Metal MCP Server

# MCP-WebResearch Improvements Plan ## Phase 1: High Priority Improvements ### 1. Intelligent Search Queue System [IN PROGRESS] Implementation Steps: 1. Create SearchQueue class to manage search operations - Add queue data structure for pending searches - Implement rate limiting with exponential backoff - Add progress tracking and status reporting - Handle error recovery and retries 2. Add new tool endpoints: - batch_search: Queue multiple searches - get_queue_status: Check search queue progress - cancel_search: Cancel pending searches 3. Enhance search results aggregation: - Implement result deduplication - Add result sorting options - Improve error handling and recovery 4. Add queue persistence: - Save queue state between sessions - Handle interrupted searches - Implement queue recovery Testing Criteria: - Queue should handle at least 50 searches without triggering anti-bot measures - Rate limiting should adapt to Google's response patterns - Progress updates should be accurate and timely - Results should be properly aggregated and deduplicated ### 2. Enhanced Content Extraction & Relevance Scoring [IN PROGRESS] Implementation Steps: 1. Improve content relevance scoring: - Implement TF-IDF scoring - Add keyword proximity analysis - Add content section weighting - Implement readability scoring 2. Enhance content extraction: - Improve HTML structure parsing - Add support for common content patterns - Implement better content cleaning - Add structured data extraction 3. Add content summarization: - Implement extractive summarization - Add key points extraction - Generate section summaries - Preserve important metadata 4. Improve markdown conversion: - Enhance formatting preservation - Better handle tables and lists - Improve code block handling - Better preserve document structure Testing Criteria: - Content relevance scores should align with human judgment - Extracted content should be clean and well-formatted - Structured data should be accurately identified - Summaries should capture key information - Markdown output should be consistently formatted ## Implementation Notes: - Each feature will be implemented incrementally - Testing will be done after each major component - Code reviews required before merging - Performance benchmarks will be maintained ## Status Tracking: [ ] Feature 1 Started [ ] Feature 1 Tested [ ] Feature 1 Complete [ ] Feature 2 Started [ ] Feature 2 Tested [ ] Feature 2 Complete ## Dependencies to Add: - tf-idf-search (for relevance scoring) - readability (for content analysis) - html-to-md (for improved markdown conversion) - rate-limiter-flexible (for queue management)