MCP serverai.zrev/zrev
Grade any llms.txt, cold-read a homepage, run a B2B GTM ROI model, get a GTM diligence checklist.
Overview
Score?
UNRATED 0.690
of what a free look can see, on 17 looks
Looks
18
last 14 hr ago
Tools
9
changed 5 days ago
More info
URL
go.zrev.ai/mcp
streamable-http
Says it is
zrev 1.0.0
protocol 2025-06-18
In the record since
16 days ago
Among servers18,413 with a card
0median 0.606 · this server 0.690 · highest on record 0.8561
Toolsfrom sha256:d8ef7012dc…8ee98c · +0 −0 5 days ago
| Tool | Schema |
|---|---|
| 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, and contact details |
input · no output |
| 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 returns the scheduling |
input · no output |
| 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 that page and with n |
input · no output |
| 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 cost savings and the va |
input · no output |
| 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 busywork automated, r |
input · no output |
| 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 user asks how an eng |
input · no output |
| 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 and the pass or miss |
input · no output |
| 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 answers it and the red fl |
input · no output |
| 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 tool here that writes |
input · no output |
Verify it yourself
npx teppi-check https://go.zrev.ai/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M2SHA1XYYP0H3CBVF7Y629C4