litellm mcp support

docs/my-website/docs/mcp.md

@@ -29,6 +29,8 @@ When MCP clients connect to LiteLLM they can follow this workflow:
 
 ### 1. Define your tools on mcp_tools
 
+LiteLLM allows you to define your tools on the `mcp_tools` section in your config.yaml file. All tools listed here will be available to MCP clients (when they connect to LiteLLM and call `list_tools`).
+
 ```yaml
 model_list:
   - model_name: gpt-4o
@@ -54,13 +56,38 @@ mcp_tools:
     handler: "mcp_tools.get_current_time"
 ```
 
+### 2. Define a handler for your tool
+
+Create a new file called `mcp_tools.py` and add this code. The key method here is `get_current_time` which gets executed when the `get_current_time` tool is called.
+
+```python
+# mcp_tools.py
+
+from datetime import datetime
+
+def get_current_time(format: str = "short"):
+    """
+    Simple handler for the 'get_current_time' tool.
+    
+    Args:
+        format (str): The format of the time to return ('short').
+    
+    Returns:
+        str: The current time formatted as 'HH:MM'.
+    """
+    # Get the current time
+    current_time = datetime.now()
+    
+    # Format the time as 'HH:MM'
+    return current_time.strftime('%H:%M')
+```
 
 ### 3. Start LiteLLM Gateway
 
 <Tabs>
 <TabItem value="docker" label="Docker Run">
 
-Mount your `custom_logger.py` on the LiteLLM Docker container.
+Mount your `mcp_tools.py` on the LiteLLM Docker container.
 
 ```shell
 docker run -d \
@@ -68,7 +95,7 @@ docker run -d \
   -e OPENAI_API_KEY=$OPENAI_API_KEY \
   --name my-app \
   -v $(pwd)/my_config.yaml:/app/config.yaml \
-  -v $(pwd)/custom_logger.py:/app/custom_logger.py \
+  -v $(pwd)/mcp_tools.py:/app/mcp_tools.py \
   my-app:latest \
   --config /app/config.yaml \
   --port 4000 \