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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
    11
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    Enables AI agents to fetch Google Search Console search analytics reports (clicks, impressions, CTR, position) over MCP, with support for custom date ranges, dimensions, filters, comparisons, and exports.
    MIT
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    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.
    12
    8 npm
    16
    Apache 2.0
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    MCP server for the Google Search Console API. Enables search performance analytics, sitemap management, URL index inspection, and property management through natural language.
    18
    34 npm
    MIT
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    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.
    11
    MIT
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    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.
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    120 npm
    7
    MIT
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    Connects AI assistants to a site owner's search performance data, letting them ask in plain language about clicks, queries, pages, indexing and sitemaps and get back structured results. Runs locally with your own credentials, read-only by default, and validates requests up front so the API's silent empty-result and terse-error quirks are caught before they mislead.
    22
    109 PyPI
    8
    MIT
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    Google Search Console for Claude and other MCP clients. Sign in with Google in one click, then ask about clicks, queries, rankings and indexing, export every GSC report as CSV (beyond the 1,000-row UI limit), inspect URLs, submit sitemaps and verify sites. Includes a local SEO dashboard. Free, open source, runs on your computer.
    18
    MIT
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    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.
    17
    MIT
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    Open-source MCP server for Google Ads (Meta Ads coming soon) that lets AI assistants manage ad campaigns, reporting, keywords, and targeting in plain English from any MCP client, with safety-first creation of paused campaigns.
    54
    64 npm
    3
    MIT
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    An MCP server that provides AI agents with direct access to authoritative Cakemail API specifications, enabling accurate code generation and eliminating hallucination.
    5
    2 npm
    28 PyPI
    MIT
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    Enables read-only collection and comparison of Google Search Console and Bing Webmaster data, conservative URL protection, content auditing, reviewed-build verification, and private report generation through ten typed tools over stdio.
    10
    Apache 2.0
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    An MCP-based service that analyzes user search keywords to determine their intent, providing classifications, reasoning, references, and search suggestions to support SEO analysis.
    1
    4 npm
    2
    ISC
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    Enables unified access to Yandex Webmaster, Direct, Metrika, Wordstat, Audience and Search API through a single MCP endpoint, with a public read-only-by-default mode and an optional pro build for guarded write operations. Supports multi-project discovery and OAuth-based authorization across the services.
    140
    Apache 2.0
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    MCP server for AI search crawler governance, brand safety, and search infrastructure auditing. Provides tools to audit robots.txt, canonical links, sitemaps, redirects, and send IndexNow notifications.
    MIT
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    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.
    MIT
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    Generates a complete suite of AI readiness files (llms.txt, ai.txt, schema, RAG indexes) for any website to optimize representation in ChatGPT, Claude, Gemini, and Perplexity.
    13 npm
    3
    MIT
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    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.
    Apache 2.0
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    MCP server and Claude skills for AI agents to build landing pages, run A/B experiments, and track first-party conversions. Lets agents onboard clients, create and publish pages, manage variants, and pull performance reports via the UXON API.
    13
    MIT