| import os | |
| import gradio as gr | |
| from mcp import StdioServerParameters | |
| from smolagents import InferenceClientModel, CodeAgent, ToolCollection, MCPClient | |
| if __name__ == "__main__": | |
| try: | |
| mcp_client = MCPClient( | |
| {"url": "https://agents-mcp-hackathon-f1-mcp-server.hf.space/gradio_api/mcp/sse", "transport": "sse"}) | |
| tools = mcp_client.get_tools() | |
| print("### MCP tools ### ") | |
| print("\n".join(f"{t.name}: {t.description}" for t in tools)) | |
| # Define model | |
| model = InferenceClientModel( | |
| model_id="Qwen/Qwen2.5-32B-Instruct", | |
| token=os.getenv("HF_TOKEN") | |
| ) | |
| agent = CodeAgent(tools=[*tools], model=model) | |
| run_inference = False # TEMP | |
| if run_inference: | |
| chat_interface = 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." | |
| ) | |
| chat_interface.launch() | |
| finally: | |
| mcp_client.close() |