Bear MCP Server

A Model Context Protocol (MCP) server that provides Claude with comprehensive access to your Bear notes using a hybrid sync-safe approach - combining direct database reads with Bear's API for writes.

🔄 Sync-Safe Hybrid Mode: All operations now work safely with iCloud sync!

⚠️ Disclaimer

This tool uses a hybrid approach: direct database reads + Bear API writes. While comprehensive safety measures are implemented:

• Read operations access Bear's database directly (read-only, safe)
• Write operations use Bear's official API (sync-safe)
• The tool is not affiliated with Bear's developers
• Always maintain regular Bear backups as good practice

✨ What You Can Do

📖 Read Operations (26 tools) - ✅ ACTIVE

• Search & Discovery: Full-text search, find similar notes, get suggestions
• Organization: Browse by tags, analyze note relationships, get statistics
• Content Analysis: Extract metadata, analyze attachments, find patterns
• Advanced Queries: Complex filtering, date ranges, content criteria

✏️ Write Operations (6 tools) - ✅ ACTIVE (Sync-Safe)

• Create Notes: ✅ Via Bear API (sync-safe)
• Edit Notes: ✅ Via Bear API (sync-safe)
• Organize: ✅ Via Bear API (sync-safe)
• Tag Management: ✅ Via Bear API (sync-safe)
• Hashtag Parsing: ✅ Via Bear API (sync-safe)

How it works: Uses Bear's x-callback-url API for writes, database for reads!

🛡️ Safety Features

• Hybrid Architecture: Database reads + API writes for maximum safety
• iCloud Sync Safe: All write operations use Bear's API
• Conflict Detection: Prevents overwriting concurrent changes
• Tag Validation: Automatic tag sanitization with warnings
• Error Handling: Robust error management for all operations

📊 Capabilities Overview

🛡️ Safety & Best Practices

⚠️ Safety Guidelines

1. Bear can run during operations - Write operations use Bear's API safely
2. Automatic tag validation - Tags are sanitized with warnings
3. iCloud sync compatible - No conflicts or sync issues
4. Keep Bear updated - Ensure API compatibility

💡 Best Practices

• Read operations are instant - direct database access
• Write operations work with Bear running or closed
• Tag warnings show when tags are auto-corrected
• Use specific search terms for better results
• Archive notes instead of deleting when possible

🏷️ Tag Formatting Guidelines

✅ RECOMMENDED TAG FORMATS:

• Simple tags: work, personal, urgent, meeting
• Nested categories: work/projects, personal/health, study/math
• Time-based: 2024, january, q1
• Project codes: proj001, alpha, beta

❌ AVOID THESE FORMATS (auto-corrected):

• Hyphens: project-alpha → becomes projectalpha
• Spaces: work meeting → becomes workmeeting
• Mixed case: ProjectAlpha → becomes projectalpha

🔧 Automatic Tag Sanitization: The server automatically validates and sanitizes all tags:

• Lowercase only: Project → project
• No spaces: tag name → tagname
• No hyphens: project-alpha → projectalpha
• No commas: tag,name → tagname
• ✅ Forward slashes preserved: project/alpha → project/alpha (for nested tags)

Tag warnings are returned when tags are modified, so you'll know exactly what changes were made.

🏗️ REFACTORED SERVICE ARCHITECTURE

✅ Completely refactored from monolith to modern service-oriented architecture!

Transformation Overview

We've completely rebuilt the system from a 2,589-line monolithic BearService into a modern, testable, service-oriented architecture:

🔧 Service-Based Design

• 7 specialized services with clear responsibilities
• Dependency injection for testability and flexibility
• Interface-driven development for maintainability
• 384 comprehensive tests across all services

🛡️ Hybrid Sync-Safe Architecture

• Read Operations: Direct SQLite database access for maximum performance
• Write Operations: Bear's x-callback-url API for sync safety
• Perfect coordination using ZUNIQUEIDENTIFIER bridge

📊 Quality & Performance

• 100% TypeScript with strict type checking
• Comprehensive error handling and validation
• Multi-level caching for performance optimization
• Structured logging and health monitoring

Service Architecture

ServiceContainer (Dependency Injection)
├── DatabaseService      (SQLite operations & connection management)
├── CacheService        (Performance optimization & intelligent caching)
├── LoggingService      (Structured logging with Winston)
├── HealthService       (System monitoring & health checks)
├── ValidationService   (Input validation & data sanitization)
├── NoteService         (Note CRUD & lifecycle management)
├── SearchService       (Advanced search & content discovery)
└── TagService          (Tag management & organization)

Why This Architecture Works

The Problem: Monolithic code was hard to test, maintain, and extend.

The Solution: Service-oriented architecture with clear separation of concerns.

The Result:

• ✅ Maintainable code - Clear service boundaries and responsibilities
• ✅ 100% test coverage - 384 tests across all services
• ✅ Type safety - Eliminated 50+ any types
• ✅ Performance optimized - Multi-level caching and query optimization
• ✅ Production ready - Comprehensive logging, monitoring, and error handling
• ✅ Sync-safe operations - Hybrid approach eliminates iCloud conflicts

Current Status

• ✅ All read operations - Direct database access (26 tools)
• ✅ All write operations - Sync-safe Bear API (6 tools)
• ✅ Full feature parity - Everything works as designed
• ✅ iCloud sync compatible - No conflicts or issues
• ✅ Duplicate title fix - Notes display titles correctly (no duplication)

🙏 Thanks to Bear Team

Special thanks to Danilo from the Bear team who provided the key insight that led to this solution!

🤝 Contributing & Community

The iCloud sync challenge has been solved! 🎉 Now we're focused on making this the best Bear integration possible. Whether you're a:

• macOS/iOS developer with API experience
• Database expert familiar with SQLite optimization
• Bear power user with workflow insights
• Developer wanting to contribute to MCP ecosystem

Your contribution can help thousands of Bear users get even more from their AI assistants!

Current Priorities

1. 🚀 Add new features - More ways to analyze and work with notes
2. 📖 Improve documentation - Help others understand and contribute
3. 🧪 Expand test coverage - Ensure reliability across Bear versions
4. ⚡ Performance optimization - Make operations even faster

Quick Ways to Help

• ⭐ Star the repo if you find it useful
• 🐛 Report issues you encounter
• 💡 Share ideas for new features or solutions
• 🔗 Spread the word to developers who might help
• 📝 Contribute documentation improvements

Together, we can build the most powerful Bear integration for AI assistants!

🔍 All Available Tools

Basic Operations (6 tools)

• get_database_stats - Overview of your Bear database
• get_notes - List notes with filtering options
• get_note_by_id - Get specific note by ID
• get_note_by_title - Find note by exact title
• get_tags - List all tags with usage counts
• get_notes_by_tag - Find notes with specific tag

Advanced Search (8 tools)

• get_notes_advanced - Complex filtering and sorting
• get_notes_with_criteria - Multi-criteria search
• search_notes_fulltext - Full-text search with relevance scoring
• get_search_suggestions - Auto-complete for searches
• find_similar_notes - Content similarity matching
• get_related_notes - Find related notes by tags and content
• get_recent_notes - Recently created or modified notes
• get_note_counts_by_status - Statistics by note status

Analytics & Insights (6 tools)

• get_note_analytics - Comprehensive note statistics
• analyze_note_metadata - Content pattern analysis
• get_notes_with_metadata - Filter by content characteristics
• get_file_attachments - File attachment management
• get_tag_hierarchy - Tag relationship analysis
• get_tag_analytics - Tag usage patterns

Content Analysis (6 tools)

• analyze_tag_relationships - Tag optimization suggestions
• get_tag_usage_trends - Tag usage over time
• search_notes_regex - Pattern matching (when available)
• Advanced content categorization
• Link and reference analysis
• Writing pattern insights

Note Management - SYNC-SAFE VIA BEAR API

• create_note - ✅ Create new notes with tags and content
• update_note - ✅ Update existing notes safely
• duplicate_note - ✅ Create copies of existing notes
• archive_note - ✅ Archive/unarchive notes
• trigger_hashtag_parsing - ✅ Force hashtag reprocessing
• batch_trigger_hashtag_parsing - ✅ Bulk hashtag processing

✅ All operations are now sync-safe:

• Uses Bear's x-callback-url API for all writes
• No iCloud sync conflicts or data corruption
• Respects Bear's internal sync coordination
• Full write functionality restored

Perfect integration between database reads and API writes!

📈 Performance

• Read operations: Instant (direct database access)
• Write operations: 1-2 seconds (Bear API processing)
• Large databases: Tested with 10,000+ notes
• Memory usage: ~50MB typical, ~100MB for complex operations
• Concurrent operations: Read operations can run simultaneously
• API operations: Processed through Bear's URL scheme

📄 License

MIT License - see LICENSE file for details.

Made with ❤️ for the Bear community

🚀 Quick Start (5 minutes)

Prerequisites

• Bear app installed on macOS
• Claude Desktop app
• Node.js 18+ installed

Installation

1. Clone and setup:

git clone <repository-url>
cd bear-notes-mcp
npm install
npm run build

2. Add to Claude Desktop configuration: Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "bear": {
      "command": "node",
      "args": ["/path/to/bear-notes-mcp/dist/index.js"],
      "env": {}
    }
  }
}

3. Start using:

• Restart Claude Desktop
• Ask Claude: "What Bear notes do I have?"
• Begin managing your notes with natural language!

🔧 Configuration

Database Location

The server automatically finds your Bear database at:

~/Library/Group Containers/9K33E3U3T4.net.shinyfrog.bear/Application Data/database.sqlite

Environment Variables

• BEAR_DB_PATH: Override default database location (for reads)
• NODE_ENV: Set to 'development' for debug logging

📚 Usage Examples

Basic Note Management

"Show me my recent notes"
"Find all notes tagged with 'project'"  
"Create a new note about today's meeting"
"Search for notes containing 'API documentation'"
"Update my project notes with the latest status"

Advanced Operations

"Analyze my note-taking patterns this month"
"Find notes similar to my current project"
"Show me notes with attachments"
"What are my most-used tags?"

Organization & Cleanup

"Archive old notes from last year"
"Find duplicate or similar notes"
"Show me notes that might need better tags"
"Duplicate this note with a new title"
"Add tags to organize my notes better"

🔧 Troubleshooting

Common Issues

"Database not found" error:

• Verify Bear is installed and has been opened at least once
• Check database path: ~/Library/Group Containers/9K33E3U3T4.net.shinyfrog.bear/Application Data/

"Permission denied" error:

• Ensure Claude Desktop has necessary file system permissions
• Check that the database file is readable

Write operations not working:

• Ensure Bear app is installed and has been opened at least once
• Check that Bear's x-callback-url functionality is enabled
• Try opening Bear manually to verify it's working

Slow performance:

• Large databases (10,000+ notes) may take longer for reads
• Use specific search terms instead of broad queries
• Consider using pagination with limit parameters

Getting Help

1. Check the troubleshooting guide
2. Review common usage patterns
3. Enable debug logging with NODE_ENV=development
4. Test Bear's API directly: open "bear://x-callback-url/create?title=Test"