final basiclly

mcp_server.py

@@ -18,6 +18,7 @@ import uvicorn
 from starlette.middleware.cors import CORSMiddleware
 from starlette.middleware.base import BaseHTTPMiddleware
 from starlette.requests import Request
+import httpx
 from mcp.server.transport_security import TransportSecuritySettings, TransportSecurityMiddleware
 
 TransportSecurityMiddleware.__init__ = lambda self, settings=None: setattr(
@@ -39,6 +40,8 @@ with open(project_root / "data" / "processed" / "parent_lookup.json") as f:
 # ── Config ─────────────────────────────────────────────────────────────────
 TOP_K = 10
 
+
+
 # ── Embed ──────────────────────────────────────────────────────────────────
 def embed_query(query: str) -> np.ndarray:
     return model.encode(
@@ -160,6 +163,7 @@ def search_textbook(query: str) -> str:
 
     return header + passages + footer
 
+    
 # ── Run ────────────────────────────────────────────────────────────────────
 if __name__ == "__main__":
     app = mcp.streamable_http_app()