Benchline

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as io.github.fabwaseem/benchline 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 18 Oct 2026. Not supplied by the maker.

• generate_llms_txt

  Render llms.txt and llms-full.txt from a site name, a summary, and a list of pages. It does not crawl. Grouping follows the page URLs.

• score_ai_seo

  Fetch a public page plus its robots.txt, sitemap, and llms.txt, then score how ready it is for AI search crawlers. Use this when you have a live URL.

• build_open_graph

  Render one of the Open Graph templates as a PNG and a Next.js opengraph-image.tsx file. Pass a template id from list_og_templates, the fields that template uses, colors, a size, and optional base64 im

• list_og_templates

  List Open Graph card templates with ids, names, categories, defaults, color presets, and field schemas.

• decode_jwt

  Decode a signed JSON Web Token into its header, payload, and registered claims. Dates are absolute ISO timestamps. The signature is not checked.

• check_robots_txt

  Fetch a public robots.txt and report whether the wildcard group blocks the site and whether Sitemap lines are absolute. Use this when you have a URL, not a pasted file.

• inspect_meta_tags

  Fetch one public HTML page and report title, description, canonical, Open Graph, Twitter, and JSON-LD. Use this to see what a live URL advertises.

• build_json_ld

  Build schema.org JSON-LD for one type, plus a script tag and a list of missing fields. Use this when you already know the fields. It does not fetch a page.

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