mcp-openvision

# Project Progress ## Current Status The project is in the **implementation stage** with core MCP server functionality implemented and enhanced image handling capabilities added. We are focusing on practical features and MCP compliance. ## What Works ### Core Functionality - ✅ Basic MCP server implementation in `server.py` - ✅ `image_analysis` tool for general image analysis - ✅ Support for multiple image input formats: - ✅ Base64-encoded image data - ✅ Image URLs (http/https) - ✅ Local file paths - ✅ Support for multiple vision models from OpenRouter - ✅ Basic environment variable configuration - ✅ Error handling via `exceptions.py` ### Documentation - ✅ Comprehensive README with installation and usage instructions - ✅ Examples for different image input methods - ✅ Development documentation in `.ai/memory-bank/` directory ### Testing - ✅ Unit tests for core functionality - ✅ Tests for all image input formats - ✅ Mocked API responses for predictable testing ## What's Left to Build ### Enhancement Opportunities - ⬜ Additional image preprocessing utilities - ⬜ Support for more specialized vision tasks - ⬜ Performance optimization for large images ### Documentation Improvements - ⬜ More comprehensive examples for all models - ⬜ Troubleshooting guide with common errors ## Recent Progress 1. **Enhanced Image Handling**: - Added support for image URLs - Added support for local file paths - Implemented automatic conversion to base64 - Added robust detection of input formats 2. **Improved Testing**: - Added tests for all image input formats - Implemented test fixtures for consistent testing - Added mocked API responses 3. **Code Quality Improvements**: - Applied black formatting to all code - Enhanced error handling - Added more comprehensive type hints ## Known Issues 1. **Test Coverage**: Could benefit from even more comprehensive tests 2. **Documentation**: Examples could be expanded for more use cases ## Next Milestones ### Milestone 1: Refinement (Target: 2 weeks) - ⬜ Additional examples for all supported models - ⬜ Optimization for large images - ⬜ Enhanced error messages and troubleshooting ### Milestone 2: Advanced Features (Target: +2 weeks) - ⬜ Additional specialized vision tools - ⬜ More configuration options - ⬜ Performance optimizations ## Progress Metrics | Category | Complete | Total | Percentage | | -------------------- | -------- | ------ | ---------- | | Core Functionality | 6 | 6 | 100% | | Error Handling | 1 | 1 | 100% | | Documentation | 3 | 5 | 60% | | Testing | 3 | 3 | 100% | | Helper Utilities | 2 | 4 | 50% | | **Overall Progress** | **15** | **19** | **79%** |