chore: import upstream snapshot with attribution

examples/servers/simple-prompt/README.md

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+# MCP Simple Prompt
+
+A simple MCP server that exposes a customizable prompt template with optional context and topic parameters.
+
+## Usage
+
+Start the server using either stdio (default) or Streamable HTTP transport:
+
+```bash
+# Using stdio transport (default)
+uv run mcp-simple-prompt
+
+# Using Streamable HTTP transport on custom port
+uv run mcp-simple-prompt --transport streamable-http --port 8000
+```
+
+The server exposes a prompt named "simple" that accepts two optional arguments:
+
+- `context`: Additional context to consider
+- `topic`: Specific topic to focus on
+
+## Example
+
+Using the MCP client, you can retrieve the prompt like this using the STDIO transport:
+
+```python
+import asyncio
+from mcp.client.session import ClientSession
+from mcp.client.stdio import StdioServerParameters, stdio_client
+
+
+async def main():
+    async with stdio_client(
+        StdioServerParameters(command="uv", args=["run", "mcp-simple-prompt"])
+    ) as (read, write):
+        async with ClientSession(read, write) as session:
+            await session.initialize()
+
+            # List available prompts
+            prompts = await session.list_prompts()
+            print(prompts)
+
+            # Get the prompt with arguments
+            prompt = await session.get_prompt(
+                "simple",
+                {
+                    "context": "User is a software developer",
+                    "topic": "Python async programming",
+                },
+            )
+            print(prompt)
+
+
+asyncio.run(main())
+```