Spaces:
Sleeping
Sleeping
Download server.py from ghosthets/mcp-client: direct link, hf CLI and curl.
- Browser
- Download file 816 Bytes
-
https://huggingface.co/spaces/ghosthets/mcp-client/resolve/main/server.py
- Command line
-
hf download hf://spaces/ghosthets/mcp-client/server.py
-
curl -L -o server.py https://huggingface.co/spaces/ghosthets/mcp-client/resolve/main/server.py
816 Bytes
| import gradio as gr | |
| import os | |
| from mcp import StdioServerParameters | |
| from smolagents import InferenceClientModel, CodeAgent, ToolCollection, MCPClient | |
| try: | |
| mcp_client = MCPClient( | |
| {"url": "http://localhost:7860/gradio_api/mcp/sse"} # This is the MCP Server we created in the previous section | |
| ) | |
| tools = mcp_client.get_tools() | |
| model = InferenceClientModel(token=os.getenv("HUGGINGFACE_API_TOKEN")) | |
| 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() |