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whereamimentioned

by FastDrop

MCP Verified 6 hours ago Registry import free

Measure whether AI assistants mention your brand. Reports, model answers, scans, free site tools.

Measure whether AI assistants mention your brand. Reports, model answers, scans, free site tools. Official MCP Registry: com.whereamimentioned/whereamimentioned@0.1.0-rc.1. Remote endpoint: https://whereamimentioned.com/api/mcp

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Remote MCP endpoint ingested from the official registry and probed by FastDrop.

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as com.whereamimentioned/whereamimentioned and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 7 Nov 2026. Not supplied by the maker.

  • check_ai_crawler_access

    Check whether a site's robots.txt allows or blocks each known AI crawler (GPTBot, ClaudeBot, PerplexityBot, Google-Extended and about thirty others), with the exact rule and line that decided it.

  • validate_llms_txt

    Fetch and validate a site's llms.txt: findings with severity and line numbers, a 0 to 100 score, section and entry counts, whether the linked URLs resolve, and whether a sibling llms-full.txt exists.

  • generate_llms_txt

    Crawl a site and generate an llms.txt. depth "index" produces the link index (up to 30 pages); depth "full" produces llms-full.txt with extracted page content (up to 20 pages).

  • generate_sitemap

    Crawl a site (up to 200 pages, sitemap-first with a link-following fallback) and return a valid sitemap.xml, with lastmod only where it was genuinely observed.

  • analyze_content_chunking

    Analyze how well a page is chunked for retrieval: per-heading sections with word and token counts, findings by severity, strengths, a score and the top fixes.

  • validate_structured_data

    Fetch a page, validate its JSON-LD entities against the schema.org types that matter for AI visibility, and report per-entity findings with severity, entity counts and a score. Also reports how many m

  • check_meta_description

    Analyze a page's title, meta description, og:description and opening paragraph: character and pixel widths, where desktop and mobile truncate, a score and per-check findings.

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Matched on shared tags and the tools their MCP servers actually expose.

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