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Mcpverify alternatives & similar sites

MCPVerify — Trust Infrastructure for AI Tools — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
agentcert.dev ↗	80 match 2 shared topics	AgentCert — Trust Infrastructure for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptonqr.com ↗	78 match 2 shared topics	CryptonQR — Trust Infrastructure for the AI Era	en	information-and-network-security Paddle	robotsllmsaihumans	emailphone	none
agentidapp.com ↗	78 match 2 shared topics	Countersig — Trust Infrastructure for the Agent Era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentrapay.ai ↗	76 match 2 shared topics	Agentra™ — Trust Infrastructure for the Agent Economy	en	artificial-intelligence	robots llmsaihumans	emailphone	full · 14
csspki.com ↗	75 match 2 shared topics	Trust Infrastructure for AI & Machines - Keyfactor	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
agent-trust.org ↗	73 match 2 shared topics	Agent Trust — Trust Resolution and Verification Infrastructure for Autonomous Agents	en	artificial-intelligence	robots llmsaihumans	emailphone	none
agentdomain.app ↗	72 match 2 shared topics	AgentDomain - Identity Infrastructure for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
savitrlabs.com ↗	72 match 2 shared topics	Savitr — Security infrastructure for autonomous AI	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
trendguard.co ↗	71 match 2 shared topics	TrendGuard™ \| Enterprise Trust and Verification Infrastructure for AI-mediated Commerce	Colombia en	artificial-intelligence Spree Commerce	robotsllmsaihumans	emailphone	none
agentfacts.ai ↗	70 match 2 shared topics	AgentFacts — Trust and Verify AI Agents	en	information-and-network-security	robots llms aihumans	emailphone	partial · 8
deployeverywhere.com ↗	70 match 2 shared topics	Deploy Everywhere — AI Infrastructure	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentseal.ai ↗	69 match 2 shared topics	AgentSeal — The Trust Layer for AI Agents	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
theunimind.com ↗	69 match 2 shared topics	Unimind — Intelligence Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agenticwaysolutions.tech ↗	69 match 2 shared topics	AgenticWay Solutions LLC — Sovereign AI Infrastructure	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentproofs.io ↗	68 match 2 shared topics	AgentProofs — Trust, Observability & Cost Attribution for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
8peaks.io ↗	68 match 2 shared topics	8peaks \| Sovereign AI Infrastructure & Zero Trust AI Platform \| EU AI Act Compliance	Belgium~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentoath.ai ↗	68 match 2 shared topics	AgentOath — Cryptographic Trust for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thevelocityroom.com ↗	68 match 2 shared topics	The Velocity Room \| AI Infrastructure & Security Community	en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.