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    Free open-source CLI and read-only MCP tool from Advisors AI (advisorsai.ai): give it one public URL and it lists which machine-readable basics are present or missing (title, meta description, structured data, one h1, canonical, robots policy for AI crawlers, llms.txt, sitemap). No API key, no account, nothing stored.
    1
    MIT
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    Provides agents with tools to score a page's AI readiness, check which AI crawlers robots.txt blocks, and assess passage citability—all performed locally.
    38 npm
    2
    MIT
  • A
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    A Model Context Protocol (MCP) server that provides comprehensive SEO analysis tools with actionable fix instructions for AI assistants like Claude Code and Claude Desktop.
    MIT
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    Provides AI-visibility scoring and site auditing capabilities for websites, enabling agents to check how sites appear in AI engines like ChatGPT and Perplexity, run full SEO/security audits, and monitor changes over time.
    15
    136 npm
    MIT
  • A
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    Giggal.ai is an email verification tool that runs a deep mailbox existence check on every address and verifies catch-all/accept-all and even SEG protected emails. Your bounce rate stays under 5%, and the 30% of every B2B list that other tools flag as "Risky" becomes deliverable again.
    3
    MIT
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    quality
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    Enables MCP hosts to submit URLs to Googlebot, check indexing status, read task results, and launch traffic or CTR campaigns using the Rapid Indexer API.
    12
    MIT
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    An MCP server that gives AI agents tools to inspect a website's visibility to AI answer engines, including crawler permissions, llms.txt, structured data, on-page signals, and a full 29-check AI-readiness audit.
    5
    37 npm
    MIT
  • A
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    A website audit MCP server that provides free tools to check on-page SEO elements like titles, descriptions, and images across up to 20 pages, and also validates robots.txt, sitemap.xml, and llms.txt accessibility.
    2
    MIT
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    MCP server for Postscript SMS marketing platform, enabling AI agents to query subscribers, look up opt-in keyword IDs, add new subscribers with consent, list campaigns, and check audience segment sizes.
    5
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables Claude, Cursor, and other MCP clients to audit public sites across six areas, check and follow llms.txt links, compare rival sites side by side, and run sixteen content gates on local Markdown or MDX using only free public signals.
    4
    239 npm
    MIT
  • A
    license
    A
    quality
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    maintenance
    MCP server for interacting with Yandex.Webmaster API to manage sites, retrieve search queries, and check indexing status. Requires an OAuth token.
    13
    80 npm
    4
    MIT
  • A
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    Programmatic email deliverability testing for AI agents. Create inbox placement tests across Gmail, Outlook, Yahoo, Mail.ru, Yandex — get per-provider placement (Inbox/Spam/Promotions), SPF/DKIM/DMARC auth, Rspamd & SpamAssassin verdicts, DNS health (MX, PTR, DNSBL), and live SSE results.
    5
    34 npm
    2
    MIT
  • F
    license
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    quality
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    maintenance
    Enables users to brief an assignment, record human approval before contact, run a text interview from a fixture, produce a reporter's packet, and check a host-written piece so every quote resolves verbatim to a transcript timestamp before it is published.
    12
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  • A
    license
    A
    quality
    C
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    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.
    6
    MIT
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    AI-powered MCP server for managing LINE Official Accounts. Send broadcasts, push messages, check analytics, manage rich menus — all through natural language via Claude, ChatGPT, or Cursor. 10 tools included: * Account info, friend count, message quota * Broadcast, push message, multicast * Delivery stats, user profiles, follower list * Rich menu management Supports 95M+ LINE users across Jap
    10
    MIT
  • A
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    quality
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    maintenance
    Enables AI assistants to check how discoverable a website is to AI search engines and assistants by inspecting signals like crawler access, llms.txt, structured data, and on-page metadata, and returning a 0-100 visibility score.
    1
    MIT