如何构建 Google Analytics MCP 服务器

gcloud auth application-default login \
  --scopes https://www.googleapis.com/auth/analytics.readonly,https://www.googleapis.com/auth/cloud-platform \
  --client-id-file=YOUR_CLIENT_JSON_FILE

pipx run analytics-mcp

mkdir ga4-mcp && cd ga4-mcp
npm init -y && npm pkg set type=module
npm install @modelcontextprotocol/sdk @google-analytics/data zod

gcloud auth application-default login \
  --scopes https://www.googleapis.com/auth/analytics.readonly,https://www.googleapis.com/auth/cloud-platform \
  --client-id-file=YOUR_CLIENT_JSON_FILE
gcloud auth application-default set-quota-project YOUR_PROJECT_ID

import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';
import { BetaAnalyticsDataClient } from '@google-analytics/data';
import { z } from 'zod';

const ga = new BetaAnalyticsDataClient(); // Application Default Credentials
const server = new McpServer({ name: 'ga4', version: '1.0.0' });

server.registerTool(
  'run_report',
  {
    description:
      'Run a GA4 report. Uses GA4 Data API metric and dimension names. ' +
      'Dates accept YYYY-MM-DD, "28daysAgo", "yesterday", "today".',
    inputSchema: {
      propertyId: z.string().describe('Numeric GA4 property ID, e.g. 123456789'),
      metrics: z.array(z.string()).describe('e.g. ["sessions", "engagedSessions"]'),
      dimensions: z.array(z.string()).default([]).describe('e.g. ["sessionDefaultChannelGroup"]'),
      startDate: z.string().default('28daysAgo'),
      endDate: z.string().default('today'),
    },
  },
  async ({ propertyId, metrics, dimensions, startDate, endDate }) => {
    const [res] = await ga.runReport({
      property: `properties/${propertyId}`,
      dateRanges: [{ startDate, endDate }],
      metrics: metrics.map((name) => ({ name })),
      dimensions: dimensions.map((name) => ({ name })),
      limit: 100,
    });
    // Turn GA's nested rows into plain { dimension: value, metric: value } objects.
    const rows = (res.rows ?? []).map((row) => {
      const out: Record<string, string> = {};
      row.dimensionValues?.forEach((v, i) => (out[dimensions[i]] = v.value ?? ''));
      row.metricValues?.forEach((v, i) => (out[metrics[i]] = v.value ?? ''));
      return out;
    });
    return { content: [{ type: 'text', text: JSON.stringify({ rowCount: res.rowCount, rows }) }] };
  },
);

await server.connect(new StdioServerTransport());

claude mcp add --scope user ga4 -- npx -y tsx /full/path/to/ga4-mcp/ga4.ts

Build me a TypeScript MCP server for Google Analytics 4 using @modelcontextprotocol/sdk and @google-analytics/data. Give it one tool, run_report, that takes a property id, metrics, dimensions and a date range. Authenticate with Application Default Credentials. Then give me the exact gcloud command to log in with the analytics.readonly scope, and register the server with `claude mcp add`. Don't invent metric names: link me to Google's API schema page so I can check them.