docs: Update section numbering in MCP server documentation for consistency

docs/01_mcp_server.md

@@ -120,7 +120,7 @@ Gradio significantly simplifies exposing a Python function as an MCP tool:
 
 3.  **MCP Endpoint**: Gradio hosts the MCP service at a specific path (usually `/gradio_api/mcp/sse` relative to the base URL), handling the JSON-RPC communication required by MCP.
 
-## 7. Troubleshooting Tips
+## 6. Troubleshooting Tips
 
 1. **Type Hints and Docstrings**:  
    * Always provide type hints for your function parameters and return values.  
@@ -152,7 +152,7 @@ Gradio significantly simplifies exposing a Python function as an MCP tool:
    * Check that the server is running and accessible.  
    * Verify that the MCP schema is available at the expected URL (e.g., `http://localhost:7860/gradio_api/mcp/schema`).
 
-## 8. Deploying to Hugging Face Spaces
+## 7. Deploying to Hugging Face Spaces
 
 To make your server available to others, you can deploy it to Hugging Face Spaces:
 
@@ -186,7 +186,7 @@ https://YOUR_USERNAME-mcp-sentiment.hf.space/gradio_api/mcp/sse
 
 For more details, see the [Hugging Face MCP Course documentation](https://huggingface.co/learn/mcp-course/unit2/gradio-server).
 
-## 9. Conclusion for Part 1
+## 8. Conclusion for Part 1
 
 We have successfully built the server-side component of our application. This server uses Gradio to:
 *   Provide a web UI for direct interaction with our `sentiment_analysis` function.