chore: import upstream snapshot with attribution

contributing/samples/mcp/mcp_server_side_sampling/agent.py

@@ -0,0 +1,56 @@
+# Copyright 2026 Google LLC
+#
+# Licensed 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.
+
+import os
+
+from google.adk.agents import LlmAgent
+from google.adk.models.lite_llm import LiteLlm
+from google.adk.tools.mcp_tool import MCPToolset
+from google.adk.tools.mcp_tool.mcp_session_manager import StdioConnectionParams
+from mcp import StdioServerParameters
+
+# This example uses the OpenAI API for both the agent and the server.
+# Ensure your OPENAI_API_KEY is available as an environment variable.
+api_key = os.getenv('OPENAI_API_KEY')
+if not api_key:
+  raise ValueError('The OPENAI_API_KEY environment variable must be set.')
+
+# Configure the StdioServerParameters to start the mcp_server.py script
+# as a subprocess. The OPENAI_API_KEY is passed to the server's environment.
+server_params = StdioServerParameters(
+    command='python',
+    args=['mcp_server.py'],
+    env={'OPENAI_API_KEY': api_key},
+)
+
+# Create the ADK MCPToolset, which connects to the FastMCP server.
+# The `tool_filter` ensures that only the 'analyze_sentiment' tool is exposed
+# to the agent.
+mcp_toolset = MCPToolset(
+    connection_params=StdioConnectionParams(
+        server_params=server_params,
+    ),
+    tool_filter=['analyze_sentiment'],
+)
+
+# Define the ADK agent that uses the MCP toolset.
+root_agent = LlmAgent(
+    model=LiteLlm(model='openai/gpt-4o'),
+    name='SentimentAgent',
+    instruction=(
+        'You are an expert at analyzing text sentiment. Use the'
+        ' analyze_sentiment tool to classify user input.'
+    ),
+    tools=[mcp_toolset],
+)