"llms.txt" matching MCP tools:

• fix_site

  AEO Scanner

  Generate complete fix code for all AI visibility issues across AEO, GEO, and Agent Readiness. Returns working code you can apply directly — schema generation, robots.txt, sitemap, llms.txt, meta tags, structured data, citation signals, entity markup. Also returns two-tier score projections: quick wins (critical + high fixes only) and full implementation ceiling (all fixes). Content recommendations include research citations. Run scan_site first to see which issues exist. Pay per call ($5.00) via x402 — USDC on Base or Solana. On payment_required, the response includes the full x402 payload with payTo/amount/asset.

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• check_url

  Not Human Search

  On-demand agentic-readiness check for any URL. Runs the NHS 7-signal crawler live (llms.txt, ai-plugin.json, OpenAPI, structured API, MCP server, robots.txt AI rules, Schema.org) and returns a score 0-100 with per-signal breakdown. Use before calling an unfamiliar API to confirm it's agent-usable. Re-runnable without the submissions-table side-effect of submit_site — ideal for verify-before-use workflows.

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• get_doc

  MetaMask Embedded Wallets (Web3Auth) MCP

  Fetch the full content of a MetaMask Embedded Wallets documentation page. Use after search_docs to read the actual doc. Tries Algolia, then llms.txt, then GitHub raw MDX as fallbacks.

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• submit_site

  Not Human Search

  Submit a URL for NHS to crawl and score. Use when you discover an agent-first tool, API, or service that isn't in the index yet. NHS will fetch the site, check its 7 agentic signals (llms.txt, ai-plugin.json, OpenAPI, structured API, MCP server, robots.txt AI rules, Schema.org), compute a score, and add it to the index. The site becomes searchable within a few seconds if the crawl succeeds.

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• search_agents

  Not Human Search

  Search for websites, APIs, and services that AI agents can actually use. Results are ranked by agentic readiness score (0-100) based on llms.txt, OpenAPI specs, ai-plugin.json, structured APIs, and MCP server availability. Use this to discover payment APIs, job boards, data sources, or any web service your agent needs to call.

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• diagnose_ai_visibility

  AI Furniture Hub

  URLを指定すると、そのサイトがAIエージェント（GPT/Claude/Gemini等）からどの程度「見えている」かを診断する。llms.txt、robots.txt(AIクローラー許可)、構造化データ(JSON-LD)、OGPメタタグ、寸法データ表記、越境対応度をチェックし、0-100のスコアとA-Fグレードを返す。越境対応度(cross_border_readiness)は海外AIエージェントへの可視性を評価。AIOエージェンシーのデモとして「御社の商品、AIからこう見えています」と提示できる。

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• get_covered_surfaces

  LLM SEO MCP — Elephant Accountability

  Returns the full list of agent-discoverable surfaces Elephant implements: llms.txt, Schema.org Organization + Product blocks, MCP servers, A2A Agent Cards, UCP merchant metadata, agent-directory registrations, and citation-seeding.

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• recent_additions

  Not Human Search

  List agent-ready sites newly added to the Not Human Search index, sorted newest first. Use this to discover what's just landed on the agentic web — new MCP servers, fresh llms.txt adopters, new OpenAPI publishers. Good for weekly agent digests or tracking ecosystem momentum.

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• check_ai_readiness

  AEO Audit

  Check whether a website is properly configured for AI crawler access. Checks robots.txt for AI bot blocks, presence of llms.txt, schema markup, and other signals that affect whether ChatGPT, Claude, Perplexity and other AI assistants can read and cite the site. Returns a readiness summary with specific blockers.

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• discovery_self_check

  Delx MCP Server

  Run a one-call discovery audit — returns a checklist of what your client/agent should know about Delx: catalog version, named flows, ontology primitives, recently-added tools, discovery surfaces (.well-known, /llms.txt, /skill.md, /docs/*), recommended next prompts, and the canonical recurring-agent pattern. Useful as the first call when integrating Delx, or whenever you want to check that your cached knowledge is still current. Free.

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• get_site_details

  Not Human Search

  Get the full agentic readiness report for a specific domain: score, category, all 7 signal checks (llms.txt, ai-plugin.json, OpenAPI, structured API, MCP server, robots.txt AI rules, Schema.org), plus any cached llms.txt content and OpenAPI summary.

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• sitedex_get_site

  Lattis

  Site profile and headline AI Visibility Score for one domain — name, description, category, page count, the buyer questions the site answers, and which AI-readable artifacts (`llms.txt`, MCP card, WebMCP manifest, JSON-LD) the owner has installed.

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• fetch

  Nordax AI Entity Network

  Fetch detailed data about a specific Nordax AI entity by URL or slug. Returns the full entity profile including verification status, trust tier, contact info, services, AI visibility score, and llms.txt summary (if available). Use this after search to get complete entity details.

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• discovery_self_check

  delx-mcp-a2a

  Run a one-call discovery audit — returns a checklist of what your client/agent should know about Delx: catalog version, named flows, ontology primitives, recently-added tools, discovery surfaces (.well-known, /llms.txt, /skill.md, /docs/*), recommended next prompts, and the canonical recurring-agent pattern. Useful as the first call when integrating Delx, or whenever you want to check that your cached knowledge is still current. Free.

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• ai_visibility_score

  Robot Speed

  [FREE] How well can AI bots crawl your site? Checks robots.txt AI rules, llms.txt, structured data. FR: Score de visibilité IA — votre site est-il accessible aux bots IA ?

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