MCP server

PrimeReviewsPro Fake Review Checker Official

com.primereviewspro/check-reviews

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Detect fake or manipulated product reviews from Amazon, Trustpilot, Google and Etsy.

Working at last checkVerified publisher: primereviewspro.comAbout 283 tokens per request once connected1 tools

https://primereviewspro.com/mcp

At a glance

Type: MCP server
Publisher: primereviewspro.com (verified by the MCP Registry)
Status: Working at last check
Tools: 1
Token cost: About 283 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http check-reviews https://primereviewspro.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.check-reviews]
url = "https://primereviewspro.com/mcp"

Gemini CLI

{"mcpServers":{"check-reviews":{"httpUrl":"https://primereviewspro.com/mcp"}}}

Cursor

{"mcpServers":{"check-reviews":{"url":"https://primereviewspro.com/mcp"}}}

VS Code

{"servers":{"check-reviews":{"type":"http","url":"https://primereviewspro.com/mcp"}}}

Antigravity

agy mcp add check-reviews https://primereviewspro.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"check-reviews","server_url":"https://primereviewspro.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"check-reviews","server_url":"https://primereviewspro.com/mcp"}

check_reviews ~283 tokens
Check whether a product's reviews look fake or manipulated. Paste at least 3 reviews (Amazon, Trustpilot, Google or Etsy), each separated by a BLANK LINE. Returns how many reviews read as real / suspicious / fake, an overall fake-percentage, a risk level, the manipulation signals found, and a per-re

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