initial commit

.gitignore

@@ -0,0 +1 @@
+.venv

README.md

@@ -11,3 +11,7 @@ short_description: 'Prime Factorization '
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+
+
+pip install "smolagents[mcp]" "gradio[mcp]" mcp

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+
+from mcp.client.stdio import StdioServerParameters
+from smolagents import InferenceClientModel, CodeAgent, ToolCollection
+from smolagents.mcp_client import MCPClient
+
+try:
+    mcp_client = MCPClient(
+        # Try this working example on the hub:
+        # {"url": "https://abidlabs-mcp-tools.hf.space/gradio_api/mcp/sse"}
+        {"url": "http://localhost:7860/gradio_api/mcp/sse"}
+    )
+    tools = mcp_client.get_tools()
+
+    model = InferenceClientModel()
+    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()

requirements.txt

@@ -0,0 +1,2 @@
+gradio[mcp]
+smolagents[mcp]