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sharozdawa

robotstxt-ai-mcp

by sharozdawa

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      license
      A
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      Enables AI agents to audit and improve a site's visibility in AI search by checking robots.txt against 17 major AI crawlers, detecting llms.txt, and returning a 0-100 visibility score with per-crawler verdicts; it also lists known AI crawlers and their purposes.
      2
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      Checks a website's robots.txt and Cloudflare settings to identify AI crawler blocking. Also generates llms.txt content to improve visibility to AI answer engines.
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      Lets an AI assistant check any URL to see how much of a page's main content is present in the raw HTML versus only after JavaScript runs, showing which text blocks, meta fields, canonical tags, JSON-LD and links AI crawlers like GPTBot and ClaudeBot cannot read. It also reports what robots.txt allows for 22 AI bot tokens and how the site responds to each bot's user-agent.
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    • A
      license
      A
      quality
      D
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      Audits AI-bot visibility: robots.txt per-bot for 22 AI user-agents (GPTBot/ClaudeBot/PerplexityBot/etc), Cloudflare flags, JSON-LD, sitemap, llms.txt, SPA shell, plus cross-model brand mentions via Perplexity + OpenRouter. 0-100 score. SSRF-guarded, spend-capped.
      4
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    • A
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      quality
      C
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      Enables AI assistants to list known AI crawlers such as GPTBot and ClaudeBot, generate and validate robots.txt rules, and check a live site's existing crawler directives. It runs as a remote Streamable HTTP MCP server exposing tools for crawler listing, rule generation, validation, and site checking.
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    • A
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      A
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      Checks a site for AI crawlers: which of 11 AI crawlers its robots.txt lets in, whether its llms.txt follows llmstxt.org, and what its home page says without scripts. Findings with evidence; no scores, no model calls, no telemetry.
      5
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    TDQS

    A4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a distinct operation: analyzing pasted content, checking a specific bot, fetching from a URL, generating, and listing bots. No overlap in functionality.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case (e.g., analyze_robots, check_bot_status). No mixing of conventions.

    Tool Count5/5

    Five tools is a well-scoped set for this domain, covering the essential tasks without being too few or excessive.

    Completeness5/5

    The tools cover the full lifecycle: fetching, analyzing, checking specific bots, generating, and listing known AI bots. No obvious gaps for the intended purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues