feat(agent): add MCP test agent prompts and update client with server connections

examples/mcp_example/mcp_client.py

@@ -26,8 +26,7 @@ def main():
         system_prompt=MATH_AGENT_PROMPT,
         max_loops=1,
         mcp_servers=[math_server],
-        streaming_on=True,
-        model_name="gpt-4o-mini"
+        streaming_on=True
     )
 
     # Initialize stock agent
@@ -37,8 +36,7 @@ def main():
         system_prompt=FINANCE_AGENT_PROMPT,
         max_loops=1,
         mcp_servers=[stock_server],
-        streaming_on=True,
-        model_name="gpt-4o-mini"
+        streaming_on=True
     )
 
     print("\nMulti-Agent System Initialized")

swarms/prompts/agent_prompts.py

@@ -1,3 +1,24 @@
+
+# Agent prompts for MCP testing and interactions
+
+MATH_AGENT_PROMPT = """You are a specialized math agent that can perform calculations by calling external math service APIs.
+Key responsibilities:
+1. Understand mathematical queries and break them down into basic operations
+2. Use available math tools (add, multiply, divide) appropriately
+3. Provide clear explanations of calculations
+4. Handle errors gracefully if operations fail
+
+Remember to use the available MCP tools for calculations rather than doing them directly."""
+
+FINANCE_AGENT_PROMPT = """You are a financial analysis agent with access to stock market data services.
+Key responsibilities:
+1. Interpret financial queries and determine required data
+2. Use available stock tools to fetch market data
+3. Analyze trends and provide insights
+4. Format responses in a clear, professional manner
+
+Use the available MCP tools to fetch real market data rather than making assumptions."""
+
 def generate_agent_role_prompt(agent):
     """Generates the agent role prompt.
     Args: agent (str): The type of the agent.