https://multipliers.ai/api/mcp ↗
**AI-readiness audit for any public website** — ecommerce, content, SaaS, docs, marketing sites. Built for the era where AI assistants (ChatGPT, Perplexity, Claude, Google AI Overviews) decide who gets cited. When a shopper asks ChatGPT *"what's the most comfortable lightweight summer shoe?"* — does **Crocs** show up? When someone asks Perplexity *"best running shoes for marathon training"* — is **Academy Sports** in the answer? When a buyer asks Claude *"where should I buy an engagement ring online?"* — does **Signet** appear with a citation? The answer depends on whether your site has the metadata, structured data, and AI-crawler signals that LLM-powered search engines actually parse. Most sites were built for human SEO (Google blue links). They've never been audited for **AI citation readiness**. Multipliers Site Auditor changes that. Point it at any public URL and in ~20 seconds you get a **comprehensive, evidence-backed report**: - A **0–100 AI-readiness score** with a transpa
multipliers.ai Site Auditor is a remote MCP server published at multipliers.ai. It has been probed 26 times since 9/10/2026. It answered in 26 of them (100.0%), a near-uninterrupted record. Median response time is 471 ms, placing it among the faster endpoints. Its tool list could not be read; the server is closed to direct calls. It answers direct calls with an authentication wall.
Can an LLM agent pick the right tool here — names, descriptions and parameter clarity are assessed.
| Run | Era | Modern | ms | Legacy | ms | Versions |
|---|---|---|---|---|---|---|
| 2026-09-13 08:43:04 | Auth-gated | 401 | 305 | 401 | 298 | — |
| 2026-09-13 06:40:42 | Auth-gated | 401 | 615 | 401 | 612 | — |
| 2026-09-13 04:35:29 | Auth-gated | 401 | 774 | 401 | 790 | — |
| 2026-09-13 01:33:33 | Auth-gated | 401 | 328 | 401 | 337 | — |
| 2026-09-12 23:31:36 | Auth-gated | 401 | 699 | 401 | 695 | — |
| 2026-09-12 21:29:15 | Auth-gated | 401 | 502 | 401 | 496 | — |
| 2026-09-12 19:27:29 | Auth-gated | 401 | 642 | 401 | 619 | — |
| 2026-09-12 17:24:09 | Auth-gated | 401 | 600 | 401 | 656 | — |
| 2026-09-12 15:21:42 | Auth-gated | 401 | 485 | 401 | 471 | — |
| 2026-09-12 13:29:16 | Auth-gated | 401 | 350 | 401 | 341 | — |
Each block is one measurement round. Green: working response. Amber: responded but the server was returning errors (5xx). Red: no response at all.
Each cell is one probe run. Faded cells are incomplete probes — one leg did not answer, so the era is inconclusive.
The two probe legs separately: modern server/discover and legacy initialize.
Derived by comparing consecutive probes — changes in era, protocol version, build and reachability.
Add this badge to your README — it updates automatically as measurements change.
[](https://mcpmetrics.io/servers/multipliers-site-auditor)<a href="https://mcpmetrics.io/servers/multipliers-site-auditor"><img src="https://mcpmetrics.io/badge/multipliers/site-auditor/era.svg" alt="mcpmetrics"></a>You are seeing the last 7 days. Sign up for the full history. Which check failed and why is in the dashboard.
Sign up free to seeThe catalog entries whose name and description are closest to this one, found with the same index the search box uses.
Evidence-backed x402 web verification for AI agents, with auditable decisions for every condition.
Generate 18 AI readiness files (llms.txt, ai.txt, RAG indexes, schema) for any website.
Turn PRDs and product ideas into structured specs so coding agents build your intent, not theirs.
Real-time, multi-modal fact-checking for AI systems. Facticity AI verifies claims across text, audio, and video using trusted sources, helping agents and applications reduce hallucinations and improve reliability in production environments. Powered by a combination of large language models and retrieval-augmented generation (RAG), Facticity performs structured claim extraction, evidence retrieval, and source ranking to deliver fast, transparent verification results. Recognized as one of Time’s Best Inventions of 2024, Facticity AI has been used in high-stakes scenarios including near real-time fact-checking of live events. Built for MCP-compatible workflows, it enables seamless integration of truth validation into AI agents, developer tools, and enterprise systems—bringing verifiable intelligence directly into your stack.
EU AI Act compliance for AI agents, grounded in Regulation (EU) 2024/1689 as amended by Regulation (EU) 2026/1744 (Digital Omnibus, in force 27 July 2026). Operative law is the default in every answer; pending changes are opt-in and labelled by source status. Ten deterministic tools, no LLM in the loop, so the same input always returns the same output. euaiact_assess_system takes one normalized system profile and returns separate legal-classification, impact and implementation-readiness blocks with field-level provenance. euaiact_classify_system returns a risk tier (prohibited, high-risk, limited, minimal) from free text or structured signals, naming both the signals it matched and the ones it still needs. The rest cover Annex III and Annex IV, provider and deployer obligations, the Art. 6(3) exception including the profiling carve-out, GPAI systemic risk at the Art. 51 threshold of 10^25 FLOPs, penalties, deadlines, and article lookup with stable EUR-Lex citations. Five resources and
Enable language models to perform advanced AI-powered web scraping with enterprise-grade reliability. Transform webpages into structured markdown, extract data using AI, and execute AI-powered web searches seamlessly. Enhance your applications with powerful web data extraction capabilities through this integration. It could also make web search, browser automation and markdownification
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