Initial commit: MCP server + web upload interface

Ezer Mishpati - AI legal decision drafting system with:
- MCP server (FastMCP) with document processing pipeline
- Web upload interface (FastAPI) for file upload and classification
- pgvector-based semantic search
- Hebrew legal document chunking and embedding

mcp-server/src/legal_mcp/config.py

@@ -0,0 +1,40 @@
+"""Configuration loaded from central .env file."""
+
+import os
+from pathlib import Path
+
+from dotenv import load_dotenv
+
+# Load from central .env or override path
+dotenv_path = os.environ.get("DOTENV_PATH", str(Path.home() / ".env"))
+load_dotenv(dotenv_path)
+
+# PostgreSQL
+POSTGRES_URL = os.environ.get(
+    "POSTGRES_URL",
+    f"postgres://{os.environ.get('POSTGRES_USER', 'legal_ai')}:"
+    f"{os.environ.get('POSTGRES_PASSWORD', '')}@"
+    f"{os.environ.get('POSTGRES_HOST', '127.0.0.1')}:"
+    f"{os.environ.get('POSTGRES_PORT', '5433')}/"
+    f"{os.environ.get('POSTGRES_DB', 'legal_ai')}",
+)
+
+# Redis
+REDIS_URL = os.environ.get("REDIS_URL", "redis://127.0.0.1:6380/0")
+
+# Voyage AI
+VOYAGE_API_KEY = os.environ.get("VOYAGE_API_KEY", "")
+VOYAGE_MODEL = "voyage-3-large"
+VOYAGE_DIMENSIONS = 1024
+
+# Anthropic (for Claude Vision OCR)
+ANTHROPIC_API_KEY = os.environ.get("ANTHROPIC_API_KEY", "")
+
+# Data directory
+DATA_DIR = Path(os.environ.get("DATA_DIR", str(Path.home() / "legal-ai" / "data")))
+CASES_DIR = DATA_DIR / "cases"
+TRAINING_DIR = DATA_DIR / "training"
+
+# Chunking parameters
+CHUNK_SIZE_TOKENS = 600
+CHUNK_OVERLAP_TOKENS = 100