fix(mcp): update architecture to initialize agents on the client side, not the server

.replit

@@ -98,4 +98,4 @@ args = "sleep 2"
 
 [[workflows.workflow.tasks]]
 task = "shell.exec"
-args = "python examples/mcp_example/mock_multi_agent.py"
+args = "python examples/mcp_example/mcp_client.py"

examples/mcp_example/mcp_client.py

@@ -1,8 +1,10 @@
+
 from swarms import Agent
 from swarms.tools.mcp_integration import MCPServerSseParams
+from swarms.prompts.agent_prompts import FINANCE_AGENT_PROMPT, MATH_AGENT_PROMPT
 
 def main():
-    # Configure MCP server connection 
+    # Configure MCP server connections
     math_server = MCPServerSseParams(
         url="http://0.0.0.0:8000/mcp",
         headers={"Content-Type": "application/json"},
@@ -10,40 +12,52 @@ def main():
         sse_read_timeout=30.0
     )
     
-    # Initialize agent with MCP server
-    agent = Agent(
+    stock_server = MCPServerSseParams(
+        url="http://0.0.0.0:8001/mcp",
+        headers={"Content-Type": "application/json"},
+        timeout=5.0,
+        sse_read_timeout=30.0
+    )
+
+    # Initialize math agent
+    math_agent = Agent(
         agent_name="Math Agent",
-        agent_description="Agent for performing mathematical operations",
-        system_prompt="""You are a mathematical computation specialist. Use the available MCP server tools to:
-        - Add numbers
-        - Multiply numbers  
-        - Divide numbers
-
-        Always:
-        1. Use only tools available from the MCP server
-        2. Explain your mathematical approach
-        3. Show your work step by step""",
+        agent_description="Specialized agent for mathematical computations",
+        system_prompt=MATH_AGENT_PROMPT,
         max_loops=1,
         mcp_servers=[math_server],
         streaming_on=True,
         model_name="gpt-4o-mini"
     )
 
-    print("\nMath Agent initialized with MCP capabilities")
-    print("Available operations:")
-    print("- Addition")
-    print("- Multiplication") 
-    print("- Division")
+    # Initialize stock agent
+    stock_agent = Agent(
+        agent_name="Stock Agent",
+        agent_description="Specialized agent for stock analysis",
+        system_prompt=FINANCE_AGENT_PROMPT,
+        max_loops=1,
+        mcp_servers=[stock_server],
+        streaming_on=True,
+        model_name="gpt-4o-mini"
+    )
+
+    print("\nMulti-Agent System Initialized")
+    print("\nAvailable operations:")
+    print("Math Agent: add, multiply, divide")
+    print("Stock Agent: get stock price, calculate moving average")
 
     while True:
-        query = input("\nEnter a math problem (or 'exit' to quit): ")
+        query = input("\nEnter your query (or 'exit' to quit): ")
         
         if query.lower() == 'exit':
             break
 
-        # Process query through agent
-        result = agent.run(query)
-        print("\nResult:", result)
+        # Process with both agents
+        math_result = math_agent.run(query)
+        stock_result = stock_agent.run(query)
+
+        print("\nMath Agent Response:", math_result)
+        print("Stock Agent Response:", stock_result)
 
 if __name__ == "__main__":
     main()

examples/mcp_example/mock_math_server.py

@@ -1,44 +1,23 @@
-
 from fastmcp import FastMCP
-from typing import Dict, Any
-import time
 
-# Initialize MCP server
 mcp = FastMCP("Math-Mock-Server")
 
 @mcp.tool()
 def add(a: int, b: int) -> int:
     """Add two numbers together"""
-    try:
-        print(f"MCP Server: Processing addition request for {a} + {b}")
-        time.sleep(0.1)  # Simulate processing time
-        result = a + b
-        print(f"MCP Server: Returning result {result}")
-        return result
-    except Exception as e:
-        error_msg = f"Error adding numbers: {str(e)}"
-        print(f"MCP Server: {error_msg}")
-        return {"error": error_msg}
+    return a + b
 
 @mcp.tool()
 def multiply(a: int, b: int) -> int:
     """Multiply two numbers together"""
-    try:
-        time.sleep(0.1)  # Simulate processing time
-        return a * b
-    except Exception as e:
-        return {"error": f"Error multiplying numbers: {str(e)}"}
+    return a * b
 
 @mcp.tool()
 def divide(a: int, b: int) -> float:
     """Divide two numbers"""
-    try:
-        if b == 0:
-            return {"error": "Cannot divide by zero"}
-        time.sleep(0.1)  # Simulate processing time
-        return a / b
-    except Exception as e:
-        return {"error": f"Error dividing numbers: {str(e)}"}
+    if b == 0:
+        return {"error": "Cannot divide by zero"}
+    return a / b
 
 if __name__ == "__main__":
     print("Starting Mock Math Server on port 8000...")

examples/mcp_example/mock_stock_server.py

@@ -2,7 +2,6 @@
 from fastmcp import FastMCP
 from typing import Dict, Union
 
-# Create FastMCP server
 mcp = FastMCP("Stock-Mock-Server")
 
 @mcp.tool()
@@ -21,13 +20,8 @@ def get_stock_price(symbol: str) -> Dict[str, Union[float, str]]:
 @mcp.tool()
 def calculate_moving_average(prices: list[float], window: int) -> Dict[str, Union[list[float], str]]:
     """Calculate moving average of stock prices"""
-    if not isinstance(prices, list) or not all(isinstance(x, (int, float)) for x in prices):
-        return {"error": "Invalid price data"}
-    if not isinstance(window, int) or window <= 0:
-        return {"error": "Invalid window size"}
     if len(prices) < window:
         return {"error": "Not enough price points"}
-    
     avgs = []
     for i in range(len(prices) - window + 1):
         avg = sum(prices[i:i+window]) / window
@@ -36,4 +30,4 @@ def calculate_moving_average(prices: list[float], window: int) -> Dict[str, Unio
 
 if __name__ == "__main__":
     print("Starting Mock Stock Server on port 8001...")
-    mcp.run(transport="sse", transport_kwargs={"host": "0.0.0.0", "port": 8001})
+    mcp.run(transport="sse", host="0.0.0.0", port=8001)