app.py

import gradio as gr
import os

from mcp import StdioServerParameters
from smolagents import InferenceClientModel, CodeAgent, ToolCollection, MCPClient

# MCP Clinet in Gradio to be deplayed to Hugging Face Spaces

try:
    # connect to the MCP server and get the tools that can be used by the agent
    mcp_client = MCPClient(
        {
            "url": "https://abidlabs-mcp-tool-http.hf.space/gradio_api/mcp/sse"  # the mcp client previously created
        }
    )
    tools = mcp_client.get_tools()

    # create a simple agent that uses the tools to answer questions
    model = InferenceClientModel(token=os.getenv("HF_TOKEN"))
    agent = CodeAgent(tools=[*tools], model=model)

    # gradio interface that uses the MCP client to connect to the MCP server and ansers questions
    # using the agent with the 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.",
    )

    demo.launch()  # for public link launch with share=True

finally:
    mcp_client.dusconnect()