diff --git a/examples/online_serving/openai_responses_client_with_mcp_tools.py b/examples/online_serving/openai_responses_client_with_mcp_tools.py
new file mode 100644
index 0000000000000..cafe19a2d1958
--- /dev/null
+++ b/examples/online_serving/openai_responses_client_with_mcp_tools.py
@@ -0,0 +1,184 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+"""
+Example demonstrating MCP (Model Context Protocol) tools with the Responses API.
+
+This example shows how to use MCP tools with different allowed_tools configurations:
+1. No filter (allows all tools from the MCP server)
+2. Wildcard "*" (explicitly allows all tools)
+3. Specific tool names (filters to only those tools)
+
+Set up this example by starting a vLLM OpenAI-compatible server with MCP tools enabled.
+For example:
+vllm serve openai/gpt-oss-20b --enforce-eager --tool-server demo
+
+Environment variables:
+- VLLM_ENABLE_RESPONSES_API_STORE=1
+- VLLM_GPT_OSS_SYSTEM_TOOL_MCP_LABELS=code_interpreter,container
+- VLLM_GPT_OSS_HARMONY_SYSTEM_INSTRUCTIONS=1
+"""
+
+from openai import OpenAI
+from utils import get_first_model
+
+
+def example_no_filter():
+    """Example with no allowed_tools filter - allows all tools."""
+    print("=" * 60)
+    print("Example 1: No allowed_tools filter (allows all tools)")
+    print("=" * 60)
+
+    base_url = "http://0.0.0.0:8000/v1"
+    client = OpenAI(base_url=base_url, api_key="empty")
+    model = get_first_model(client)
+
+    response = client.responses.create(
+        model=model,
+        input="Execute this code: print('Hello from Python!')",
+        instructions="Use the Python tool to execute code.",
+        tools=[
+            {
+                "type": "mcp",
+                "server_label": "code_interpreter",
+                "server_url": "http://localhost:8888",
+                # No allowed_tools specified - all tools are available
+            }
+        ],
+    )
+
+    print(f"Status: {response.status}")
+    print(f"Output: {response.output_text}")
+    print()
+
+
+def example_wildcard():
+    """Example with allowed_tools=['*'] - explicitly allows all tools."""
+    print("=" * 60)
+    print("Example 2: allowed_tools=['*'] (select all tools)")
+    print("=" * 60)
+
+    base_url = "http://0.0.0.0:8000/v1"
+    client = OpenAI(base_url=base_url, api_key="empty")
+    model = get_first_model(client)
+
+    response = client.responses.create(
+        model=model,
+        input="Execute this code: print('Hello from Python with wildcard!')",
+        instructions="Use the Python tool to execute code.",
+        tools=[
+            {
+                "type": "mcp",
+                "server_label": "code_interpreter",
+                "server_url": "http://localhost:8888",
+                # Using "*" to explicitly allow all tools from this MCP server
+                # This is equivalent to not specifying allowed_tools
+                "allowed_tools": ["*"],
+            }
+        ],
+    )
+
+    print(f"Status: {response.status}")
+    print(f"Output: {response.output_text}")
+    print()
+
+
+def example_specific_tools():
+    """Example with specific allowed_tools list - filters available tools.
+
+    Note: This example uses 'web_search_preview' (browser) which has multiple
+    sub-tools: 'search', 'open', 'find'. The code_interpreter (python) doesn't
+    have sub-tools, so filtering doesn't apply there.
+    """
+    print("=" * 60)
+    print("Example 3: allowed_tools=['search'] (filter browser to specific tools)")
+    print("=" * 60)
+
+    base_url = "http://0.0.0.0:8000/v1"
+    client = OpenAI(base_url=base_url, api_key="empty")
+    model = get_first_model(client)
+
+    response = client.responses.create(
+        model=model,
+        input="Search for 'Python programming tutorials'",
+        instructions="Use the browser tool to search.",
+        tools=[
+            {
+                "type": "mcp",
+                "server_label": "web_search_preview",
+                "server_url": "http://localhost:8888",
+                # Browser has tools: 'search', 'open', 'find'
+                # Only allow 'search' - blocks 'open' and 'find'
+                "allowed_tools": ["search"],
+            }
+        ],
+    )
+
+    print(f"Status: {response.status}")
+    print(f"Output: {response.output_text}")
+    print()
+
+
+def example_object_format():
+    """Example using object format for allowed_tools with browser tools."""
+    print("=" * 60)
+    print("Example 4: allowed_tools with object format")
+    print("=" * 60)
+
+    base_url = "http://0.0.0.0:8000/v1"
+    client = OpenAI(base_url=base_url, api_key="empty")
+    model = get_first_model(client)
+
+    response = client.responses.create(
+        model=model,
+        input="Search for 'machine learning' and open the first result",
+        instructions="Use the browser tool.",
+        tools=[
+            {
+                "type": "mcp",
+                "server_label": "web_search_preview",
+                "server_url": "http://localhost:8888",
+                # Object format with tool_names field
+                # Can also include read_only and other fields
+                # Browser has tools: 'search', 'open', 'find'
+                "allowed_tools": {
+                    "tool_names": [
+                        "search",
+                        "open",
+                    ],  # Allow search and open, block find
+                    "read_only": False,
+                },
+            }
+        ],
+    )
+
+    print(f"Status: {response.status}")
+    print(f"Output: {response.output_text}")
+    print()
+
+
+def main():
+    """Run all examples."""
+    print("\n" + "=" * 60)
+    print("MCP Tools with allowed_tools Examples")
+    print("=" * 60 + "\n")
+
+    # Run all examples
+    example_no_filter()
+    example_wildcard()
+    example_specific_tools()
+    example_object_format()
+
+    print("=" * 60)
+    print("Summary:")
+    print("  - No filter or '*' → All tools available from server")
+    print("  - Specific list → Only those sub-tools available")
+    print("  - Object format → More control with tool_names field")
+    print("")
+    print("Note: allowed_tools filters SUB-TOOLS within an MCP server:")
+    print("  - code_interpreter (python): No sub-tools to filter")
+    print("  - web_search_preview (browser): Has 'search', 'open', 'find'")
+    print("=" * 60)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/tests/entrypoints/openai/test_response_api_mcp_tools.py b/tests/entrypoints/openai/test_response_api_mcp_tools.py
index 0dc2430caef7c..cd338b5555c5c 100644
--- a/tests/entrypoints/openai/test_response_api_mcp_tools.py
+++ b/tests/entrypoints/openai/test_response_api_mcp_tools.py
@@ -4,6 +4,9 @@
 import pytest
 import pytest_asyncio
 from openai import OpenAI
+from openai_harmony import ToolDescription, ToolNamespaceConfig
+
+from vllm.entrypoints.tool_server import MCPToolServer
 
 from ...utils import RemoteOpenAIServer
 
@@ -111,6 +114,48 @@ async def test_mcp_tool_env_flag_enabled(mcp_enabled_client: OpenAI, model_name:
         )
 
 
+@pytest.mark.asyncio
+@pytest.mark.parametrize("model_name", [MODEL_NAME])
+async def test_mcp_tool_with_allowed_tools_star(
+    mcp_enabled_client: OpenAI, model_name: str
+):
+    """Test MCP tool with allowed_tools=['*'] to select all available tools.
+
+    This E2E test verifies that the "*" wildcard works end-to-end.
+    See test_serving_responses.py for detailed unit tests of "*" normalization.
+    """
+    response = await mcp_enabled_client.responses.create(
+        model=model_name,
+        input=(
+            "Execute the following code: "
+            "import random; print(random.randint(1, 1000000))"
+        ),
+        instructions=(
+            "You must use the Python tool to execute code. Never simulate execution."
+        ),
+        tools=[
+            {
+                "type": "mcp",
+                "server_label": "code_interpreter",
+                "server_url": "http://localhost:8888",
+                # Using "*" to allow all tools from this MCP server
+                "allowed_tools": ["*"],
+            }
+        ],
+        extra_body={"enable_response_messages": True},
+    )
+    assert response is not None
+    assert response.status == "completed"
+    # Verify tool calls work with allowed_tools=["*"]
+    tool_call_found = False
+    for message in response.output_messages:
+        recipient = message.get("recipient")
+        if recipient and recipient.startswith("python"):
+            tool_call_found = True
+            break
+    assert tool_call_found, "Should have found at least one Python tool call with '*'"
+
+
 @pytest.mark.asyncio
 @pytest.mark.parametrize("model_name", [MODEL_NAME])
 async def test_mcp_tool_env_flag_disabled(mcp_disabled_client: OpenAI, model_name: str):
@@ -159,3 +204,58 @@ async def test_mcp_tool_env_flag_disabled(mcp_disabled_client: OpenAI, model_nam
         assert message.get("author").get("role") != "developer", (
             "No developer messages should be present without a valid tool"
         )
+
+
+def test_get_tool_description():
+    """Test MCPToolServer.get_tool_description filtering logic.
+
+    Note: The wildcard "*" is normalized to None by
+    _extract_allowed_tools_from_mcp_requests before reaching this layer,
+    so we only test None and specific tool filtering here.
+    See test_serving_responses.py for "*" normalization tests.
+    """
+    pytest.importorskip("mcp")
+
+    server = MCPToolServer()
+    tool1 = ToolDescription.new(
+        name="tool1", description="First", parameters={"type": "object"}
+    )
+    tool2 = ToolDescription.new(
+        name="tool2", description="Second", parameters={"type": "object"}
+    )
+    tool3 = ToolDescription.new(
+        name="tool3", description="Third", parameters={"type": "object"}
+    )
+
+    server.harmony_tool_descriptions = {
+        "test_server": ToolNamespaceConfig(
+            name="test_server", description="test", tools=[tool1, tool2, tool3]
+        )
+    }
+
+    # Nonexistent server
+    assert server.get_tool_description("nonexistent") is None
+
+    # None (no filter) - returns all tools
+    result = server.get_tool_description("test_server", allowed_tools=None)
+    assert len(result.tools) == 3
+
+    # Filter to specific tools
+    result = server.get_tool_description(
+        "test_server", allowed_tools=["tool1", "tool3"]
+    )
+    assert len(result.tools) == 2
+    assert result.tools[0].name == "tool1"
+    assert result.tools[1].name == "tool3"
+
+    # Single tool
+    result = server.get_tool_description("test_server", allowed_tools=["tool2"])
+    assert len(result.tools) == 1
+    assert result.tools[0].name == "tool2"
+
+    # No matching tools - returns None
+    result = server.get_tool_description("test_server", allowed_tools=["nonexistent"])
+    assert result is None
+
+    # Empty list - returns None
+    assert server.get_tool_description("test_server", allowed_tools=[]) is None
diff --git a/tests/entrypoints/openai/test_serving_responses.py b/tests/entrypoints/openai/test_serving_responses.py
index 6af32774cc5c6..cf00f0a042241 100644
--- a/tests/entrypoints/openai/test_serving_responses.py
+++ b/tests/entrypoints/openai/test_serving_responses.py
@@ -17,6 +17,7 @@ from vllm.entrypoints.context import ConversationContext
 from vllm.entrypoints.openai.protocol import ErrorResponse, ResponsesRequest
 from vllm.entrypoints.openai.serving_responses import (
     OpenAIServingResponses,
+    _extract_allowed_tools_from_mcp_requests,
     extract_tool_types,
 )
 from vllm.entrypoints.tool_server import ToolServer
@@ -254,3 +255,98 @@ class TestValidateGeneratorInput:
         # Should return an ErrorResponse
         assert result is not None
         assert isinstance(result, ErrorResponse)
+
+
+class TestExtractAllowedToolsFromMcpRequests:
+    """Test class for _extract_allowed_tools_from_mcp_requests function"""
+
+    def test_extract_allowed_tools_basic_formats(self):
+        """Test extraction with list format, object format, and None."""
+        from openai.types.responses.tool import McpAllowedToolsMcpToolFilter
+
+        tools = [
+            # List format
+            Mcp(
+                type="mcp",
+                server_label="server1",
+                allowed_tools=["tool1", "tool2"],
+            ),
+            # Object format
+            Mcp(
+                type="mcp",
+                server_label="server2",
+                allowed_tools=McpAllowedToolsMcpToolFilter(
+                    tool_names=["tool3", "tool4"]
+                ),
+            ),
+            # None (no filter)
+            Mcp(
+                type="mcp",
+                server_label="server3",
+                allowed_tools=None,
+            ),
+        ]
+        result = _extract_allowed_tools_from_mcp_requests(tools)
+        assert result == {
+            "server1": ["tool1", "tool2"],
+            "server2": ["tool3", "tool4"],
+            "server3": None,
+        }
+
+    def test_extract_allowed_tools_star_normalization(self):
+        """Test that '*' wildcard is normalized to None (select all tools).
+
+        This is the key test requested by reviewers to explicitly demonstrate
+        that the "*" select-all scenario is handled correctly.
+        """
+        from openai.types.responses.tool import McpAllowedToolsMcpToolFilter
+
+        tools = [
+            # Star in list format
+            Mcp(
+                type="mcp",
+                server_label="server1",
+                allowed_tools=["*"],
+            ),
+            # Star mixed with other tools in list
+            Mcp(
+                type="mcp",
+                server_label="server2",
+                allowed_tools=["tool1", "*"],
+            ),
+            # Star in object format
+            Mcp(
+                type="mcp",
+                server_label="server3",
+                allowed_tools=McpAllowedToolsMcpToolFilter(tool_names=["*"]),
+            ),
+        ]
+        result = _extract_allowed_tools_from_mcp_requests(tools)
+        # All should be normalized to None (allows all tools)
+        assert result == {
+            "server1": None,
+            "server2": None,
+            "server3": None,
+        }
+
+    def test_extract_allowed_tools_filters_non_mcp(self):
+        """Test that non-MCP tools are ignored during extraction."""
+        tools = [
+            Mcp(
+                type="mcp",
+                server_label="server1",
+                allowed_tools=["tool1"],
+            ),
+            LocalShell(type="local_shell"),  # Non-MCP tool should be ignored
+            Mcp(
+                type="mcp",
+                server_label="server2",
+                allowed_tools=["tool2"],
+            ),
+        ]
+        result = _extract_allowed_tools_from_mcp_requests(tools)
+        # Non-MCP tools should be ignored
+        assert result == {
+            "server1": ["tool1"],
+            "server2": ["tool2"],
+        }
diff --git a/vllm/entrypoints/openai/serving_responses.py b/vllm/entrypoints/openai/serving_responses.py
index 5144916ba71e9..81495a0777546 100644
--- a/vllm/entrypoints/openai/serving_responses.py
+++ b/vllm/entrypoints/openai/serving_responses.py
@@ -48,6 +48,7 @@ from openai.types.responses.response_output_text import Logprob, LogprobTopLogpr
 from openai.types.responses.response_reasoning_item import (
     Content as ResponseReasoningTextContent,
 )
+from openai.types.responses.tool import Mcp, Tool
 from openai_harmony import Message as OpenAIHarmonyMessage
 
 from vllm import envs
@@ -111,6 +112,45 @@ from vllm.utils import random_uuid
 logger = init_logger(__name__)
 
 
+def _extract_allowed_tools_from_mcp_requests(
+    tools: list[Tool],
+) -> dict[str, list[str] | None]:
+    """
+    Extract allowed_tools mapping from MCP tool requests.
+
+    Returns a dictionary mapping server_label to allowed_tools list.
+    Handles both list format and McpAllowedToolsMcpToolFilter object format.
+
+    Special handling:
+    - If allowed_tools is None, returns None (allows all tools)
+    - If allowed_tools contains "*", returns None (allows all tools)
+    - Otherwise, returns the list of specific tool names
+
+    This function can be reused for both harmony and non-harmony MCP calls.
+    """
+    allowed_tools_map: dict[str, list[str] | None] = {}
+    for tool in tools:
+        if not isinstance(tool, Mcp):
+            continue
+
+        # allowed_tools can be a list or an object with tool_names
+        # Extract the actual list of tool names
+        allowed_tools_val = None
+        if tool.allowed_tools is not None:
+            if isinstance(tool.allowed_tools, list):
+                allowed_tools_val = tool.allowed_tools
+            elif hasattr(tool.allowed_tools, "tool_names"):
+                # It's an McpAllowedToolsMcpToolFilter object
+                allowed_tools_val = tool.allowed_tools.tool_names
+
+        # Normalize "*" to None (both mean "allow all tools")
+        if allowed_tools_val is not None and "*" in allowed_tools_val:
+            allowed_tools_val = None
+
+        allowed_tools_map[tool.server_label] = allowed_tools_val
+    return allowed_tools_map
+
+
 class OpenAIServingResponses(OpenAIServing):
     def __init__(
         self,
@@ -878,38 +918,45 @@ class OpenAIServingResponses(OpenAIServing):
         self, request: ResponsesRequest, with_custom_tools: bool, tool_types: set[str]
     ) -> OpenAIHarmonyMessage:
         reasoning_effort = request.reasoning.effort if request.reasoning else None
-        enable_browser = (
-            "web_search_preview" in tool_types
+
+        # Extract allowed_tools from MCP tool requests
+        allowed_tools_map = _extract_allowed_tools_from_mcp_requests(request.tools)
+
+        # Get filtered tool descriptions first.
+        # If get_tool_description returns None (due to filtering), the tool is disabled.
+        browser_description = (
+            self.tool_server.get_tool_description(
+                "browser", allowed_tools_map.get("web_search_preview")
+            )
+            if "web_search_preview" in tool_types
             and self.tool_server is not None
             and self.tool_server.has_tool("browser")
+            else None
         )
-        enable_code_interpreter = (
-            "code_interpreter" in tool_types
+        python_description = (
+            self.tool_server.get_tool_description(
+                "python", allowed_tools_map.get("code_interpreter")
+            )
+            if "code_interpreter" in tool_types
             and self.tool_server is not None
             and self.tool_server.has_tool("python")
+            else None
         )
-        enable_container = (
-            "container" in tool_types
+        container_description = (
+            self.tool_server.get_tool_description(
+                "container", allowed_tools_map.get("container")
+            )
+            if "container" in tool_types
             and self.tool_server is not None
             and self.tool_server.has_tool("container")
+            else None
         )
+
         sys_msg = get_system_message(
             reasoning_effort=reasoning_effort,
-            browser_description=(
-                self.tool_server.get_tool_description("browser")
-                if enable_browser and self.tool_server is not None
-                else None
-            ),
-            python_description=(
-                self.tool_server.get_tool_description("python")
-                if enable_code_interpreter and self.tool_server is not None
-                else None
-            ),
-            container_description=(
-                self.tool_server.get_tool_description("container")
-                if enable_container and self.tool_server is not None
-                else None
-            ),
+            browser_description=browser_description,
+            python_description=python_description,
+            container_description=container_description,
             instructions=request.instructions,
             with_custom_tools=with_custom_tools,
         )
diff --git a/vllm/entrypoints/tool_server.py b/vllm/entrypoints/tool_server.py
index 0d83031ef69fe..99db867025181 100644
--- a/vllm/entrypoints/tool_server.py
+++ b/vllm/entrypoints/tool_server.py
@@ -80,7 +80,9 @@ class ToolServer(ABC):
         pass
 
     @abstractmethod
-    def get_tool_description(self, tool_name: str) -> ToolNamespaceConfig | None:
+    def get_tool_description(
+        self, tool_name: str, allowed_tools: list[str] | None = None
+    ) -> ToolNamespaceConfig | None:
         """
         Return the tool description for the given tool name.
         If the tool is not supported, return None.
@@ -147,8 +149,29 @@ class MCPToolServer(ToolServer):
     def has_tool(self, tool_name: str):
         return tool_name in self.harmony_tool_descriptions
 
-    def get_tool_description(self, tool_name: str):
-        return self.harmony_tool_descriptions.get(tool_name)
+    def get_tool_description(
+        self,
+        server_label: str,
+        allowed_tools: list[str] | None = None,
+    ) -> ToolNamespaceConfig | None:
+        cfg = self.harmony_tool_descriptions.get(server_label)
+        if cfg is None:
+            return None
+
+        # No restrictions: all tools from this MCP server
+        if allowed_tools is None:
+            return cfg
+
+        filtered = [t for t in cfg.tools if t.name in allowed_tools]
+
+        if not filtered:
+            return None
+
+        return ToolNamespaceConfig(
+            name=cfg.name,
+            description=cfg.description,
+            tools=filtered,
+        )
 
     @asynccontextmanager
     async def new_session(
@@ -190,7 +213,9 @@ class DemoToolServer(ToolServer):
     def has_tool(self, tool_name: str) -> bool:
         return tool_name in self.tools
 
-    def get_tool_description(self, tool_name: str) -> ToolNamespaceConfig | None:
+    def get_tool_description(
+        self, tool_name: str, allowed_tools: list[str] | None = None
+    ) -> ToolNamespaceConfig | None:
         if tool_name not in self.tools:
             return None
         if tool_name == "browser":