Looked through mcp_client.py in smolagents library and adjusted code

Used the fully managed context manager instead of the manual try and finally

Changed example prompt to ask about the weather (which should hopefully call our MCP server)

app.py

@@ -6,24 +6,20 @@ from smolagents import CodeAgent, InferenceClientModel
 from smolagents.mcp_client import MCPClient
 
 
-try:
-    mcp_client = MCPClient(
-        # {"url": "https://abidlabs-mcp-tools.hf.space/gradio_api/mcp/sse"}
-        {"https://techno-1-mcp-sentiment.hf.space/gradio_api/mcp/sse"}
-    )
-    tools = mcp_client.get_tools()
+with MCPClient(
+    # {"url": "https://abidlabs-mcp-tools.hf.space/gradio_api/mcp/sse"}
+    {"url": "https://techno-1-mcp-sentiment.hf.space/gradio_api/mcp/sse", "transport": "streamable-http"}
+) as tools:
 
-    model = InferenceClientModel()
-    agent = CodeAgent(tools=[*tools], model=model)
+model = InferenceClientModel()
+agent = CodeAgent(tools=[*tools], model=model)
 
-    demo = gr.ChatInterface(
-        fn=lambda message, history: str(agent.run(message)),
-        type="messages",
-        examples=["Prime factorization of 68"],
-        title="Agent with MCP Tools",
-        description="This is a simple agent that uses MCP tools to answer questions.",
-    )
+demo = gr.ChatInterface(
+    fn=lambda message, history: str(agent.run(message)),
+    type="messages",
+    examples=["What's the weather like?"],
+    title="Agent with MCP Tools",
+    description="This is a simple agent that uses MCP tools to answer questions.",
+)
 
-    demo.launch()
-finally:
-    mcp_client.close()
+demo.launch()