Rabi MCP Server

# MCP Server Configuration MCP_SERVER_NAME=rabi-mcp-server MCP_SERVER_VERSION=1.0.0 PORT=8000 # Computational Settings COMPUTATIONAL_BACKEND=numpy # Options: numpy, jax, numba MAX_HILBERT_DIM=1000 ENABLE_GPU=false PRECISION=double # Options: single, double ENABLE_PARALLEL=true CACHE_RESULTS=true # Performance Settings NUM_THREADS=4 MEMORY_LIMIT_GB=8 ENABLE_JIT_COMPILATION=true # Logging Configuration LOG_LEVEL=INFO # Options: DEBUG, INFO, WARNING, ERROR, CRITICAL LOG_FORMAT=json # Options: json, text ENABLE_PERFORMANCE_LOGGING=true # Optional: Redis for caching # REDIS_URL=redis://localhost:6379 # REDIS_PASSWORD= # REDIS_DB=0 # Optional: GPU Configuration # CUDA_VISIBLE_DEVICES=0 # GPU_MEMORY_FRACTION=0.8 # Optional: Distributed Computing # ENABLE_DISTRIBUTED=false # CLUSTER_ADDRESS= # CLUSTER_PORT= # Security (if needed for production) # API_KEY=your-api-key-here # ALLOWED_ORIGINS=* # ENABLE_CORS=true # Development Settings DEBUG=false RELOAD=false WORKERS=1