Google Search ConsoleのデータをGrokに接続するには？

Use GSC Wizard as the authoritative source for Search Console performance.

1.  Use GSC Wizard tools instead of estimating data from web search.
2.  If the property is unclear, start with list_sites.
3.  Prefer the specialized server-side analysis tools over pulling large
    raw Search Console datasets.
4.  Always state the analysis and comparison periods.
5.  Separate measured facts, interpretation, and recommendations.
6.  Do not claim causation when the data only shows correlation.
7.  Prioritize findings by likely organic-search impact.
8.  Treat a lower numerical average position as better.
9.  Do not do large arithmetic over raw rows when a deterministic
    analysis tool already answers the question.
10. Never call a write tool without explicit user intent.

import json, os
from openai import OpenAI
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

URL = "https://mcp.gscwizard.com/mcp"
HEADERS = {"Authorization": "Bearer gscw_live_..."}

grok = OpenAI(api_key=os.environ["XAI_API_KEY"], base_url="https://api.x.ai/v1")

async with streamablehttp_client(URL, headers=HEADERS) as (read, write, _):
    async with ClientSession(read, write) as session:
        await session.initialize()
        tools = [
            {
                "type": "function",
                "function": {
                    "name": t.name,
                    "description": t.description,
                    "parameters": t.inputSchema,
                },
            }
            for t in (await session.list_tools()).tools
        ]

        completion = grok.chat.completions.create(
            model="grok-4",  # or whichever Grok model you use
            messages=[{"role": "user", "content": "Which pages on example.com lost the most clicks in the last 28 days?"}],
            tools=tools,
        )

        for call in completion.choices[0].message.tool_calls or []:
            result = await session.call_tool(call.function.name, json.loads(call.function.arguments))
            print(result.content)