app.py

import gradio as gr
import os

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

from dotenv import find_dotenv, load_dotenv
load_dotenv(find_dotenv())
try:
    mcp_client = MCPClient(
        {"url": "https://abidlabs-mcp-tool-http.hf.space/gradio_api/mcp/sse"}
    )
    tools = mcp_client.get_tools()
    model = LiteLLMModel(model_id="gemini/gemini-2.0-flash",
                                    api_key=os.getenv("GEMINI_API_KEY"))
    agent = CodeAgent(tools=[*tools], model=model)

    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()
finally:
    mcp_client.disconnect()