# /// script # noqa: CPY001 # dependencies = [ # "semantic-kernel[mcp]", # ] # /// # Copyright (c) Microsoft. All rights reserved. import logging from typing import Any import anyio from mcp.server.stdio import stdio_server from semantic_kernel import Kernel from semantic_kernel.prompt_template import InputVariable, KernelPromptTemplate, PromptTemplateConfig logger = logging.getLogger(__name__) """ This sample demonstrates how to expose a Semantic Kernel prompt through a MCP server. To run this sample, set up your MCP host (like Claude Desktop or VSCode Github Copilot Agents) with the following configuration: ```json { "mcpServers": { "sk_release_notes": { "command": "uv", "args": [ "--directory=/semantic-kernel/python/samples/demos/mcp_server", "run", "mcp_server_with_prompts.py" ], } } } ``` Note: You might need to set the uv to it's full path. """ template = """{{$messages}} --- Group the following PRs into one of these buckets for release notes, keeping the same order: -New Features -Enhancements and Improvements -Bug Fixes -Python Package Updates Include the output in raw markdown. """ def run() -> None: """Run the MCP server with the release notes prompt template.""" kernel = Kernel() prompt = KernelPromptTemplate( prompt_template_config=PromptTemplateConfig( name="release_notes_prompt", description="This creates the prompts for a full set of release notes based on the PR messages given.", template=template, input_variables=[ InputVariable( name="messages", description="These are the PR messages, they are a single string with new lines.", is_required=True, json_schema='{"type": "string"}', ) ], ) ) server = kernel.as_mcp_server(server_name="sk_release_notes", prompts=[prompt]) async def handle_stdin(stdin: Any | None = None, stdout: Any | None = None) -> None: async with stdio_server() as (read_stream, write_stream): await server.run(read_stream, write_stream, server.create_initialization_options()) anyio.run(handle_stdin) if __name__ == "__main__": run()