Deploy server

.continue/mcpServers/playwright-mcp.yaml

@@ -0,0 +1,8 @@
+name: Playwright mcpServer
+version: 0.0.1
+schema: v1
+mcpServers:
+  - name: Browser search
+    command: npx
+    args:
+      - "@playwright/mcp@latest"

.continue/models/llama-max.yaml

@@ -0,0 +1,12 @@
+name: Ollama Llama model
+version: 0.0.1
+schema: v1
+models:
+  - provider: ollama
+    model: llama3.1:8b
+    defaultCompletionOptions:
+      contextLength: 128000
+    name: a llama3.1:8b max
+    roles:
+      - chat
+      - edit

README.md

@@ -12,3 +12,9 @@ short_description: Unit 2 MCP course
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+# Deps
+
+```bash
+pip install "smolagents[mcp]" "gradio[mcp]" mcp fastmcp
+```

gradio-client.py

@@ -0,0 +1,26 @@
+import gradio as gr
+import os
+
+from smolagents import InferenceClientModel, CodeAgent, MCPClient
+
+
+try:
+    mcp_client = MCPClient(
+        {"url": "https://abidlabs-mcp-tool-http.hf.space/gradio_api/mcp/sse"}
+    )
+    tools = mcp_client.get_tools()
+
+    model = InferenceClientModel(token=os.getenv("HF_HUB_TOKEN"))
+    agent = CodeAgent(tools=[*tools], model=model, additional_authorized_imports=["json", "ast", "urllib", "base64"])
+
+    demo = gr.ChatInterface(
+        fn=lambda message, history: str(agent.run(message)),
+        type="messages",
+        examples=["Analyze the sentiment of the following text 'This is awesome'"],
+        title="Agent with MCP Tools",
+        description="This is a simple agent that uses MCP tools to answer questions.",
+    )
+
+    demo.launch()
+finally:
+    mcp_client.disconnect()