zRev AI

Name: zRev AI
Author: ai.zrev

MCP serverMCP

Grade any llms.txt, cold-read a homepage, run a B2B GTM ROI model, get a GTM diligence checklist.

by ai.zrevhomepage ↗v1.0.0

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Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability79/79 checks ok

when	check	result	http	latency	detail
5 h ago	mcp initialize	ok	200	32 ms	server zrev 1.0.0 · protocol 2025-06-18 · 9 tools
12 h ago	mcp initialize	ok	200	161 ms	server zrev 1.0.0 · protocol 2025-06-18 · 9 tools
19 h ago	mcp initialize	ok	200	16 ms	server zrev 1.0.0 · protocol 2025-06-18 · 9 tools
26 h ago	mcp initialize	ok	200	12 ms	server zrev 1.0.0 · protocol 2025-06-18 · 9 tools
33 h ago	mcp initialize	ok	200	39 ms	server zrev 1.0.0 · protocol 2025-06-18 · 9 tools
2 d ago	mcp initialize	ok	200	100 ms	server zrev 1.0.0 · protocol 2025-06-18 · 9 tools
2 d ago	mcp initialize	ok	200	13 ms	server zrev 1.0.0 · protocol 2025-06-18 · 9 tools
2 d ago	mcp initialize	ok	200	14 ms	server zrev 1.0.0 · protocol 2025-06-18 · 9 tools
3 d ago	mcp initialize	ok	200	29 ms	server zrev 1.0.0 · protocol 2025-06-18 · 9 tools
3 d ago	mcp initialize	ok	200	12 ms	server zrev 1.0.0 · protocol 2025-06-18 · 9 tools

Tools observed via MCP handshake

about_zrev — Returns a plain-text profile of zRev AI: what the firm does, the companies it is the best fit for, who it is not for, its six service lines with a link to each,
get_benchmarks — Returns zRev's typical engagement results as plain text: 2x pipeline velocity, 20% lower customer acquisition cost, 10 hours back per rep per week, 60% of GTM b
get_engagement_timeline — Returns the phases of a standard 60-day zRev engagement as plain text: what happens in each phase, what is delivered, and when first results appear. Use when a
estimate_roi — Runs zRev's ROI model on one company's numbers and returns, as plain text, the projected annual impact in USD split into pipeline lift, customer acquisition cos
grade_llms_txt — Fetches https://<domain>/llms.txt (the file that tells AI systems what a site contains) and grades it with seven deterministic checks. Returns a 0 to 100 score
cold_read — Fetches a company's public homepage and returns, in two or three sentences, what the company appears to do and who it serves, based only on the visible text of
gtm_diligence_checklist — Returns zRev's go-to-market due diligence checklist for investors and acquirers: 47 questions across ten dimensions, each with the data-room artifact that answe
book_call — Returns the link and instructions for booking a free 30-minute intro call with zRev's founder, plus what the call covers. It does not book anything: it only ret
leave_contact — Records an email address, with optional name, company and note, so that zRev's founder can reach out, and returns a plain-text confirmation. This is the only to

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No long description beyond the summary.

kind Official MCP Registry

name Official MCP Registry

summary Official MCP Registry

version Official MCP Registry

description Official MCP Registry

homepageUrl Official MCP Registry

publisherName Official MCP Registry

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Official MCP Registryai.zrev/zrev

first seen 22 d ago · fetched 24 h agoopen ↗

Field history (6 recent events)

22 d ago · declared · summary → "Grade any llms.txt, cold-read a homepage, run a B2B GTM ROI model, get a GTM diligence checklist."
22 d ago · declared · description → "Grade any llms.txt, cold-read a homepage, run a B2B GTM ROI model, get a GTM diligence checklist."
22 d ago · declared · publisherName → "ai.zrev"
22 d ago · declared · homepageUrl → "https://www.zrev.ai/mcp"
22 d ago · declared · version → "1.0.0"
22 d ago · declared · protocols → ["mcp"]

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