run pytest tests/tools/test_bucket_tools.py -v
uv run pytest tests/tools/test_object_tools.py -v
uv run pytest tests/infrastructure/test_minio_client.py -v

# Test specific functionality
uv run pytest -k "test_create_bucket" -v

Code Quality

# Lint and format check
uv run ruff check src tests

# Auto-format code
uv run ruff format src tests

# Type checking
uv run mypy src

License

[Add your license here]

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests for new functionality
  5. Ensure all tests pass and code quality checks succeed
  6. Submit a pull request

Support

For issues and questions, please check the documentation or open an issue in the repository.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选