diff --git a/tests/mcp_tests/test_semantic_tool_filter_e2e.py b/tests/mcp_tests/test_semantic_tool_filter_e2e.py
new file mode 100644
index 00000000000..930d005ee46
--- /dev/null
+++ b/tests/mcp_tests/test_semantic_tool_filter_e2e.py
@@ -0,0 +1,74 @@
+"""
+End-to-end test for MCP Semantic Tool Filtering
+"""
+import asyncio
+import os
+import sys
+from unittest.mock import Mock
+
+import pytest
+
+sys.path.insert(0, os.path.abspath("../.."))
+import json
+
+from mcp.types import Tool as MCPTool
+
+
+@pytest.mark.asyncio
+async def test_e2e_semantic_filter():
+    """E2E: Load router/filter and verify hook filters tools."""
+    from litellm import Router
+    from litellm.proxy.hooks.semantic_tool_filter_hook import SemanticToolFilterHook
+    from litellm.proxy._experimental.mcp_server.semantic_tool_filter import (
+        SemanticMCPToolFilter,
+    )
+    
+    # Create router and filter
+    router = Router(
+        model_list=[{
+            "model_name": "text-embedding-3-small",
+            "litellm_params": {"model": "openai/text-embedding-3-small"},
+        }]
+    )
+    
+    filter_instance = SemanticMCPToolFilter(
+        embedding_model="text-embedding-3-small",
+        litellm_router_instance=router,
+        top_k=3,
+        enabled=True,
+    )
+    
+    hook = SemanticToolFilterHook(filter_instance)
+    
+    # Create 10 tools
+    tools = [
+        MCPTool(name="gmail_send", description="Send an email via Gmail", inputSchema={"type": "object"}),
+        MCPTool(name="calendar_create", description="Create a calendar event", inputSchema={"type": "object"}),
+        MCPTool(name="file_upload", description="Upload a file", inputSchema={"type": "object"}),
+        MCPTool(name="web_search", description="Search the web", inputSchema={"type": "object"}),
+        MCPTool(name="slack_send", description="Send Slack message", inputSchema={"type": "object"}),
+        MCPTool(name="doc_read", description="Read document", inputSchema={"type": "object"}),
+        MCPTool(name="db_query", description="Query database", inputSchema={"type": "object"}),
+        MCPTool(name="api_call", description="Make API call", inputSchema={"type": "object"}),
+        MCPTool(name="task_create", description="Create task", inputSchema={"type": "object"}),
+        MCPTool(name="note_add", description="Add note", inputSchema={"type": "object"}),
+    ]
+    
+    data = {
+        "model": "gpt-4",
+        "messages": [{"role": "user", "content": "Send an email"}],
+        "tools": tools,
+    }
+    
+    # Call hook
+    result = await hook.async_pre_call_hook(
+        user_api_key_dict=Mock(),
+        cache=Mock(),
+        data=data,
+        call_type="completion",
+    )
+
+    print("final result tools: ", json.dumps(result["tools"], indent=4))
+    
+    # Single assertion: hook filtered tools
+    assert result and len(result["tools"]) < len(tools)