mcp-server/src/legal_mcp/server.py

@@ -922,6 +922,18 @@ async def list_chair_feedback(
     return await workflow.list_chair_feedback(case_number, category, unresolved_only)
 
 
+@mcp.tool()
+async def halacha_corroboration(halacha_id: str) -> dict:
+    """החזר את ה-corroboration של הלכה: הציטוטים שמתקפים אותה, הטיפול, וסיכום (X11, read-only)."""
+    from uuid import UUID
+    from legal_mcp.services import corroboration as cor, db
+    links = await db.list_corroboration_for_halacha(UUID(halacha_id))
+    agg = cor.aggregate(
+        [{"source_id": (l["citing_case_law_id"] or l["citing_decision_id"] or ""), "treatment": l["treatment"]} for l in links]
+    )
+    return {"halacha_id": halacha_id, "summary": agg, "citations": links}
+
+
 def main():
     mcp.run(transport="stdio")
 

mcp-server/src/legal_mcp/services/db.py

@@ -3439,6 +3439,28 @@ async def store_corroboration(
     )
 
 
+async def list_corroboration_for_halacha(halacha_id: UUID) -> list[dict]:
+    """Return all corroboration rows for one halacha, ordered by match_score DESC."""
+    pool = await get_pool()
+    rows = await pool.fetch(
+        "SELECT treatment, match_score, match_context, citing_case_law_id::text, "
+        "       citing_decision_id::text, created_at "
+        "FROM halacha_citation_corroboration WHERE halacha_id = $1 "
+        "ORDER BY match_score DESC", halacha_id,
+    )
+    return [
+        {
+            "treatment": r["treatment"],
+            "match_score": float(r["match_score"]) if r["match_score"] is not None else None,
+            "match_context": r["match_context"],
+            "citing_case_law_id": r["citing_case_law_id"],
+            "citing_decision_id": r["citing_decision_id"],
+            "created_at": r["created_at"].isoformat() if r["created_at"] else None,
+        }
+        for r in rows
+    ]
+
+
 async def search_precedent_library_semantic(
     query_embedding: list[float],
     practice_area: str = "",