app.py

import os
import gradio as gr

from mcp.client.stdio import StdioServerParameters
from smolagents import ToolCollection, CodeAgent
from smolagents import CodeAgent, InferenceClientModel
from smolagents.mcp_client import MCPClient

token = os.environ.get("HF_TOKEN")

try:
    mcp_client = MCPClient(
        # {"url": "https://abidlabs-mcp-tools.hf.space/gradio_api/mcp/sse"}
        {"url": "https://rajeshthangaraj1-mcp-sentiment.hf.space/gradio_api/mcp/sse"}
    )
    tools = mcp_client.get_tools()

    model = InferenceClientModel(model="google/flan-t5-small",token=token)
    agent = CodeAgent(tools=[*tools], model=model)

    def call_agent(message, history):
        return str(agent.run(message))


    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 hasattr(mcp_client, "close"):
        mcp_client.close()