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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

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

claude mcp add --transport http gobuy-product-trust https://mcp.gobuy.ai/mcp

[mcp_servers.gobuy-product-trust]
url = "https://mcp.gobuy.ai/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "gobuy-product-trust": {
      "type": "remote",
      "url": "https://mcp.gobuy.ai/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "gobuy-product-trust": {
      "type": "http",
      "url": "https://mcp.gobuy.ai/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=gobuy-product-trust&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLmdvYnV5LmFpL21jcCJ9"
}

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

{
  "mcpServers": {
    "gobuy-product-trust": {
      "httpUrl": "https://mcp.gobuy.ai/mcp"
    }
  }
}

extensions:
  "gobuy-product-trust":
    enabled: true
    name: "gobuy-product-trust"
    type: streamable_http
    uri: "https://mcp.gobuy.ai/mcp"
    timeout: 300

Quality 75 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene100 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations5 of 5 tools declare readOnlyHint or destructiveHint
pass
tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
pass
tools.token_costabout 1,384 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability25 · weight 15

warn
stability.changes12 tool changes in 30 days
fail
stability.rug_pull5 tools kept their name but changed most of their description in 30 days; review before trusting them

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

5 tools, about 1,384 tokens to load them all · tool set 0326970e6bdd · tools last changed 2026-10-14 · checked 2026-10-20 17:02 UTC

Tool changes

2026-10-14scan_storechangedtitle, description, annotationsmeaning changed
before
Score any online store live with a fresh crawl (~20 seconds). Use when check_store_score returns 404. Docs: https://docs-gobuy.pages.dev
after · 39% of words in common
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
2026-10-14check_store_scorechangedtitle, description, annotationsmeaning changed
before
Get the GoBuy Score for an independent store or Shopify storefront — what AI shopping agents see when they visit: agent-readiness, trust signals, structured data, review system.
after · 29% of words in common
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`.
2026-10-14analyze_reviewschangedtitle, description, input schema, annotationsmeaning changed
before
Analyzes up to 100 recent reviews (~30-90 seconds). Bright Data can take longer. On-demand Amazon sampling without your cookie; reviews are sorted within the returned sample, but the provider does not guarantee the listing's newest 100. Cached for seven days. Heuristics do not prove authenticity.
after · 48% of words in common
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.
2026-10-14compare_productschangedtitle, description, input schema, annotationsmeaning changed
before
Compare 2–20 retailer listings and rank them by marketplace-evidence score. This is not purchase advice.
after · 29% of words in common
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.
2026-10-14check_product_trustchangedtitle, description, input schema, annotationsmeaning changed
before
Return the indexed 0–100 marketplace-evidence score and complete available signal breakdown for one retailer listing.
after · 19% of words in common
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.
2026-09-29analyze_reviewsadded
Analyzes up to 100 recent reviews (~30-90 seconds). Bright Data can take longer. On-demand Amazon sampling without your cookie; reviews are sorted within the returned sample, but the provider does not guarantee the listing's newest 100. Cached for seven days. Heuristics do not prove authenticity.
2026-09-29scan_storechangeddescription, annotations
before
Score any online store live with a fresh crawl (~20 seconds). Use when check_store_score returns 404.
after · 76% of words in common
Score any online store live with a fresh crawl (~20 seconds). Use when check_store_score returns 404. Docs: https://docs-gobuy.pages.dev
2026-09-29check_store_scorechangedannotations
2026-09-29compare_productschangedannotations
2026-09-29check_product_trustchangedannotations

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 74 / 100

no-repository

provenance35

liveness100

freshness85

hygiene80

+reachable +uptime-100% ~updated-41d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://mcp.gobuy.ai/mcp` streamable-http	none	yes	100%	703 ms	2025-11-25	2026-10-20

Tools (5)

`analyze_reviews`	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.
`check_product_trust`read-only	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.
`check_store_score`read-only	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`.
`compare_products`read-only	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.
`scan_store`	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

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "io.github.digitalmentes7-maker/gobuy-product-trust",
  "title": "GoBuy Product Trust",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mcp.gobuy.ai/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.0",
  "description": "Marketplace-evidence trust scores for AI agents: a 0-100 Evidence Score with signal breakdown."
}