"How to check console logs and network activity" matching MCP servers:

Enables AI listing assistants to validate marketplace draft listings against seller-provided item specifics, returning PUBLISH or REVIEW with the exact words behind every unbacked claim.

Google Search Console for Claude, Cursor & any MCP client — one sign-in, 30 seconds, no Google Cloud project. Six read-only tools (search analytics incl. Google Discover, period comparison with computed deltas, batch URL inspection, sitemaps) plus five built-in SEO analyses as slash-commands. Tokens stay on your machine. MIT.

Analyzes websites for broken links, missing meta tags, and redirect chains, returning a health score and actionable suggestions.

Multi-account Google Search Console MCP server enabling AI assistants to query multiple GSC accounts by name in a single session, with support for OAuth and service accounts.

An MIT MCP server and CLI with 43 tools for Search Console, the App Store, Google Play and WordPress.org. A missing row is reported as unknown, never as zero.

Enables an agent to list properties, pull clicks, impressions, CTR and position grouped by query, page, country, device or date, review and inspect sitemaps and URLs, and optionally submit or delete sitemaps via the Google Search Console API. It is stateless and credential-free, taking the Google access token from each request's bearer header so a single instance can serve many accounts behind an auth proxy such as Nango.

Enables users to interact with Google Search Console data and settings through authenticated API requests, including reading performance data and managing sitemaps and properties with selectable access levels.

Free open-source CLI and read-only MCP tool from Advisors AI (advisorsai.ai): give it one public URL and it lists which machine-readable basics are present or missing (title, meta description, structured data, one h1, canonical, robots policy for AI crawlers, llms.txt, sitemap). No API key, no account, nothing stored.

MCP server for Google Search Console, enabling querying site performance, URL inspection, sitemaps, and more via typed tools with OAuth authentication.

Provides agents with tools to score a page's AI readiness, check which AI crawlers robots.txt blocks, and assess passage citability—all performed locally.

A Model Context Protocol (MCP) server that provides comprehensive SEO analysis tools with actionable fix instructions for AI assistants like Claude Code and Claude Desktop.

MCP server for the Google Search Console API. Enables search performance analytics, sitemap management, URL index inspection, and property management through natural language.

MCP server for Google Search Console API, enabling search performance analysis, URL inspection, sitemap management, and property listing. Supports local, self-hosted, and Cloudflare Workers deployments.

Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.

This MCP server provides tools to query Google Search Console data, including search analytics, URL inspection, sitemap management, and site listing. It enables AI assistants to retrieve SEO performance metrics and manage sitemaps through natural language.

MCP server for Google Search Console: properties, sitemaps, search analytics and URL inspection

An MCP server that enables AI agents to manage Google Search Console properties, including checking index status, requesting indexing, submitting sitemaps, and pulling search analytics with per-property quota tracking.

Transforms raw Google Search Console signals into actionable marketing insights, such as detecting cannibalization, segmenting search intent, and identifying citation opportunities, for any MCP-compliant AI agent.

Read-only MCP server for Google Search Console: performance queries, URL inspection, indexing checks, sitemaps, and one-call HTML SEO audit reports.

Enables AI agents to query and analyze Google Search Console data, including search analytics, URL inspection, sitemaps, and property verification, and to perform actions like submitting sitemaps and adding properties through natural language.