Enhances search term preparation to handle special characters gracefully while preserving functionality:
- Improves FTS5 query preparation with targeted special character handling
- Preserves boolean operators (AND, OR, NOT) without modification
- Quotes problematic characters that cause syntax errors
- Maintains wildcard patterns for legitimate use cases
- Adds comprehensive error handling with graceful fallback
Includes extensive test coverage:
- 10 new test cases for various search scenarios
- Programming terms (C++, function(), email@domain.com) now searchable
- Malformed syntax handled without crashes
- Boolean and wildcard functionality preserved
Fixes search crashes when users enter queries containing special characters.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
feat: Add multiple projects support
feat: enhanced read_note for when initial result is not found
fix: merge frontmatter when updating note
fix: handle directory removed on sync watch
## Summary
- Add comprehensive documentation to all MCP prompt modules
- Enhance search prompt with detailed contextual output formatting
- Implement consistent logging and docstring patterns across prompt
utilities
- Fix type checking in prompt modules
## Prompts Added/Enhanced
- `search.py`: New formatted output with relevance scores, excerpts, and
next steps
- `recent_activity.py`: Enhanced with better metadata handling and
documentation
- `continue_conversation.py`: Improved context management
## Resources Added/Enhanced
- `ai_assistant_guide`: Resource with description to give to LLM to
understand how to use the tools
## Technical improvements
- Added detailed docstrings to all prompt modules explaining their
purpose and usage
- Enhanced the search prompt with rich contextual output that helps LLMs
understand results
- Created a consistent pattern for formatting output across prompts
- Improved error handling in metadata extraction
- Standardized import organization and naming conventions
- Fixed various type checking issues across the codebase
This PR is part of our ongoing effort to improve the MCP's interaction
quality with LLMs, making the system more helpful and intuitive for AI
assistants to navigate knowledge bases.
🤖 Generated with [Claude Code](https://claude.ai/code)
---------
Co-authored-by: phernandez <phernandez@basicmachines.co>
- incremental sync on watch
- sync non-markdown files in knowledge base
- experimental `read_resource` tool for reading non-markdown files in raw form (pdf, image)
Paul Hernandez