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Python

# /// script # noqa: CPY001
# dependencies = [
# "semantic-kernel[mcp]",
# ]
# ///
# Copyright (c) Microsoft. All rights reserved.
import argparse
import ipaddress
import logging
from typing import Annotated, Any, Literal
import anyio
from azure.identity.aio import AzureCliCredential
from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings
from semantic_kernel.functions import kernel_function
logger = logging.getLogger(__name__)
"""
This sample demonstrates how to expose an Agent as 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": {
"command": "uv",
"args": [
"--directory=<path to sk project>/semantic-kernel/python/samples/demos/mcp_server",
"run",
"agent_mcp_server.py"
],
"env": {
"AZURE_AI_AGENT_PROJECT_CONNECTION_STRING": "<your azure connection string>",
"AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME": "<your azure model deployment name>",
}
}
}
}
```
Alternatively, you can run this as a SSE server, by setting the same environment variables as above,
and running the following command:
```bash
uv --directory=<path to sk project>/semantic-kernel/python/samples/demos/mcp_server \
run agent_mcp_server.py --transport sse --port 8000
```
This will start a server that listens for incoming requests on port 8000.
In both cases, uv will make sure to install semantic-kernel with the mcp extra for you in a temporary venv.
"""
def is_loopback_host(host: str) -> bool:
"""Return True if the host refers to a loopback interface (incl. IPv6 ::1)."""
if host == "localhost":
return True
try:
return ipaddress.ip_address(host).is_loopback
except ValueError:
return False
def parse_arguments():
parser = argparse.ArgumentParser(description="Run the Semantic Kernel MCP server.")
parser.add_argument(
"--transport",
type=str,
choices=["sse", "stdio"],
default="stdio",
help="Transport method to use (default: stdio).",
)
parser.add_argument(
"--port",
type=int,
default=None,
help="Port to use for SSE transport (required if transport is 'sse').",
)
parser.add_argument(
"--host",
type=str,
default="127.0.0.1",
help=(
"Host/interface to bind the SSE server to (default: 127.0.0.1). "
"Binding to anything other than loopback (e.g. 0.0.0.0) exposes the server "
"to the network and should only be done on a trusted network with authentication added."
),
)
args = parser.parse_args()
if args.transport == "sse" and args.port is None:
parser.error("--port is required when --transport is 'sse'.")
return args
# Define a simple plugin for the sample
class MenuPlugin:
"""A sample Menu Plugin used for the sample."""
@kernel_function(description="Provides a list of specials from the menu.")
def get_specials(self) -> Annotated[str, "Returns the specials from the menu."]:
return """
Special Soup: Clam Chowder
Special Salad: Cobb Salad
Special Drink: Chai Tea
"""
@kernel_function(description="Provides the price of the requested menu item.")
def get_item_price(
self, menu_item: Annotated[str, "The name of the menu item."]
) -> Annotated[str, "Returns the price of the menu item."]:
return "$9.99"
async def run(transport: Literal["sse", "stdio"] = "stdio", port: int | None = None, host: str = "127.0.0.1") -> None:
async with (
# 1. Login to Azure and create a Azure AI Project Client
AzureCliCredential() as creds,
AzureAIAgent.create_client(credential=creds) as client,
):
agent = AzureAIAgent(
client=client,
definition=await client.agents.create_agent(
model=AzureAIAgentSettings().model_deployment_name,
name="Host",
instructions="Answer questions about the menu.",
),
plugins=[MenuPlugin()], # add the sample plugin to the agent
)
server = agent.as_mcp_server()
if transport == "sse" and port is not None:
import nest_asyncio
import uvicorn
from mcp.server.sse import SseServerTransport
from starlette.applications import Starlette
from starlette.middleware import Middleware
from starlette.middleware.trustedhost import TrustedHostMiddleware
from starlette.responses import PlainTextResponse
from starlette.routing import Mount, Route
from starlette.types import ASGIApp, Receive, Scope, Send
# A local MCP server is a security boundary, not a generic web server: it exposes
# tools, plugins and model providers backed by the developer's credentials. Without
# Host/Origin validation a malicious web page could use DNS rebinding to reach this
# loopback listener from the victim's browser and invoke the exposed MCP tools.
# The MCP spec therefore requires servers to validate Origin and bind to loopback.
allowed_hosts = [
"localhost",
"127.0.0.1",
"[::1]",
f"localhost:{port}",
f"127.0.0.1:{port}",
f"[::1]:{port}",
]
allowed_origins = {
"http://localhost",
"http://127.0.0.1",
"http://[::1]",
f"http://localhost:{port}",
f"http://127.0.0.1:{port}",
f"http://[::1]:{port}",
}
class OriginValidationMiddleware:
"""Reject requests with an untrusted Origin header (DNS-rebinding defense)."""
def __init__(self, app: ASGIApp) -> None:
self.app = app
async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None:
if scope["type"] == "http":
origin = dict(scope["headers"]).get(b"origin")
if origin is not None:
try:
origin_value = origin.decode("ascii")
except UnicodeDecodeError:
origin_value = None
if origin_value not in allowed_origins:
response = PlainTextResponse("Forbidden: invalid Origin header", status_code=403)
await response(scope, receive, send)
return
await self.app(scope, receive, send)
sse = SseServerTransport("/messages/")
async def handle_sse(request):
async with sse.connect_sse(request.scope, request.receive, request._send) as (
read_stream,
write_stream,
):
await server.run(read_stream, write_stream, server.create_initialization_options())
starlette_app = Starlette(
debug=False,
routes=[
Route("/sse", endpoint=handle_sse),
Mount("/messages/", app=sse.handle_post_message),
],
middleware=[
Middleware(TrustedHostMiddleware, allowed_hosts=allowed_hosts),
Middleware(OriginValidationMiddleware),
],
)
if not is_loopback_host(host):
logger.warning(
"Binding the MCP SSE server to %s exposes it beyond loopback. The bundled Host/Origin "
"checks only allow loopback callers; for a network-reachable or credentialed deployment "
"add proper authentication (see the mcp_with_oauth sample) before doing this.",
host,
)
nest_asyncio.apply()
uvicorn.run(starlette_app, host=host, port=port) # nosec
elif transport == "stdio":
from mcp.server.stdio import stdio_server
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())
await handle_stdin()
if __name__ == "__main__":
args = parse_arguments()
anyio.run(run, args.transport, args.port, args.host)