crawl_google_serp
Fetch Google search results for specific keywords and regions using Hubble MCP Server's API integration.
Instructions
구글 SERP API 요청
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| keyword | Yes | ||
| gl | No | kr |
Implementation Reference
- data_api.py:381-401 (handler)The core handler function for the 'crawl_google_serp' MCP tool, registered via the @mcp.tool() decorator. Includes an async retry wrapper. Proxies parameters to an internal Hubble API endpoint '/google_serp' and returns the raw text response typed against SerpResponse schema.
@mcp.tool() @async_retry(exceptions=(Exception), tries=2, delay=0.3) async def crawl_google_serp( keyword: str, gl: Literal['kr', 'us', 'jp'] = "kr") -> dict[SerpResponse, Any] | None: ''' 구글 SERP API 요청 ''' async with httpx.AsyncClient() as client: payload = { "keyword": keyword, "gl": gl } headers = {"X-API-Key": HUBBLE_API_KEY} response = await client.post( f"{HUBBLE_API_URL}/google_serp", headers=headers, json=payload, timeout=30.0) response.raise_for_status() return response.text - data_api.py:272-278 (schema)Pydantic BaseModel defining the structure of the SERP response (output schema for the tool), inheriting from BaseResponse. Includes request details, cost, credits, and data list.
class SerpResponse(BaseResponse): """SERP 응답 형식 """ request_detail: SerpParameters = Field(description="요청 받았던 파라미터") cost: int = Field(default=0, title="", description="") remain_credits: int = Field(default=-1, title="", description="") data: Optional[List[dict]] = Field(default=None, title="", description="") - data_api.py:381-381 (registration)The @mcp.tool() decorator registers the crawl_google_serp function as an MCP tool.
@mcp.tool()