randomm files db mcp

WHAT IT CONNECTS

What randomm files db mcp gives an AI Agent

• **Zero Configuration** - Auto-detects project structure with sensible defaults
• **Real-Time Monitoring** - Continuously watches for file changes
• **Vector Search** - Semantic search for finding relevant code
• **MCP Interface** - Compatible with Claude Code and other LLM tools
• **Open Source Models** - Uses Hugging Face models for code embeddings
• Detect your project files
• Start indexing in the background
• Begin responding to MCP search queries immediately
• Docker
• Docker Compose
• `EMBEDDING_MODEL` - Change the embedding model (default: 'jinaai/jina-embeddings-v2-base-code' or project-specific model)
• `FAST_STARTUP` - Set to 'true' to use a smaller model for faster startup (default: 'false')
• `QUANTIZATION` - Enable/disable quantization (default: 'true')
• `BINARY_EMBEDDINGS` - Enable/disable binary embeddings (default: 'false')
• `IGNORE_PATTERNS` - Comma-separated list of files/dirs to ignore
• The size of the selected model (300-500MB for high-quality models)
• Your internet connection speed
• Models are stored in a Docker volume called `model_cache`
• This volume persists between container restarts and across different projects
• The cache is shared for all projects using Files-DB-MCP on your machine
• You don't need to download the model again for each project
• [Installation Guide](docs/installation_guide.md) - Detailed setup instructions
• [API Reference](docs/api_reference.md) - Complete API documentation
• [Configuration Guide](docs/configuration_reference.md) - Configuration options
• `/src` - Source code
• `/tests` - Unit and integration tests
• `/docs` - Documentation
• `/scripts` - Utility scripts
• `/install` - Installation scripts
• `/.docker` - Docker configuration
• `/config` - Configuration files
• `/ai-assist` - AI assistance files