Cookiecutter MCP UV Container

- Superior Security: Each container runs in its own lightweight VM
- macOS Native: Deep integration with macOS frameworks
- On-Demand: Start/stop servers as needed (not constantly running)
- Resource Efficient: Less overhead than traditional VMs
- OCI Compatible: Works with existing container registries

- 🚀 FastMCP server setup with example tools
- 🐳 Multi-stage Dockerfile for optimized containers
- 📦 UV package management
- 🔒 VM-level isolation with non-root container user
- 🌐 Multiple transport methods (stdio, streamable-http, sse)
- 🍎 Optimized for Apple Silicon
- 📝 Example calculator tools with typed parameters

curl -LsSf https://astral.sh/uv/install.sh | sh

Visithttps://github.com/apple/container

my-mcp-server/ ├── Dockerfile # Multi-stage build for containers ├── pyproject.toml # UV project configuration ├── hello.py # MCP server implementation ├── QUICKSTART.md # Quick start guide └── .env.example # Environment configuration

cd my-mcp-server # or whatever you put as project-slug

container build --tag my-mcp . # Replace my-mcp with whatever you want to name the container

# Interactive stdio mode container run --interactive my-mcp

{ "mcpServers": { "My MCP Server (Local)": { "command": "uv", "args": ["run", "fastmcp", "/path/to/my-mcp-server/hello.py"] } } }

Option 2: Use HTTP transport with container

Then configure Claude Desktop to connect via STDIO:

{ "mcpServers": { "My MCP Server (Container)": { "command": "container", "args": ["run", "--interactive", "my-mcp-container"] } } }

The template supports multiple transport methods via environment variables:

- stdio: Default
- More in progress for flow from local-> cloud

Set via:MCP_TRANSPORT=<transport-type>

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