Replace Claude Vision OCR with Google Cloud Vision

Benchmark results on Hebrew legal docs (case 1130-25):
- Google Vision: 1s/page, $0.001/page, high accuracy
- Claude Opus Vision: 90s/page, $0.05/page, poor accuracy
- PyMuPDF broken OCR layers now detected via quality check

Changes:
- extractor.py: Google Vision OCR with Hebrew language hint (300 DPI)
- extractor.py: text quality detection (word length, words-per-line, Hebrew ratio)
- extractor.py: Hebrew abbreviation quote fixer (15 known patterns)
- config.py: add GOOGLE_CLOUD_VISION_API_KEY, remove ANTHROPIC_API_KEY
- pyproject.toml: add google-cloud-vision, remove anthropic

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

mcp-server/pyproject.toml

@@ -8,7 +8,6 @@ dependencies = [
     "asyncpg>=0.29.0",
     "pgvector>=0.3.0",
     "voyageai>=0.3.0",
-    "anthropic>=0.40.0",
     "python-dotenv>=1.0.0",
     "pydantic>=2.0.0",
     "pymupdf>=1.25.0",
@@ -17,6 +16,7 @@ dependencies = [
     "redis>=5.0.0",
     "rq>=1.16.0",
     "pillow>=10.0.0",
+    "google-cloud-vision>=3.7.0",
 ]
 
 [build-system]