Create mcp.py (#216)

Author: lindazqli

samples/microsoft/python/getting-started-agents/mcp.py

@@ -0,0 +1,67 @@
+import time
+import json
+
+from azure.ai.agents import AgentsClient
+from azure.ai.agents.models import MessageTextContent, ListSortOrder
+from azure.ai.projects import AIProjectClient
+from azure.identity import DefaultAzureCredential
+
+
+project_client = AIProjectClient(
+    endpoint=PROJECT_ENDPOINT,
+    credential=DefaultAzureCredential()
+)
+
+with project_client:
+    agent = project_client.agents.create_agent(
+        model=MODEL_DEPLOYMENT_NAME, 
+        name="my-mcp-agent", 
+        instructions="You are a helpful assistant. Use the tools provided to answer the user's questions. Be sure to cite your sources.",
+        tools= [
+            {
+                "type": "mcp",
+				        "server_label": "<unique name for your MCP server>",
+                "server_url": "<MCP server endpoint url>",
+                "require_approval": "never"
+            }
+        ],
+        tool_resources=None
+    )
+    print(f"Created agent, agent ID: {agent.id}")
+
+    thread = project_client.agents.threads.create()
+    print(f"Created thread, thread ID: {thread.id}")
+
+    message = project_client.agents.messages.create(
+        thread_id=thread.id, role="user", content="<query related to your MCP server>",
+    )
+    print(f"Created message, message ID: {message.id}")
+
+    run = project_client.agents.runs.create(thread_id=thread.id, agent_id=agent.id)
+
+    # Poll the run as long as run status is queued or in progress
+    while run.status in ["queued", "in_progress", "requires_action"]:
+        # Wait for a second
+        time.sleep(1)
+        run = project_client.agents.runs.get(thread_id=thread.id, run_id=run.id)
+        print(f"Run status: {run.status}")
+
+    if run.status == "failed":
+        print(f"Run error: {run.last_error}")
+
+    run_steps = project_client.agents.run_steps.list(thread_id=thread.id, run_id=run.id)
+    for step in run_steps:
+        print(f"Run step: {step.id}, status: {step.status}, type: {step.type}")
+        if step.type == "tool_calls":
+            print(f"Tool call details:")
+            for tool_call in step.step_details.tool_calls:
+                print(json.dumps(tool_call.as_dict(), indent=2))
+
+    messages = project_client.agents.messages.list(thread_id=thread.id, order=ListSortOrder.ASCENDING)
+    for data_point in messages:
+        last_message_content = data_point.content[-1]
+        if isinstance(last_message_content, MessageTextContent):
+            print(f"{data_point.role}: {last_message_content.text.value}")
+
+    project_client.agents.delete_agent(agent.id)
+    print(f"Deleted agent, agent ID: {agent.id}")