Docker Deployment Support Implementation #78
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- Add Dockerfile and docker-compose configuration files - Add Windows and Linux startup scripts (start.ps1, start.sh) - Add environment variables template (env.example) - Update README.md with Docker deployment documentation - Update server and validation code - Add .dockerignore file - Update .gitignore file
- Add Python cache and compiled file patterns - Add virtual environment directories - Add IDE and editor temporary files - Add OS-specific files (DS_Store, Thumbs.db) - Add testing and coverage files - Add temporary file patterns
- Add new tool functions: insert_rows, insert_columns, delete_sheet_rows, delete_sheet_columns - Change run_sse() to async def run_sse() to match upstream - Add missing imports for row/column operations from sheet module - Keep Docker deployment enhancements while integrating upstream improvements
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he recent modifications to the Excel MCP Server project introduce comprehensive Docker deployment capabilities, transforming it into a production-ready containerized application.
Key implementations include:
Multi-stage Dockerfile with Python 3.12 slim base, security hardening, and health monitoring
Dual Docker Compose configurations - development (docker-compose.yml) and production (docker-compose.prod.yml) with resource controls and security optimizations
Cross-platform deployment scripts - Linux/macOS (start.sh) and Windows PowerShell (start.ps1) for automated service management
Environment configuration system with templated variables for flexible path mapping, port configuration, and logging
Container optimization including .dockerignore, layer minimization, and persistent volume management
Technical benefits: The implementation enables scalable deployment across environments, provides consistent containerized execution, supports all MCP transport protocols (stdio, SSE, streamable HTTP), and includes comprehensive service lifecycle management with health checks and monitoring capabilities.
Deployment ready: Services can be launched with simple commands (./start.sh start or docker-compose up -d), making the Excel MCP Server immediately deployable in any Docker-supported environment from development to production.