INDIVIDUAL MCP TOOL

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.

zrev.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://go.zrev.ai/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_engagement_timeline and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

zrev.ai

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.

Related tools

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.
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.
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.
grade_llms_txt — Fetches https://<domain>/llms.
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.
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.
book_call — Returns the link and instructions for booking a free 30-minute intro call with zRev's founder, plus what the call covers.
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.