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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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    MCP server for the Google Search Console API. Enables search performance analytics, sitemap management, URL index inspection, and property management through natural language.
    12
    71 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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    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.
    5
    MIT
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    Enables MCP clients to perform live Google searches and retrieve structured SERP data including organic results, AI Overviews, People Also Ask, AI Mode answers, news, shopping, and short-video results via eight read-only tools.
    2
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    480 npm
    23
    MIT
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    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.
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    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.
    19
    17 npm
    MIT
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    Wraps the full Google Search Console API v1 so LLMs can query search performance data, inspect URL indexing status, and manage properties and sitemaps. Also adds task-shaped tools for common questions like top queries, top pages, period comparisons, and bulk inspections, with optional read-only mode.
    22
    MIT
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    Enables keyword mining, Search Analytics queries, sitemap management across multiple properties, and URL index inspection through natural language.
    12
    MIT
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    Provides AI agents with read-only access to Google Search Console data, including search analytics, index coverage, and sitemap status. It enables users to query clicks, impressions, and ranking performance or check URL indexing status through natural language.
    42 npm
    7
    MIT
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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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    Enables AI agents to query Google Search Console data including search analytics, URL inspection, sitemap management, and site performance monitoring, with per-user OAuth authentication.
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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
    13 npm
    17
    Apache 2.0
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    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.
    10
    331 PyPI
    38
    MIT
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    Query Google Search Console search analytics, inspect URL indexing status, manage sitemaps, and analyze keyword performance. 13 tools covering search queries, page performance, sitemap management, and index coverage.
    13
    319 npm
    6
    MIT