"A guide to creating SEO blogs and articles" matching MCP servers:

MCP server that gives AI assistants live access to Google Search Console and Bing Webmaster Tools for search performance, indexing, keyword research, and crawl health analysis directly in the chat.

Professional Google Search Console MCP server providing 40+ SEO tools for performance analysis, content decay, CTR opportunities, and more, enabling real search data in clients like Cursor and Claude.

Connects Google Search Console and Google Analytics to AI assistants for SEO analysis, though the current public preview only exposes a service_info tool and does not yet enable Google account access.

Connects MCP clients to live SEO data and workflows for keyword research, SERPs, rank tracking, site audits, backlinks, Search Console, GA4, local SEO, and AI visibility, with reporting support.

SEO MCP connects AI assistants to Search Console, technical SEO audits, crawl insights, Core Web Vitals, and uptime data.

Merges your Google Search Console data with a live crawl of your site to run a comprehensive technical SEO audit inside Claude, providing prioritized findings and paste-ready fixes.

Enables Claude to query Google Search Console performance data, inspect URL indexing status, submit URLs via IndexNow, and check title and meta-description lengths against Bing limits directly in chat.

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 AI agents to plan and, only when writes are explicitly enabled, apply a site's Google Analytics 4 and Search Console measurement setup — property and web stream creation, key events, custom dimensions, DNS verification, sitemap submission and a PageSpeed baseline — while remaining read-only by default.

An MCP server that integrates Google Search Console and Google Analytics 4 to provide unified SEO and web traffic analysis. It allows users to fetch search performance data, merge page metrics, and generate automated trend reports or actionable insights through tool calls.

Enables Claude with 121 tools for website operations, Google Marketing, SEO, performance analysis, security auditing, monitoring, and accessibility testing.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Automated SEO, AEO, ADA auditing for your website or project.

Lets AI assistants query stored Search Console performance, crawl diagnostics, content gaps, decay, cannibalization, and internal-link opportunities, and optionally mark existing SEO to-dos done or ignored.

Enables MCP clients to retrieve lab performance scores and field Core Web Vitals data for web pages via Google APIs.

Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

Enables agents to fetch app reviews from Apple's App Store and Google Play per country store, newest first, filtered by date or star rating, with each scheduled run returning only reviews not seen before. It also returns a per-app, per-country rating trend row with the current rating, rating count, change since the last run, and the star split of new reviews.

An MCP server that provides cost and reliability observability for LLM and agent workflows. It records model calls and allows querying and aggregating telemetry data through MCP tools.

Enables AI agents to monitor Docker containers, system resources, ports, and logs in real-time.