google_search_scholar
Perform Google searches to retrieve current web information using the Serper API, enabling access to up-to-date data for research and queries.
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/server.py:25-38 (registration)Maps the SerperTools.GOOGLE_SEARCH_SCHOLAR enum to its input schema (AutocorrectRequest), used for tool registration and dispatching.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, }
- Pydantic input schema for the google_search_scholar tool, inheriting from BaseRequest (q, gl, etc.).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_scholar tool with the MCP server, using name from enum and schema from the map.@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:62-82 (handler)Main tool handler that validates arguments with the mapped schema, constructs SerperTools enum, and calls the core google handler for google_search_scholar.@server.call_tool() async def call_tool(name: str, arguments: dict[str, Any]) -> Sequence[TextContent | ImageContent | EmbeddedResource]: if not SERPER_API_KEY: return [TextContent(text=f"SERPER_API_KEY is empty!", type="text")] try: if name == SerperTools.WEBPAGE_SCRAPE.value: request = WebpageRequest(**arguments) result = await scape(request) return [TextContent(text=json.dumps(result, indent=2), type="text")] 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")] except Exception as e: return [TextContent(text=f"Error: {str(e)}", type="text")]
- src/serper_mcp_server/core.py:14-40 (handler)Executes the tool logic: for google_search_scholar, POSTs to https://google.serper.dev/scholar with the validated 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) async def scape(request: WebpageRequest) -> Dict[str, Any]: url = "https://scrape.serper.dev" return await fetch_json(url, request) 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()