# SPDX-FileCopyrightText: 2025-present Luis Saavedra <luis94855510@gmail.com>
#
# SPDX-License-Identifier: MIT
"""MCP duty pharma."""
import logging
from datetime import datetime, timedelta
import httpx
import pytz # type: ignore
from geopy import distance # type: ignore
from geopy.extra.rate_limiter import RateLimiter # type: ignore
from geopy.geocoders import Nominatim # type: ignore
from mcp.server.fastmcp import FastMCP
logging.basicConfig(level=logging.DEBUG)
# Instantiate FastMCP server
mcp = FastMCP("MCP Duty Pharma", dependencies=["geopy", "httpx"])
geo_app = Nominatim(user_agent="mcp-duty-pharma", timeout=30.0)
geocode = RateLimiter(geo_app.geocode, min_delay_seconds=1)
@mcp.tool()
async def get_nearby_duty_pharmacies(address: str) -> list[dict]:
"""Get nearby pharmacies on duty today.
- sorted by distance to the given address.
- only ten closest pharmacies are returned.
- only pharmacies on duty today are returned.
"""
headers = {"User-Agent": "MCP Duty Pharma", "Accept": "application/json"}
async with httpx.AsyncClient() as client:
try:
response = await client.get(
"https://midas.minsal.cl/farmacia_v2/WS/getLocalesTurnos.php",
headers=headers,
timeout=30.0,
follow_redirects=True,
)
response.raise_for_status()
all_pharmacies: list[dict] = response.json()
except httpx.HTTPStatusError:
return []
# Filter pharmacies that are on duty today
now = datetime.now(tz=pytz.timezone("America/Santiago"))
fecha_hoy = now.isoformat()[0:10]
fecha_ayer = (now - timedelta(hours=12)).isoformat()[0:10]
all_pharmacies = list(
filter(
lambda f: f["fecha"] == fecha_hoy or f["fecha"] == fecha_ayer,
all_pharmacies,
),
)
# Sort pharmacies by distance to the given address
location = geocode(address)
valid_pharmacies = []
for pharmacy in all_pharmacies:
try:
lat = float(pharmacy["local_lat"].strip(","))
lng = float(pharmacy["local_lng"].strip(","))
valid_pharmacies.append(pharmacy)
logging.debug(f"Processed lat/lng: {lat}, {lng}")
except ValueError as e:
logging.error(
f"Error processing lat/lng for pharmacy {pharmacy}: {e}"
)
valid_pharmacies.sort(
key=lambda pto: distance.distance(
(
float(pto["local_lat"].strip(",")),
float(pto["local_lng"].strip(",")),
),
(location.latitude, location.longitude),
).km,
)
# Return the ten closest pharmacies
return [
{
"name": pharmacy["local_nombre"],
"address": pharmacy["local_direccion"],
"phone": pharmacy["local_telefono"],
"schedule": pharmacy["funcionamiento_hora_apertura"]
+ " - "
+ pharmacy["funcionamiento_hora_cierre"],
"zone": pharmacy["localidad_nombre"],
}
for pharmacy in valid_pharmacies[:10]
]
if __name__ == "__main__":
mcp.run()
