MCP Client ready

.gitignore

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+# Python-generated files
+__pycache__/
+*.py[oc]
+build/
+dist/
+wheels/
+*.egg-info
+
+# Virtual environments
+.venv

.python-version

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+3.13

app.py

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+import gradio as gr
+from mcp.client.stdio import StdioServerParameters
+from smolagents import InferenceClientModel, CodeAgent, ToolCollection
+from smolagents.mcp_client import MCPClient
+
+mcp_client = None
+
+try:
+    # Connect to the MCP Sentiment Server
+    mcp_client = MCPClient({"url": "http://127.0.0.1:7860/gradio_api/mcp/sse"})
+
+    # get the tools that we can use to answer questions.
+    tools = mcp_client.get_tools()
+
+    # Now that we have the tools, we can create a simple agent that uses them to answer questions.
+    model = InferenceClientModel()
+    agent = CodeAgent(model=model, tools=[*tools])
+
+    demo = gr.ChatInterface(
+        fn=lambda message, history: str(agent.run(message)),
+        type="messages",
+        examples=["Prime factorization of 68"],
+        title="Agent with MCP Tools",
+        description="This is a simple agent that uses MCP tools to answer questions.",
+        # messages=[],
+    )
+
+    demo.launch()
+    
+finally:
+    if mcp_client is not None:
+        mcp_client.disconnect()

pyproject.toml

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+[project]
+name = "gradio-mcp-client"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.13"
+dependencies = [
+    "gradio[mcp]>=5.32.0",
+    "mcp>=1.9.0",
+    "smolagents[mcp]>=1.17.0",
+]

requirements.txt

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+gradio[mcp]
+smolagents[mcp]