zRev AI MCP MCP server

An official MCP server by zRev Solutions that allows AI agents to access company information, run GTM ROI models, grade llms.txt files, perform cold reads on homepages, and retrieve GTM diligence checklists. It serves as a bridge for AI agents to interact with zRev's revenue operations and strategy services.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by zRev Solutions

MCP endpoint (Streamable HTTP)

https://go.zrev.ai/mcp

Vendor documentation

What you can do with it

Estimate AI ROI for a company based on ARR and headcount
Grade a domain's llms.txt file for compliance and quality
Retrieve a 47-question GTM due diligence checklist
Perform a cold read analysis of a company homepage

Tools advertised by the last live check:

about_zrev
get_benchmarks
get_engagement_timeline
estimate_roi
grade_llms_txt
cold_read
gtm_diligence_checklist
book_call
leave_contact

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http zrev-ai-mcp https://go.zrev.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add zrev-ai-mcp --url https://go.zrev.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable zrev-ai-mcp in your MCP settings.

Cursor configuration

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

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "zrev-ai-mcp": {
      "type": "streamableHttp",
      "url": "https://go.zrev.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start zrev-ai-mcp and inspect its tools.

VS Code configuration

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

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http zrev-ai-mcp https://go.zrev.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

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

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

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

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