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by garylab

google_search_lens

Search Google for web results using the Serper API to retrieve current information from specified URLs, with options for country and language filtering.

Instructions

Search Google for results

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe url to search
glNoThe country to search in, e.g. us, uk, ca, au, etc.
hlNoThe language to search in, e.g. en, es, fr, de, etc.

Implementation Reference

  • Handler function that implements the core logic for google_search_lens: extracts 'lens' from tool name to call Serper API at https://google.serper.dev/lens with the request payload.
    async def google(tool: SerperTools, request: BaseModel) -> Dict[str, Any]: uri_path = tool.value.split("_")[-1] url = f"https://google.serper.dev/{uri_path}" return await fetch_json(url, request)
  • Pydantic model defining the input schema for the google_search_lens tool.
    class LensRequest(BaseModel): url: str = Field(..., description="The url to search") gl: Optional[str] = Field( None, description="The country to search in, e.g. us, uk, ca, au, etc." ) hl: Optional[str] = Field( None, description="The language to search in, e.g. en, es, fr, de, etc." )
  • Mapping dictionary that registers google_search_lens to its LensRequest schema, used for input validation and tool listing.
    google_request_map = { SerperTools.GOOGLE_SEARCH: SearchRequest, SerperTools.GOOGLE_SEARCH_IMAGES: SearchRequest, SerperTools.GOOGLE_SEARCH_VIDEOS: SearchRequest, SerperTools.GOOGLE_SEARCH_PLACES: AutocorrectRequest, SerperTools.GOOGLE_SEARCH_MAPS: MapsRequest, SerperTools.GOOGLE_SEARCH_REVIEWS: ReviewsRequest, SerperTools.GOOGLE_SEARCH_NEWS: SearchRequest, SerperTools.GOOGLE_SEARCH_SHOPPING: ShoppingRequest, SerperTools.GOOGLE_SEARCH_LENS: LensRequest, SerperTools.GOOGLE_SEARCH_SCHOLAR: AutocorrectRequest, SerperTools.GOOGLE_SEARCH_PATENTS: PatentsRequest, SerperTools.GOOGLE_SEARCH_AUTOCOMPLETE: AutocorrectRequest, }
  • MCP list_tools handler that registers the google_search_lens tool with its name, description, and input schema from the mapping.
    @server.list_tools() async def list_tools() -> List[Tool]: tools = [] for k, v in google_request_map.items(): tools.append( Tool( name=k.value, description="Search Google for results", inputSchema=v.model_json_schema(), ), ) tools.append(Tool( name=SerperTools.WEBPAGE_SCRAPE, description="Scrape webpage by url", inputSchema=WebpageRequest.model_json_schema(), )) return tools
  • Utility function that performs the HTTP POST request to Serper API with API key, handling SSL and timeout for google_search_lens results.
    async def fetch_json(url: str, request: BaseModel) -> Dict[str, Any]: payload = request.model_dump(exclude_none=True) headers = { 'X-API-KEY': SERPER_API_KEY, 'Content-Type': 'application/json' } ssl_context = ssl.create_default_context(cafile=certifi.where()) connector = aiohttp.TCPConnector(ssl=ssl_context) timeout = aiohttp.ClientTimeout(total=AIOHTTP_TIMEOUT) async with aiohttp.ClientSession(connector=connector, timeout=timeout) as session: async with session.post(url, headers=headers, json=payload) as response: response.raise_for_status() return await response.json()

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