find_nearby_places

Instructions

Implementation Reference

• src/osm_mcp_server/server.py:263-347 (handler)

  The primary handler function for the 'find_nearby_places' tool. It orchestrates the search for nearby points of interest using the OSMClient, groups results by category/subcategory, and formats the response.

  @mcp.tool()
  async def find_nearby_places(
      latitude: float,
      longitude: float,
      ctx: Context,
      radius: float = 1000,  # meters
      categories: List[str] = None,
      limit: int = 20
  ) -> Dict[str, Any]:
      """
      Discover points of interest and amenities near a specific location.
      
      This tool performs a comprehensive search around a geographic point to identify
      nearby establishments, amenities, and points of interest. Results are organized by
      category and subcategory, making it easy to find specific types of places. Essential
      for location-based recommendations, neighborhood analysis, and proximity-based decision making.
      
      Args:
          latitude: Center point latitude (decimal degrees)
          longitude: Center point longitude (decimal degrees)
          radius: Search radius in meters (defaults to 1000m/1km)
          categories: List of OSM categories to search for (e.g., ["amenity", "shop", "tourism"]).
                     If omitted, searches common categories.
          limit: Maximum number of total results to return
          
      Returns:
          Structured dictionary containing:
          - Original query parameters
          - Total count of places found
          - Results grouped by category and subcategory
          - Each place includes name, coordinates, and associated tags
      """
      osm_client = ctx.request_context.lifespan_context.osm_client
      
      # Set default categories if not provided
      if not categories:
          categories = ["amenity", "shop", "tourism", "leisure"]
      
      ctx.info(f"Searching for places within {radius}m of ({latitude}, {longitude})")
      places = await osm_client.get_nearby_pois(latitude, longitude, radius, categories)
      
      # Group results by category
      results_by_category = {}
      
      for place in places[:limit]:
          tags = place.get("tags", {})
          
          # Find the matching category
          for category in categories:
              if category in tags:
                  subcategory = tags[category]
                  if category not in results_by_category:
                      results_by_category[category] = {}
                  
                  if subcategory not in results_by_category[category]:
                      results_by_category[category][subcategory] = []
                  
                  # Add place to appropriate category and subcategory
                  place_info = {
                      "id": place.get("id"),
                      "name": tags.get("name", "Unnamed"),
                      "latitude": place.get("lat"),
                      "longitude": place.get("lon"),
                      "tags": tags
                  }
                  
                  results_by_category[category][subcategory].append(place_info)
      
      # Calculate total count
      total_count = sum(
          len(places)
          for category_data in results_by_category.values()
          for places in category_data.values()
      )
      
      return {
          "query": {
              "latitude": latitude,
              "longitude": longitude,
              "radius": radius
          },
          "categories": results_by_category,
          "total_count": total_count
      }

• src/osm_mcp_server/server.py:93-143 (helper)

  Supporting utility method in the OSMClient class that queries the Overpass API to retrieve raw points of interest data near the given coordinates, used by the find_nearby_places handler.

  async def get_nearby_pois(self, 
                           lat: float, 
                           lon: float, 
                           radius: float = 1000,
                           categories: List[str] = None) -> List[Dict]:
      """Get points of interest near a location"""
      if not self.session:
          raise RuntimeError("OSM client not connected")
      
      # Convert radius to bounding box (approximate)
      # 1 degree latitude ~= 111km
      # 1 degree longitude ~= 111km * cos(latitude)
      lat_delta = radius / 111000
      lon_delta = radius / (111000 * math.cos(math.radians(lat)))
      
      bbox = (
          lon - lon_delta,
          lat - lat_delta,
          lon + lon_delta,
          lat + lat_delta
      )
      
      # Build Overpass query
      overpass_url = "https://overpass-api.de/api/interpreter"
      
      # Default to common POI types if none specified
      if not categories:
          categories = ["amenity", "shop", "tourism", "leisure"]
      
      # Build tag filters
      tag_filters = []
      for category in categories:
          tag_filters.append(f'node["{category}"]({{bbox}});')
      
      query = f"""
      [out:json];
      (
          {" ".join(tag_filters)}
      );
      out body;
      """
      
      query = query.replace("{bbox}", f"{bbox[1]},{bbox[0]},{bbox[3]},{bbox[2]}")
      
      async with self.session.post(overpass_url, data={"data": query}) as response:
          if response.status == 200:
              data = await response.json()
              return data.get("elements", [])
          else:
              raise Exception(f"Failed to get nearby POIs: {response.status}")