added MCP example

Author: vga91

mcp_neo4j_client.py

@@ -4,26 +4,26 @@
 from strands import Agent
 from strands.tools.mcp.mcp_client import MCPClient
 
-# IMPORT MODELLO MISTRAL
+# IMPORT MISTRAL MODEL
 from strands.models.mistral import MistralModel
 import os
 MISTRAL_API_KEY = os.getenv("MISTRAL_API_KEY")
 
 def create_streamable_http_transport():
-    # L’URL deve essere quello del tuo server FastMCP
+    # The URL must be the one of your FastMCP server
     return streamablehttp_client("http://localhost:8000/mcp/")
 
 
 def main():
-    # 1) Crea client MCP
+    # 1) Create the MCP client
     streamable_http_mcp_client = MCPClient(create_streamable_http_transport)
 
     with streamable_http_mcp_client:
-        # 2) Lista tool MCP
+        # 2) List available MCP tools
         tools = streamable_http_mcp_client.list_tools_sync()
-        print("TOOLS disponibili:", [getattr(t, "name", t.mcp_tool.name) for t in tools])
+        print("Available TOOLS:", [getattr(t, "name", t.mcp_tool.name) for t in tools])
 
-        # 3) Crea l'agente con Mistral
+        # 3) Create the agent using Mistral
         agent = Agent(
             tools=tools,
             model=MistralModel(
@@ -34,17 +34,17 @@ def main():
             ),
         )
 
-        # 4) Esegui domanda tramite agente
+        # 4) Ask a question through the agent
         response = agent("What is 125 plus 375?")
-        print("Risposta agente:", response)
+        print("Agent response:", response)
 
-        # 5) Oppure invoca il tool direttamente
+        # 5) Or directly call a tool
         result = streamable_http_mcp_client.call_tool_sync(
             tool_use_id="tool-1",
             name="neo4j_query",
             arguments={"x": 125, "y": 375},
         )
-        print("Risultato calcolatore:", result["content"][0]["text"])
+        print("Calculator result:", result["content"][0]["text"])
 
 
 if __name__ == "__main__":