google_search_reviews
Retrieve Google reviews for a business or place using identifiers like FID, CID, or place ID. Filter results by language, country, sort order, and paginate through pages.
Instructions
Search Google for results
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| fid | Yes | The FID | |
| cid | No | The CID to search in | |
| placeId | No | The place ID to search in | |
| sortBy | No | The sort order to use (enum value as string: 'mostRelevant', 'newest', 'highestRating', 'lowestRating') | mostRelevant |
| topicId | No | The topic ID to search in | |
| nextPageToken | No | The next page token to use | |
| gl | No | The country to search in, e.g. us, uk, ca, au, etc. | |
| hl | No | The language to search in, e.g. en, es, fr, de, etc. |
Implementation Reference
- src/serper_mcp_server/server.py:25-32 (registration)Registration mapping: GOOGLE_SEARCH_REVIEWS is mapped to ReviewsRequest in google_request_map, used to register the tool via list_tools()
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, - ReviewsRequest schema: Pydantic model defining input fields (fid required, cid, placeId, sortBy, topicId, nextPageToken, gl, hl optional) for the google_search_reviews tool
class ReviewsRequest(BaseModel): fid: str = Field(..., description="The FID") cid: Optional[str] = Field(None, description="The CID to search in") placeId: Optional[str] = Field(None, description="The place ID to search in") sortBy: Optional[str] = Field( "mostRelevant", pattern=r"^(mostRelevant|newest|highestRating|lowestRating)$", description="The sort order to use (enum value as string: 'mostRelevant', 'newest', 'highestRating', 'lowestRating')", ) topicId: Optional[str] = Field(None, description="The topic ID to search in") nextPageToken: Optional[str] = Field(None, description="The next page token to use") 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." ) - src/serper_mcp_server/server.py:62-82 (handler)Handler call_tool: when name='google_search_reviews', it creates a ReviewsRequest from arguments, then calls google(tool, request) which sends to the Serper API
@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:14-17 (helper)Helper function google(): derives the API endpoint from the tool name suffix (e.g. 'reviews'), builds URL, and calls fetch_json to POST to Serper API
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)