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chore: import upstream snapshot with attribution
2026-07-13 12:10:27 +08:00

39 lines
1.4 KiB
Python

"""The one-liner HTTP deploy (lowlevel API): Server.streamable_http_app(stateless_http=True)."""
from typing import Any
import mcp_types as types
from starlette.applications import Starlette
from mcp.server.context import ServerRequestContext
from mcp.server.lowlevel import Server
from stories._hosting import NO_DNS_REBIND, run_app_from_args
GREET_INPUT_SCHEMA: dict[str, Any] = {
"type": "object",
"properties": {"name": {"type": "string"}},
"required": ["name"],
}
def build_app() -> Starlette:
async def list_tools(
ctx: ServerRequestContext[Any], params: types.PaginatedRequestParams | None
) -> types.ListToolsResult:
return types.ListToolsResult(
tools=[
types.Tool(name="greet", description="A simple greeting tool.", input_schema=GREET_INPUT_SCHEMA),
]
)
async def call_tool(ctx: ServerRequestContext[Any], params: types.CallToolRequestParams) -> types.CallToolResult:
assert params.name == "greet" and params.arguments is not None
return types.CallToolResult(content=[types.TextContent(text=f"Hello, {params.arguments['name']}!")])
server = Server("stateless-legacy-example", on_list_tools=list_tools, on_call_tool=call_tool)
return server.streamable_http_app(stateless_http=True, transport_security=NO_DNS_REBIND)
if __name__ == "__main__":
run_app_from_args(build_app)