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chore: import upstream snapshot with attribution
2026-07-13 13:27:52 +08:00

33 lines
871 B
Python

from typing import Any
from mcp.server.fastmcp import Context, FastMCP
from mcp.server.session import ServerSessionT
from mcp.shared.context import LifespanContextT, RequestT
mcp = FastMCP('Pydantic AI MCP Server')
@mcp.tool()
async def get_weather_forecast(location: str) -> str:
"""Get the weather forecast for a location."""
return f'The weather in {location} is sunny and 26 degrees Celsius.'
@mcp.tool()
async def echo_deps(ctx: Context[ServerSessionT, LifespanContextT, RequestT]) -> dict[str, Any]:
"""Echo the run context.
Args:
ctx: Context object containing request and session information.
Returns:
Dictionary with an echo message and the deps.
"""
deps: Any = getattr(ctx.request_context.meta, 'deps')
return {'echo': 'This is an echo message', 'deps': deps}
if __name__ == '__main__':
mcp.run()