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Related Servers

Alternatives to storefront-checks

  • A
    license
    B
    quality
    B
    maintenance
    MCP server that enables AI agents to perform comprehensive web audits using Google Lighthouse with 13+ tools for performance, accessibility, SEO, and security analysis.
    11
    2,007 npm
    73
    MIT
  • A
    license
    B
    quality
    C
    maintenance
    MCP server for auditing product pages to determine AI shopping agent readiness, providing a 0–100 score and actionable fixes.
    11
    5
    Apache 2.0
  • A
    license
    A
    quality
    A
    maintenance
    Enables AI assistants to manage Google Merchant Center accounts via the Merchant API, including product feeds, promotions, data sources, and MCQL reports with read and write operations.
    28
    40 npm
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Free SEO + GEO (AI-search-citation) analysis for AI assistants: full SEO audits, AI-crawler-access checks (GPTBot/ClaudeBot/PerplexityBot), Core Web Vitals, structured data, security headers, mobile, and images. No signup, no API key, nothing sent to any server - runs entirely on the user's machine.
    13
    90 npm
    1
    MIT

Related Servers

  • A
    license
    A
    quality
    C
    maintenance
    Provides four free tools to assess AI visibility: crawler access, entity recognition, off-page gaps, and shopping agent compatibility, without requiring an API key.
    4
    18 npm
    1
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Lets an MCP client check whether an ecommerce store can be read by AI assistants, auditing robots.txt to see which AI search versus training crawlers are blocked and sampling product pages to confirm structured data and facts survive in raw HTML without JavaScript. It can also generate a training-only opt-out robots.txt that leaves answer-engine crawlers allowed, all inside the conversation the user is already in.
    2
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables auditing e-commerce product catalogs for Google Shopping and Meta readiness, providing per-rule breakdowns, sample product URLs, and affected catalog value.
    4 npm
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to run a free AI-readiness audit of any URL, checking AI crawler rules, JavaScript-free page text, JSON-LD, llms.txt, sitemap, meta description, FAQ schema, and returning a score with findings and fixes. Also exposes the same capability via an A2A agent endpoint.
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Free open-source CLI and read-only MCP tool from Advisors AI (advisorsai.ai): give it one public URL and it lists which machine-readable basics are present or missing (title, meta description, structured data, one h1, canonical, robots policy for AI crawlers, llms.txt, sitemap). No API key, no account, nothing stored.
    1
    1
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables users to scan any website for AI search visibility, producing AEO, GEO, agent readiness, and mention-readiness scores along with AI identity and business profile insights. Paid tools extend this to competitive comparisons, detailed audits, and generated fixes.
    4
    1
    MIT

TDQS

A3.9/5.0

Scored across 4 tools

Disambiguation4/5

Each tool targets a distinct check area: AI shopping readiness, Merchant Center compliance, Shopify checkout extensibility, and broad storefront auditing. There is some overlap because three tools inspect page markup and structured data, but the descriptions draw clear boundaries between them.

Naming Consistency4/5

Three tools use the check_* prefix in snake_case, while audit_store uses a different verb. The deviation is minor and still readable, with all names following a predictable verb-resource style.

Tool Count5/5

Four tools is a well-scoped set for a focused storefront-checking server. Each tool covers a meaningful, non-trivial audit area without unnecessary bloat.

Completeness4/5

The surface covers key storefront concerns: AI readiness, Merchant Center, Shopify checkout, SEO, structured data, links, trust signals, and speed. Minor gaps remain, such as store-wide crawling, accessibility, or mobile-specific checks, but agents can work around them for the stated purpose.

Maintenance

ActivityMaintained
ResponsivenessNo issues