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fairquery-web

fairquery-web

Official

Detect website technology stack (free)

web_tech_stack
Read-onlyIdempotent

Detect a webpage's technology stack from its HTML and HTTP headers—frameworks, CMS, hosting/CDN, analytics—to support lead enrichment and competitor research.

Instructions

Detect technologies used by one page from its HTML and HTTP headers: frameworks (Next.js, Nuxt, React, ...), CMS (WordPress, Shopify, Webflow, ...), hosting/CDN (Vercel, Cloudflare, Netlify, ...), analytics/tag managers, and more, each with category and evidence. WHEN TO USE: lead enrichment ("what stack does this company use?"), competitor research. Signature-based on one response, so client-injected tools may be missed. For many sites use web_batch_audit. Fetching: GETs from this server with User-Agent "FairqueryBot ... Fairquery-MCP", 15 s timeout per request, body capped (1.5 MB HTML), max 5 redirects, no JavaScript rendering; URLs resolving to private/loopback/link-local addresses are refused (SSRF guard). RETURNS: paged "technology" rows, each with the evidence that matched; meta.final_url is the page actually analysed. Errors (isError=true, JSON {error, message, retryable}): INVALID_URL, BLOCKED_PRIVATE_ADDRESS, DNS_FAILED, FETCH_FAILED, TIMEOUT, TOO_MANY_REDIRECTS. WHEN NOT TO USE: for SEO metadata use web_seo_audit; for security headers use web_security_headers. COST: free - runs locally in this MCP server (direct HTTP GETs), no APIFY_TOKEN, no Apify billing. PARAMETERS: url: exactly that page is fetched (one request after redirects), so a marketing homepage and an app/shop subpage can show different stacks; meta.final_url shows what was analysed. category is a case-insensitive substring filter on the category name, applied before paging: existing categories are CMS, Headless CMS, Site builder, E-commerce, Payments, JS framework, JS library, Framework, CSS framework, Static site generator, Hosting, CDN, Web server, Security, Analytics, Tag manager, Advertising, Marketing automation, Consent, Live chat, Support, Docs, Fonts, Language - e.g. "cms" also matches "Headless CMS" and "framework" matches JS/CSS framework. An unmatched category returns an empty page (count 0), not an error. limit/offset page the filtered list; total = number of matching technologies. EXAMPLE: {"url":"vercel.com","category":"hosting"} -> {count:1, items:[{type:"technology", name:"Vercel", category:"hosting", evidence:"..."}], ...}

Input Schema

NameRequiredDescriptionDefault
urlYesRequired. One public domain or http(s) URL (non-empty string), e.g. "vercel.com" or "https://www.python.org/about/". Bare domains are fetched over https; other schemes, credentials in the URL, dot-less hosts and private/loopback addresses are refused.
limitNoOptional page size: number of items to return, integer 1-200 (default 50). Example: 20
offsetNoOptional zero-based offset into the full result list, integer >= 0 (default 0); use nextOffset from the previous page, e.g. 50
categoryNoOptional, default omitted = all categories. Case-insensitive substring of the category name (e.g. "analytics", "cms", "cdn", "hosting", "e-commerce"). Example: "analytics"

Output Schema

NameRequiredDescriptionDefault
metaNoTool-specific context (company, source_url, ...)
countYesNumber of items in this page
itemsYesResult rows for this page
totalYesTotal items matching the filters (before paging)
offsetYesOffset of the first item in this page
hasMoreYesTrue if more items exist after this page
nextOffsetYesOffset to pass for the next page, or null

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changedv1.2.4
    • changedInput schema / properties / category / description
      Previous value: -"Only return technologies whose category contains this text (case-insensitive), e.g. \"analytics\", \"cms\", \"cdn\""New value: +"Optional, default omitted = all categories. Case-insensitive substring of the category name (e.g. \"analytics\", \"cms\", \"cdn\", \"hosting\", \"e-commerce\"). Example: \"analytics\""
    • changedInput schema / properties / limit / description
      Previous value: -"Optional page size: number of items to return, integer 1-200 (default 50)"New value: +"Optional page size: number of items to return, integer 1-200 (default 50). Example: 20"
    • changedInput schema / properties / offset / description
      Previous value: -"Zero-based offset into the full result list (default 0); use nextOffset from the previous page"New value: +"Optional zero-based offset into the full result list, integer >= 0 (default 0); use nextOffset from the previous page, e.g. 50"
    • changedInput schema / properties / url / description
      Previous value: -"Required. One public domain or http(s) URL, e.g. \"vercel.com\" or \"https://www.python.org/about/\". Bare domains are fetched over https; private/loopback hosts are refused."New value: +"Required. One public domain or http(s) URL (non-empty string), e.g. \"vercel.com\" or \"https://www.python.org/about/\". Bare domains are fetched over https; other schemes, credentials in the URL, dot-less hosts and private/loopback addresses are refused."
  2. Addedv1.2.1

TDQS

A4.7/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly/openWorld/idempotent/non-destructive, so the bar is lower, but the description still adds rich behavior: FairqueryBot User-Agent, 15s timeout, 1.5 MB HTML cap, max 5 redirects, no JS rendering, SSRF guard on private/loopback addresses, and a full error taxonomy (INVALID_URL, BLOCKED_PRIVATE_ADDRESS, TIMEOUT, etc.). Only the paging/return contract is left to the output schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with purpose and organized under scannable labels (WHEN TO USE, Fetching, RETURNS, WHEN NOT TO USE, COST, PARAMETERS, EXAMPLE), so nearly every line earns its place. Minor redundancy: 'free' appears in the title, COST section, and section header, and the Fetching block is dense.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, yet the definition still covers return shape (paged technology rows with evidence, meta.final_url) and error semantics, and it discloses a meaningful limitation (client-injected tools may be missed because detection is signature-based on one response). Complete for an agent to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is already 100%, yet the description adds real meaning: url fetches exactly that page after redirects so homepage and subpage may differ, category is a pre-paging case-insensitive substring filter with 'cms' also matching 'Headless CMS', and an unmatched category yields an empty page (count 0) rather than an error. This is substantive semantics beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('detect technologies used by one page from its HTML and HTTP headers') and enumerates concrete output categories (frameworks, CMS, hosting/CDN, analytics) with evidence. It explicitly distinguishes itself from siblings like web_seo_audit and web_security_headers.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit WHEN TO USE (lead enrichment, competitor research) and WHEN NOT TO USE (SEO metadata -> web_seo_audit; security headers -> web_security_headers), plus routes bulk work to web_batch_audit. Alternatives and selecting conditions are fully spelled out.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.