google_search_autocomplete
Perform Google searches through the Serper MCP Server to retrieve current web information for queries, with options for location, language, and autocorrection.
Instructions
Search Google for results
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | Yes | The query to search for | |
| gl | No | The country to search in, e.g. us, uk, ca, au, etc. | |
| location | No | The location to search in, e.g. San Francisco, CA, USA | |
| hl | No | The language to search in, e.g. en, es, fr, de, etc. | |
| page | No | The page number to return, first page is 1 (integer value as string) | 1 |
| autocorrect | No | Automatically correct (boolean value as string: 'true' or 'false') | true |
Implementation Reference
- src/serper_mcp_server/core.py:14-17 (handler)Core handler function for the google_search_autocomplete tool. Extracts 'autocomplete' from tool name, builds Serper API URL, and fetches the response using the provided request.
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_autocomplete tool, extending BaseRequest with an autocorrect option.
class AutocorrectRequest(BaseRequest): autocorrect: Optional[str] = Field( "true", pattern=r"^(true|false)$", description="Automatically correct (boolean value as string: 'true' or 'false')", ) - src/serper_mcp_server/server.py:41-60 (registration)Registers the google_search_autocomplete tool (via google_request_map) by creating a Tool object with name, description, and inputSchema from AutocorrectRequest.
@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 - src/serper_mcp_server/server.py:25-38 (registration)Maps the SerperTools.GOOGLE_SEARCH_AUTOCOMPLETE enum to AutocorrectRequest schema, used by list_tools() and call_tool() for this tool.
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, } - src/serper_mcp_server/server.py:73-79 (handler)Dispatch logic in the main MCP call_tool handler that invokes the google handler for google_search_autocomplete using the mapped schema and tool enum.
if not SerperTools.has_value(name): raise ValueError(f"Tool {name} not found") tool = SerperTools(name) request = google_request_map[tool](**arguments) result = await google(tool, request) return [TextContent(text=json.dumps(result, indent=2), type="text")]