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import httpx
from mcp.server.fastmcp import FastMCP
from starlette.requests import Request
from starlette.routing import Mount, Route
from starlette.applications import Starlette
from mcp.server.sse import SseServerTransport
from mcp.pia.linegpt_server.server import Server
from collections import defaultdict, Counter
from datetime import datetime
import uvicorn
# Create an MCP server
mcp = FastMCP("Weather")
import json
@mcp.tool()
async def get_weather(city: str) -> str:
"""Get weather information for a city, return json format for AI
Dependencies:
httpx
"""
async with httpx.AsyncClient() as client:
# Get coordinates using the Geocoding API
geo_response = await client.get(
f"https://geocoding-api.open-meteo.com/v1/search?name={city}"
)
if geo_response.status_code != 200 or "results" not in geo_response.json():
return {"error": f"Could not retrieve coordinates for {city}."}
geo_data = geo_response.json()["results"][0]
latitude = geo_data["latitude"]
longitude = geo_data["longitude"]
# Get weather data using the Forecast API
weather_response = await client.get(
f"https://api.open-meteo.com/v1/forecast?latitude={latitude}&longitude={longitude}&hourly=temperature_2m,weather_code&timezone=auto&past_days=7"
)
if weather_response.status_code != 200:
return {"error": f"Could not retrieve weather information for {city}."}
weather_data = weather_response.json()
weather_descriptions = {
0: "Clear sky", 1: "Mainly clear", 2: "Partly cloudy", 3: "Overcast",
45: "Fog", 48: "Depositing rime fog", 51: "Light drizzle",
53: "Moderate drizzle", 55: "Dense drizzle", 56: "Light freezing drizzle",
57: "Dense freezing drizzle", 61: "Slight rain", 63: "Moderate rain",
65: "Heavy rain", 66: "Light freezing rain", 67: "Heavy freezing rain",
71: "Slight snow fall", 73: "Moderate snow fall", 75: "Heavy snow fall",
77: "Snow grains", 80: "Slight rain showers", 81: "Moderate rain showers",
82: "Violent rain showers", 85: "Slight snow showers", 86: "Heavy snow showers",
95: "Thunderstorm", 96: "Thunderstorm with slight hail", 99: "Thunderstorm with heavy hail"
}
# Group data by date
daily_temps = defaultdict(list)
daily_weather_codes = defaultdict(list)
for time_str, temp, code in zip(
weather_data["hourly"]["time"],
weather_data["hourly"]["temperature_2m"],
weather_data["hourly"]["weather_code"]
):
dt = datetime.fromisoformat(time_str)
date_str = dt.date().isoformat()
daily_temps[date_str].append(temp)
daily_weather_codes[date_str].append(code)
# Create summaries
summaries = []
for date in sorted(daily_temps.keys()):
avg_temp = round(sum(daily_temps[date]) / len(daily_temps[date]))
most_common_code = Counter(daily_weather_codes[date]).most_common(1)[0][0]
description = weather_descriptions.get(most_common_code, "Unknown")
dt = datetime.fromisoformat(date)
day_of_week = dt.strftime("%A")
summaries.append({
"date": date,
"day_of_week": day_of_week,
"city": city,
"weather": description,
"temperature_celsius": avg_temp
})
return json.dumps(summaries, indent=2)
def create_starlette_app(mcp_server: Server, *, debug: bool = False) -> Starlette:
"""Create a Starlette application that can server the provied mcp server with SSE."""
sse = SseServerTransport("/messages/")
async def handle_sse(request: Request) -> None:
async with sse.connect_sse(
request.scope,
request.receive,
request._send,
) as (read_stream, write_stream):
await mcp_server.run(
read_stream,
write_stream,
mcp_server.create_initialization_options(),
)
return Starlette(
debug=debug,
routes=[
Route("/sse", endpoint=handle_sse),
Mount("/messages/", app=sse.handle_post_message),
],
)
def main():
mcp_server = mcp._mcp_server
import argparse
parser = argparse.ArgumentParser(description='Run MCP SSE-based server')
parser.add_argument('--host', default='0.0.0.0', help='Host to bind to')
parser.add_argument('--port', type=int, default=8080, help='Port to listen on')
args = parser.parse_args()
# Bind SSE request handling to MCP server
starlette_app = create_starlette_app(mcp_server, debug=True)
uvicorn.run(starlette_app, host=args.host, port=args.port)
if __name__ == "__main__":
main()