wenjin272 commented on code in PR #107:
URL: https://github.com/apache/flink-agents/pull/107#discussion_r2275938844


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python/flink_agents/api/tools/mcp.py:
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@@ -0,0 +1,132 @@
+################################################################################
+#  Licensed to the Apache Software Foundation (ASF) under one
+#  or more contributor license agreements.  See the NOTICE file
+#  distributed with this work for additional information
+#  regarding copyright ownership.  The ASF licenses this file
+#  to you under the Apache License, Version 2.0 (the
+#  "License"); you may not use this file except in compliance
+#  with the License.  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+# limitations under the License.
+#################################################################################
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+from typing import Any, Dict, List, Optional, Tuple
+
+from pydantic import BaseModel, Field
+from typing_extensions import override
+
+from flink_agents.api.resource import ResourceType
+from flink_agents.api.chat_models.chat_model import BaseChatModel
+from flink_agents.api.tools.tool import BaseTool, ToolMetadata, ToolType
+
+
+class MCPToolDefinition(BaseModel, ABC):
+    """MCP tool definition returned by list_tools or get_tool_definition."""
+
+    name: str
+    description: str
+    parameters: Dict[str, Any] = Field(default_factory=dict)
+
+    def to_model_tool(self, chat_model: BaseChatModel) -> Dict[str, Any]:
+        """Convert this MCP tool definition to a model-specific tool dict.
+
+        Default implementation is not provided; subclasses must override.
+        """
+        raise NotImplementedError(
+            "to_model_tool must be implemented by MCPToolDefinition subclasses"
+        )
+
+
+class MCPPrompt(BaseModel):
+    """MCP prompt definition returned by list_prompts/get_prompt."""
+
+    name: str
+    description: Optional[str] = None
+    arguments: Dict[str, Any] = Field(default_factory=dict)
+
+
+class MCPServer(BaseTool, ABC):
+    """Resource representing an MCP server and exposing its tools/prompts.
+
+    This is a logical tool container; it is not directly invokable with call().
+    """
+
+    endpoint: str
+    metadata: ToolMetadata = Field(  # default metadata for the server wrapper
+        default_factory=lambda: ToolMetadata(
+            name="mcp_server",
+            description="A container for tools provided by an MCP server.",
+            args_schema=BaseModel,  # not used
+        )
+    )
+
+    @classmethod
+    @override
+    def resource_type(cls) -> ResourceType:  # type: ignore[override]
+        return ResourceType.MCP_SERVER
+
+    @classmethod
+    @override
+    def tool_type(cls) -> ToolType:
+        return ToolType.MCP
+
+    def call_tool(self, name: str,*args: Any, **kwargs: Any) -> Any:  # noqa: 
D401
+        """MCPServer isn't directly invokable; raise to signal misuse."""
+        raise NotImplementedError("MCPServer does not support direct call().")
+
+    # Listing and retrieval APIs
+    def list_tools(self, cursor: Optional[str] = None) -> 
Tuple[List[MCPToolDefinition], Optional[str]]:

Review Comment:
   The methods in MCPServer may generate network IO, should we mark these as 
async function?



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