search-console-mcp

name	search-console-mcp
description	Expert AI agent skill for interacting with, configuring, and troubleshooting the Search Console MCP server (GSC, Bing, GA4, and PageSpeed).

Search Console MCP — Agent Skill Guide

This document is the definitive operational reference for AI agents (LLMs) interacting with the search-console-mcp server v2.0.

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🧠 1. Agent Mental Model & Core Concepts

To prevent failures, data gaps, or validation errors when invoking tools, you must internalize these rules:

A. Fluent Domain Architecture (v2.0)

Search Console MCP v2.0 organizes tools into 7 Fluent Domain Modules:

• sites_list / sites_manage / accounts_manage — Site property & multi-account configuration
• sitemaps_list / sitemaps_submit / sitemaps_delete — Sitemap management across GSC & Bing
• analytics_query / analytics_compare / analytics_anomalies — Search analytics, period comparisons, drop attribution & trends
• inspection_inspect / pagespeed_analyze — URL inspection & PageSpeed Insights audits
• indexing_submit / indexing_status — URL indexing (Standard, IndexNow, Removal)
• seo_audit / seo_keywords_research / schema_validate — SEO opportunities (Quick Wins, Striking Distance, Cannibalization, Low Hanging Fruit, Lost Queries)
• site_health_check / compare_engines — Cross-platform summary, crawl issue audits & engine comparisons

Note on Backward Compatibility: All legacy tool names (bing_sites_list, seo_quick_wins, sitemaps_get, bing_index_now, etc.) continue to work transparently via the internal fallback router. However, agents should prefer Fluent Domain tool calls for cleaner parameterization and lower context overhead.

B. Parallel Fetch (engine: "all")

When invoking multi-engine operations (sites_list, sitemaps_list, analytics_query, site_health_check, seo_audit), specify engine: "all" to fetch data concurrently across Google, Bing, and GA4 with 50%+ lower latency.

C. The 2-3 Day Data Delay (Google Search Console)

Google Search Console data is never real-time; it lags by 2 to 3 days.

• Rule: When querying analytics_query, analytics_compare, or running time-series analysis, never use today's or yesterday's date as the end date.
• Default Range: Always query using a range ending at least 3 days ago (e.g., if today is July 15, set the end date to July 12 or earlier).
• Exception: GA4 tools (analytics_realtime and standard GA4 metrics) support real-time/today query dates.

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🔌 2. Multi-Tool Workflow Recipes

Recipe A: Traffic Drop Attribution & Algorithm Correlation

When a user asks: "Why did my traffic drop recently?"

graph TD
    A[Start: User reports traffic drop] --> B[1. analytics_anomalies]
    B -->|Find exact drop date| C[2. analytics_compare with mode: 'period_over_period']
    C -->|Identify losing pages/queries| D[3. analytics_compare with mode: 'drop_attribution']
    D -->|Check Google Algo Updates & Device Splits| E[End: Summarize Findings & Actions]

1. Find the Anomaly: Call analytics_anomalies({ siteUrl }) to locate the exact date when the statistical drop began.
2. Compare Periods: Call analytics_compare({ siteUrl, mode: "period_over_period" }) comparing post-drop vs. pre-drop to list losing pages and queries.
3. Attribute & Correlate: Call analytics_compare({ siteUrl, mode: "drop_attribution" }) for the drop date. This checks device-type split loss and cross-references known Google Search Algorithm Updates (such as Core or Spam updates) to determine root cause.

Recipe B: Comprehensive SEO Audit

To audit domain SEO performance:

1. Call seo_audit({ siteUrl, type: "quick_wins" }) for position 8–15 high impression queries.
2. Call seo_audit({ siteUrl, type: "cannibalization" }) for competing pages.
3. Call seo_audit({ siteUrl, type: "low_hanging_fruit" }) for low CTR queries.
4. Call site_health_check({ siteUrl, level: "full" }) for technical crawl health and sitemap validation.

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🛠 3. Diagnostic & CLI Reference

Goal	Command
Run setup wizard	npx search-console-mcp setup
List connected credentials	npx search-console-mcp accounts list
Execute tool directly from CLI	npx search-console-mcp run analytics_query --siteUrl=https://example.com --format=table
Run full SEO audit via CLI	npx search-console-mcp run seo_audit --siteUrl=https://example.com --type=quick_wins