# System Patterns
## Architecture
- MCP (Model Context Protocol) server architecture
- AWS SDK integration for CloudWatch logs access
- Command-line interface using stdio transport for MCP communication
## Key Technical Decisions
- Using the MCP protocol to expose CloudWatch logs functionality to AI assistants
- Implementing as a Python-based MCP server
- Using UV inline scripts for dependency management
- Modular design with separate functions for different CloudWatch operations
## Design Patterns
- Tool-based API design following MCP conventions
- Asynchronous operations for AWS API calls
- Clear separation between AWS SDK interaction and MCP protocol handling
- Consistent error handling and response formatting
## Code Organization
- Main server initialization and configuration
- Tool definitions for CloudWatch operations
- AWS SDK integration layer
- Utility functions for formatting and processing log data
MCP directory API
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/serkanh/cloudwatch-logs-mcp'
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