chore: import upstream snapshot with attribution

examples/snippets/servers/sampling.py

@@ -0,0 +1,26 @@
+from mcp_types import SamplingMessage, TextContent
+
+from mcp.server.mcpserver import Context, MCPServer
+
+mcp = MCPServer(name="Sampling Example")
+
+
+@mcp.tool()
+async def generate_poem(topic: str, ctx: Context) -> str:
+    """Generate a poem using LLM sampling."""
+    prompt = f"Write a short poem about {topic}"
+
+    result = await ctx.session.create_message(  # pyright: ignore[reportDeprecated]
+        messages=[
+            SamplingMessage(
+                role="user",
+                content=TextContent(type="text", text=prompt),
+            )
+        ],
+        max_tokens=100,
+    )
+
+    # Since we're not passing tools param, result.content is single content
+    if result.content.type == "text":
+        return result.content.text
+    return str(result.content)