Test MCP ToolCollection

app.py

@@ -1,4 +1,5 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool, ToolCollection
+from mcp import StdioServerParameters
 import datetime
 import requests
 import pytz
@@ -34,6 +35,12 @@ def get_current_time_in_timezone(timezone: str) -> str:
         return f"Error fetching time for timezone '{timezone}': {str(e)}"
 
 
+server_parameters = StdioServerParameters(
+    command="uv",
+    args=["--quiet", "[email protected]"],
+    env={"UV_PYTHON": "3.12", **os.environ},
+)
+
 final_answer = FinalAnswerTool()
 
 # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
@@ -53,17 +60,32 @@ image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_co
 with open("prompts.yaml", 'r') as stream:
     prompt_templates = yaml.safe_load(stream)
     
-agent = CodeAgent(
-    model=model,
-    tools=[final_answer, image_generation_tool], ## add your tools here (don't remove final answer)
-    max_steps=6,
-    verbosity_level=1,
-    grammar=None,
-    planning_interval=None,
-    name=None,
-    description=None,
-    prompt_templates=prompt_templates
-)
+#agent = CodeAgent(
+#    model=model,
+#    tools=[final_answer, image_generation_tool], ## add your tools here (don't remove final answer)
+#    max_steps=6,
+#    verbosity_level=1,
+#    grammar=None,
+#    planning_interval=None,
+#    name=None,
+#    description=None,
+#    prompt_templates=prompt_templates
+#)
+
+with ToolCollection.from_mcp(server_parameters) as tool_collection:
+    agent = CodeAgent(
+        model=model,
+        tools=[final_answer, *tool_collection.tools],
+        add_base_tools=True
+        max_steps=6,
+        verbosity_level=1,
+        grammar=None,
+        planning_interval=None,
+        name=None,
+        description=None,
+        prompt_templates=prompt_templates
+    )
+    #agent.run("Please find a remedy for hangover.")
 
 
 GradioUI(agent).launch()