MCP server
GoBuy Product Trust
io.github.digitalmentes7-maker/gobuy-product-trust
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Marketplace-evidence trust scores for AI agents: a 0-100 Evidence Score with signal breakdown.
Working at last checkAbout 1,463 tokens per request once connected5 tools
https://mcp.gobuy.ai/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 5
- Token cost
- About 1,463 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
Connect it to your agent
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 gobuy-product-trust https://mcp.gobuy.ai/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.gobuy-product-trust] url = "https://mcp.gobuy.ai/mcp"
Gemini CLI
{"mcpServers":{"gobuy-product-trust":{"httpUrl":"https://mcp.gobuy.ai/mcp"}}}
Cursor
{"mcpServers":{"gobuy-product-trust":{"url":"https://mcp.gobuy.ai/mcp"}}}
VS Code
{"servers":{"gobuy-product-trust":{"type":"http","url":"https://mcp.gobuy.ai/mcp"}}}
Antigravity
agy mcp add gobuy-product-trust https://mcp.gobuy.ai/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":"gobuy-product-trust","server_url":"https://mcp.gobuy.ai/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"gobuy-product-trust","server_url":"https://mcp.gobuy.ai/mcp"}
Tools
analyze_reviews~393 tokens
Analyzes up to 100 recent reviews (~30-90 seconds). Bright Data can take longer. Use only when Amazon review-sample analysis is explicitly requested; use `check_product_trust` for an existing evidence score or `compare_products` to rank listings. On-demand sampling without your cookie; reviews are scheck_product_trust~356 tokens
Return the GoBuy Evidence Score (0-100) and complete signal breakdown for a single retailer listing on Amazon, Walmart, Target, or Best Buy. This is the GPV-1 gate evaluator: score >= 55 PASS, 35-54 FLAG, < 35 or not-indexed BLOCK. The returned verdict is an evidence tier (strong/moderate/weak), notcheck_store_score~204 tokens
Retrieve a previously scored independent store or Shopify storefront by domain: agent-readiness, trust signals, structured data, and review system. Use this first for an existing store score; it is read-only and does not crawl. If not scored yet, use `scan_store` for an explicit fresh scan. For a recompare_products~318 tokens
Fetch Evidence Scores for 2-20 retailer listings and rank them by GoBuy Evidence Score (highest first). Use this when an agent is choosing between multiple products. For a single product lookup, use `check_product_trust` instead. Read-only — does not modify any state or place orders, and never fetchscan_store~192 tokens
Score any online store live with a fresh crawl (~20 seconds). Use when `check_store_score` returns 404 or a fresh scan is explicitly requested. Use `check_store_score` instead to retrieve an existing result without crawling. Requires a full HTTP(S) URL and updates the stored store score; repeated ca
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