GoBuy Product Trust

io.github.digitalmentes7-makerPublished by GitHub account digitalmentes7-makerv1.0.0Updated Oct 24, 2026

Marketplace-evidence trust scores for AI agents: a 0-100 Evidence Score with signal breakdown.

VerifiedStreamable HTTPWeb executableBusiness & Commerce

Overview

AI-generated overview

A remote MCP endpoint that returns 0-100 marketplace-evidence trust scores with a signal breakdown for products.

What you can do
GoBuy Product Trust is a remote MCP server reached at a hosted endpoint. According to its registry description, it provides marketplace-evidence trust scores for AI agents: a 0-100 Evidence Score together with a breakdown of the underlying signals. No individual tools are listed in the supplied manifest, so the exact operations are not documented here.
When to use it
Consider it when an assistant needs a quick trust or evidence rating for marketplace products and a signal breakdown to explain that rating. It is less relevant if you need product search, price comparison, or purchasing rather than scoring.
Requirements
A client that supports the streamable HTTP transport and network access to the remote endpoint. The manifest declares no authentication, no environment variables, and no headers, and no local package or runtime is required.
Before you install
The manifest declares no credentials, but the server is a third-party hosted endpoint, so any product or query data sent to it leaves your machine. The scoring method and signal sources are not documented in the supplied material, so treat scores as advisory rather than authoritative.

Installation

In SourceWeft

  1. Open GoBuy Product Trust in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.digitalmentes7-maker%2Fgobuy-product-trust/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "gobuy-product-trust": {
      "type": "http",
      "url": "https://mcp.gobuy.ai/mcp"
    }
  }
}

Tools

5

check_product_trust

Check Product Trust Score

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), not a computed GPV-1 checkout decision. Use this for individual product lookups. To compare and rank multiple products, use `compare_products` instead. Use `analyze_reviews` only for explicitly requested Amazon review-sample analysis; this lookup never fetches reviews. Read-only — does not modify any state or place orders. Scores describe available marketplace records, not product quality or purchase recommendations.

Parametersretailerrequiredproduct_idrequired

compare_products

Compare and Rank Products

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 fetches reviews. Unindexed products rank last. This is not purchase advice.

Parametersproductsrequired

analyze_reviews

Analyze Amazon Review Sample

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 sorted within the returned sample, but the provider does not guarantee the listing's newest 100. May trigger paid Bright Data collection and writes a seven-day analysis cache. force_refresh bypasses that cache and may start another paid scrape. A later explicit call without force_refresh resumes a pending job without a new scrape. Heuristics do not prove authenticity.

Parametersretailerrequiredproduct_idrequiredforce_refresh

check_store_score

Check Store Trust and Readiness Score

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 retailer product listing rather than a storefront, use `check_product_trust`.

Parametersdomainrequired

scan_store

Scan and Score Store Live

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 calls can trigger new scans. For marketplace product evidence, use `check_product_trust` instead. Docs: https://docs-gobuy.pages.dev

Parametersurlrequired

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

83% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.