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"A guide to understanding and implementing SEO" matching MCP servers:

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    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.
    Last updated
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    MIT
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    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.
    Last updated
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    MIT
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    Enables Claude with 121 tools for website operations, Google Marketing, SEO, performance analysis, security auditing, monitoring, and accessibility testing.
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    MIT
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    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.
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    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.
    Last updated
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    Apache 2.0
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    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.
    Last updated
    MIT
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    A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.
    Last updated
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    Exposes SEO and AI-readability audit tools to AI agents, enabling one-shot anonymous audits or full authenticated audits with PDF reports and organic traffic data.
    Last updated
    121
    MIT
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    Enables AI assistants to perform comprehensive web performance analysis using Google's PageSpeed Insights API, including metrics, best practices, SEO, and accessibility audits.
    Last updated
    89
    MIT
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    Connects LLMs to Google PageSpeed Insights to analyze web performance, accessibility, SEO, and best practices, enabling AI assistants to audit and improve any web page.
    Last updated
    MIT
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    Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.
    Last updated
    MIT