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

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    Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.
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    MIT
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    Provides AI agents with professional-grade SEO capabilities including on-page analysis, technical audits, PageSpeed insights, and Ahrefs data integration.
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    MIT
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    Provides a comprehensive suite of SEO and web utility tools for domain analysis, keyword tracking, SERP data, and technical site audits. It enables users to perform various tasks such as checking domain age, WHOIS information, and website technology stacks.
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    MIT
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    Enables AI agents to query and browse Norton Guide database files, providing tools for reading entries, searching, and navigating menus.
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    GPL 3.0
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    Model Context Protocol (MCP) server implementation for DataForSEO, enabling AI assistants to interact with selected DataForSEO APIs and obtain SEO data through a standardized interface.
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    4,913
    Apache 2.0
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    Deploys full-stack projects to EdgeOne Makers and returns publicly accessible URLs, with support for authentication and automatic project naming.
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    MIT
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    A Model Context Protocol server that provides AI assistants with plain-English access to official Dallas-area public data (weather alerts, school ratings, and 311 service requests) without requiring API keys or logins.
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    Apache 2.0
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    MCP server for broken link detection, monitoring, and AI-powered fix suggestions. Scans URLs or sitemaps, estimates SEO and revenue impact, and returns actionable remediation steps. Built with FastMCP 3.x.
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    MIT
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    Connects MCP clients directly to a live Godot editor, enabling AI assistants to build scenes, edit nodes, and control the editor through over 120 operations.
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    MIT
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    Enables AI agents to read and optionally write to PostgreSQL databases through a multi-project setup with schema inspection, query execution, and performance analysis tools.
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