adding modules

.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/local-models.yaml

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+name: Ollama codegeex4:latest model
+version: 0.0.1
+schema: v1
+models:
+  - provider: ollama
+    model: codegeex4:latest
+    defaultCompletionOptions:
+      contextLength: 8192
+    name: Ollama Devstral-Small
+    roles:
+      - chat
+      - edit

client/app.py

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+import gradio as gr
+import os
+
+from mcp import StdioServerParameters
+from smolagents import InferenceClientModel, CodeAgent, ToolCollection, MCPClient
+
+mcp_client = MCPClient(
+    {"url": "https://abidlabs-mcp-tool-http.hf.space/gradio_api/mcp/sse", "transport": "sse",})
+tools = mcp_client.get_tools()
+model = InferenceClientModel(token=os.getenv("HF_TOKEN"))
+agent = CodeAgent(tools=[*tools], model=model)
+demo = gr.ChatInterface(
+    fn=lambda message, history: str(agent.run(message)),
+    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()

client/requirements.txt

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+gradio[mcp]
+smolagents[mcp]
+mcp
+fastmcp

my-agent/agent.json

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+{
+    "model": "Qwen/Qwen2.5-72B-Instruct",
+    "provider": "nebius",
+    "servers": [
+        {
+            "type": "stdio",
+            "command": "npx",
+            "args": [
+                "mcp-remote",
+                "http://localhost:7860/gradio_api/mcp/sse"
+            ]
+        }
+    ]
+}

my-agent/agent.py

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+import os
+
+from huggingface_hub import Agent
+
+agent = Agent(
+    model="Qwen/Qwen2.5-72B-Instruct",
+    provider="nebius",
+    servers=[
+        {
+            "command": "npx",
+            "args": [
+                "mcp-remote",
+                "http://localhost:7860/gradio_api/mcp/sse"  # Your Gradio MCP server
+            ]
+        }
+    ],
+)