docs: Add troubleshooting tips and deployment instructions for Hugging Face Spaces to MCP server documentation

docs/01_mcp_server.md

@@ -120,7 +120,73 @@ 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.
 
-## 6. Conclusion for Part 1
+## 7. Troubleshooting Tips
+
+1. **Type Hints and Docstrings**:  
+   * Always provide type hints for your function parameters and return values.  
+   * Include a docstring with an "Args:" block for each parameter.  
+   * This helps Gradio generate accurate MCP tool schemas.
+2. **String Inputs**:  
+   * When in doubt, accept input arguments as `str`.  
+   * Convert them to the desired type inside the function.  
+   * This provides better compatibility with MCP clients.
+3. **SSE Support**:  
+   * Some MCP clients don't support SSE-based MCP Servers.  
+   * In those cases, use `mcp-remote`:
+
+   ```json
+   {
+     "mcpServers": {
+       "gradio": {
+         "command": "npx",
+         "args": [
+           "mcp-remote",
+           "http://localhost:7860/gradio_api/mcp/sse"
+         ]
+       }
+     }
+   }
+   ```
+4. **Connection Issues**:  
+   * If you encounter connection problems, try restarting both the client and server.  
+   * 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
+
+To make your server available to others, you can deploy it to Hugging Face Spaces:
+
+1. **Create a new Space on Hugging Face:**  
+   * Go to [huggingface.co/spaces](https://huggingface.co/spaces)  
+   * Click "Create new Space"  
+   * Choose "Gradio" as the SDK  
+   * Name your space (e.g., "mcp-sentiment")
+2. **Create a `requirements.txt` file:**
+
+   ```
+   gradio[mcp]
+   textblob
+   ```
+
+3. **Push your code to the Space:**
+
+   ```bash
+   git init
+   git add app.py requirements.txt
+   git commit -m "Initial commit"
+   git remote add origin https://huggingface.co/spaces/YOUR_USERNAME/mcp-sentiment
+   git push -u origin main
+   ```
+
+Your MCP server will now be available at:
+
+```
+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
 
 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.