Stormap

Last 30 days

Uptime

100%

Response time

312 ms typical, 362 ms slowest 5%

Last check

3 h ago

Next check

in 3 h

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "stormap": {
      "type": "http",
      "url": "https://stormap.ai/mcp"
    }
  }
}

13 tools

• vendor_trust_profile

  Vendor security review / third-party risk check: a first-pass security and privacy profile of a software vendor from its own public website, given a domain. Answers "is this vendor SOC 2 certified?" and "do they train AI on our data?": certifications it claims (SOC 2 Type I/II, I

• company_changes

  Did they raise prices or change their terms? What changed on a company's pricing, terms of service, privacy policy and subprocessor pages, and when. Returns the change history (prices added/removed, free plan or trial added/removed, subprocessors added/removed, text added/removed

• agentic_commerce_readiness

  Is this store ready for ChatGPT shopping? Audit whether an online store is ready for AI shopping agents (ChatGPT shopping and Instant Checkout via ACP, Google AI Mode via UCP, Perplexity, Claude): AI bot access to product pages, Product structured data (price, currency, availabil

• company_profile

  Research a company from its domain (lead research, sales call prep, competitor analysis, CRM enrichment). Builds a structured profile from the company's own public website: name, tagline, description, key pages (pricing, docs, contact, careers, blog, status, security, login, sign

• check_before_paying

  Should your agent pay this? Run before paying an x402 / pay-per-call endpoint, an unfamiliar seller or a wallet address. Returns a verdict (ok_to_pay, caution, dont_pay, no_payment_needed) with reasons, from: the endpoint's live payment terms (price, token, payment address), its

• email_domain_check

  Is this email address or domain real and legitimate? For lead research, signup / fraud screening, outreach list cleaning and vendor checks. Returns a verdict (looks_legitimate, risky, invalid) with reasons, plus: email syntax, role address (sales@, info@), free provider or dispos

• read_url

  Read a web page for an AI: fetch a public page and return its main content as clean, LLM-ready Markdown (navigation, footers, scripts and cookie banners removed) plus metadata: title, description, author, published/modified dates, canonical URL, language and word count. Reads ser

• search_guides

  Search Stormap's practical guides on building with AI agents (OpenClaw, Hermes, Claude, coding agents, browser automation, RAG, MCP, AI news). Returns titles, URLs, Markdown URLs and short descriptions. Use get_guide to read one.

• get_guide

  Return one Stormap guide as clean Markdown with front matter (title, URL, dates, tags). Accepts a slug ("how-to-install-hermes-desktop") or a stormap.ai post URL.

• ai_visibility_score

  AI search / GEO / AEO audit: score how well AI assistants (ChatGPT, Claude, Perplexity, Gemini) can find, read and cite a public web page: 0-100 score, letter grade, pass/fail checks (AI answer-bot access in robots.txt, server-rendered content, title/meta, JSON-LD, canonical, llm

• check_ai_crawler_access

  Check whether AI crawlers (GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, Claude-User, PerplexityBot, Google-Extended, CCBot) may access a public URL according to its robots.txt, and score the page's machine readability (status, title, meta description, canonical, JSON-LD, serve

• generate_llms_txt

  Generate an llms.txt file (llmstxt.org format) for a public website. Uses the site name, summary and pages you pass; anything missing is filled from the homepage and sitemap.xml. Returns the file text plus notes on how to improve it.

• generate_ai_robots_txt

  Generate robots.txt rules for AI crawlers from a policy: "open" (allow all), "balanced" (allow search and user-triggered fetchers, block bulk training crawlers) or "block" (block all). Optional per-bot overrides, allowed/blocked paths, sitemap and crawl delay. No network access.

Security scan

• No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

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