kubecon-eu-mcp

Instructions

Implementation Reference

• src/kubecon_eu_mcp/server.py:160-195 (handler)

  The plan_party_route tool handler, registered with @mcp.tool(), which calculates an optimized route based on party data.

  @mcp.tool()
  async def plan_party_route(day: str, preferences: str = "") -> str:
      """Plan an optimized party-hopping route for an evening.
  
      Returns parties for the requested day sorted by time, with location details
      to help plan an efficient route through Amsterdam.
  
      Args:
          day: Day name — "monday", "tuesday", "wednesday", or "thursday".
          preferences: Optional preferences like "networking", "food", "near venue", "open bar".
  
      Returns:
          JSON with sorted party timeline and location context for route planning.
      """
      parties = await data_service.get_parties_for_day(day)
      if not parties:
          return json.dumps({"message": f"No parties found for {day}."})
  
      # Sort by time (basic sort — times are like "6-9PM", "7PM-1AM")
      route = {
          "day": day,
          "total_parties": len(parties),
          "tip": (
              "Most parties near RAI Amsterdam are in the Europaplein/Zuidas area "
              "(walking distance). Parties in central Amsterdam (Keizersgracht, Amstel) "
              "are 15-25 min by tram/metro from RAI. The last metro runs around 00:30."
          ),
          "parties": [p.to_dict() for p in parties],
          "key_venues": {
              "near_rai": "Strandzuid, Amstel Boathouse, nhow Hotel, Nela Restaurant — all within 10 min walk of RAI",
              "central": "Heineken Experience, Escape DeLux, Oche — 20-25 min by tram from RAI",
              "canal_area": "Elasticsearch office (Keizersgracht) — 25 min by tram",
          },
      }
  
      return json.dumps(route, indent=2)