Marketing

zrev.ai

Provides zRev AI's go-to-market automation service profile, benchmarks, engagement timeline, and ROI estimator, along with a tool to grade a domain's llms.txt file.

1 endpoint9 known toolsFirst detected September 18, 2026Last detected September 18, 2026

ENDPOINT 1

https://go.zrev.ai/mcp

No auth detected

MCP server metadata

Name: zrev
Version: 1.0.0

Capabilities

tools

Server instructions

zRev is an AI-powered GTM consultancy for B2B companies. Use the tools to learn what it does, run its ROI model on a company's numbers, or (only when the human explicitly asks) leave contact details or book a call.

Known tools 9

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.

Inferred read-only

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, results that start inside 30 days and mature by 60.

Inferred read-only

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.

Inferred read-only

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 value of hours returned to the team, followed by the model's assumptions and a link to the interactive calculator preset to the same inputs.

Inferred read-only

grade_llms_txt

Fetches https://<domain>/llms.

Inferred read-only

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 no outside knowledge.

Inferred read-only

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 flag to watch for.

Inferred read-only

book_call

Returns the link and instructions for booking a free 30-minute intro call with zRev's founder, plus what the call covers.

Inferred read-only

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.

Potential side effects

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.zrev]
url = "https://go.zrev.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "zrev": {
      "type": "http",
      "url": "https://go.zrev.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: zrev
Remote MCP URL: https://go.zrev.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "zrev": {
      "url": "https://go.zrev.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "zrev": {
      "type": "http",
      "url": "https://go.zrev.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "zrev",
  "transport": "streamable-http",
  "url": "https://go.zrev.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.