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MCP Kakao Local

by yunkee-lee

find_coordinates

Convert addresses to geographic coordinates using Kakao Local API for location-based services and mapping in Korea.

Instructions

Find coordinates of a given address

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYesaddress to search for
pageNopage number of result

Implementation Reference

  • MCP tool handler for find_coordinates: validates inputs with Pydantic Fields, calls KakaoLocalClient.find_coordinates, handles empty results and exceptions, returns AddressResponse or error dict.
    @mcp.tool(description="Find coordinates of a given address")
    async def find_coordinates(
      address: str = Field(description="address to search for", min_length=1),
      page: int = Field(1, description="page number of result", ge=1),
    ) -> AddressResponse:
      """
      Returns:
        AddressResponse: An object containing metadata and a list of addresses
      """
      try:
        response = await kakao_local_client.find_coordinates(address, page=page)
        if len(response.documents) == 0:
          return {"success": False, "error": "No coordinates found. Check if the address is correct."}
    
        return response
      except Exception as ex:
        return {"success": False, "error": str(ex)}
  • Core implementation in KakaoLocalClient: constructs API params, makes HTTP GET to Kakao Local API endpoint for address coordinates, parses JSON response into AddressResponse model.
    async def find_coordinates(self, address: str, page: int = 1, size: int = 10) -> AddressResponse:
      """https://developers.kakao.com/docs/latest/ko/local/dev-guide#address-coord"""
      path = f"{self.BASE_URL}/search/address"
      params = {
        "query": address,
        "page": page,
        "size": size,
      }
      response_json = await self._get(path, params)
      return AddressResponse(**response_json)
  • Pydantic BaseModel schema for the tool's output: AddressResponse containing meta (paging info) and list of AddressDocument (each with address_name, type, x/y coordinates, etc.).
    class AddressResponse(BaseModel):
      meta: Meta = Field(description="Response metadata")
      documents: list[AddressDocument] = Field(description="List of addresses")
  • Registration of the 'find_coordinates' tool via FastMCP's @mcp.tool decorator with description.
    @mcp.tool(description="Find coordinates of a given address")
  • Pydantic model for individual address document in response: includes address_name, type, longitude (x), latitude (y), and address details.
    class AddressDocument(BaseModel):
      address_name: str = Field(description="street address or land-lot address (지번 주소)")
      address_type: Literal["REGION", "ROAD", "REGION_ADDR", "ROAD_ADDR"] = Field(
        description="type of address"
      )
      x: str = Field(description="longitude")
      y: str = Field(description="latitude")
      address: dict = Field(description="details of land-lot address (지번 주소)")
      road_address: dict = Field(description="details of street address")

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