fix: correct MCP agent response handling and model configuration

- Set `gpt-4o-mini` explicitly as model to ensure consistent responses
- Fixed agent configuration and response parsing in `mock_multi_agent.py`
- Updated `mock_math_server.py` and `.replit` config for accurate debugging and logging

examples/mcp_example/mock_math_server.py

@@ -28,4 +28,4 @@ def divide(a: int, b: int) -> float:
 
 if __name__ == "__main__":
     print("Starting Mock Math Server on port 8000...")
-    mcp.run(transport="sse", port=8000, host="0.0.0.0")
+    mcp.run(transport="sse", host="0.0.0.0", port=8000)

examples/mcp_example/mock_multi_agent.py

@@ -17,7 +17,10 @@ class MathAgent:
             system_prompt=f"You are {name}, a math processing agent. Use the provided tools to solve math problems.",
             max_loops=1,
             mcp_servers=[self.server],
-            streaming_on=True
+            streaming_on=False,
+            model_name="gpt-4o-mini",
+            temperature=0.1,
+            max_tokens=1000
         )
 
     async def process(self, task: str):
@@ -26,7 +29,7 @@ class MathAgent:
             return {
                 "agent": self.agent.agent_name,
                 "task": task,
-                "response": response
+                "response": str(response)
             }
         except Exception as e:
             logging.error(f"Error in {self.agent.agent_name}: {str(e)}")