GoBuy Product Trust
REMOTE · MCP.GOBUY.AI
Marketplace-evidence trust scores for AI agents: a 0-100 Evidence Score with signal breakdown.
Available components
Last scanned (8 hours ago)
Scores higher than 94% of remote servers
Reachable. Last reached 5 Nov 2026.
Category E-commerce
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security80
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability76
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 750 tokens (~150/item across 5 items; 5 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage92
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 75% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 5 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 15 Oct 26 +3
- Tool “analyze_reviews” rewrote its description, which is the text the model reads security
- Tool “check_product_trust” rewrote its description, which is the text the model reads security
- Tool “check_store_score” rewrote its description, which is the text the model reads security
- Tool “compare_products” rewrote its description, which is the text the model reads security
- Tool “scan_store” rewrote its description, which is the text the model reads security
- Schema quality: pass → fail ▼ functional
- Tool coverage: 50% → 75% ▲ functional
- Schema quality: good → excellent functional
- Server version: 1.0.0 → 1.1.0 functional
- “analyze_reviews” reworded the description of “force_refresh” cosmetic
- “analyze_reviews” reworded the description of “product_id” cosmetic
- “analyze_reviews” reworded the description of “retailer” cosmetic
- “check_product_trust” reworded the description of “product_id” cosmetic
- “check_product_trust” reworded the description of “retailer” cosmetic
- “compare_products” reworded the description of “products” cosmetic
- Tool “analyze_reviews” changed its title: Analyze Amazon Review Sample cosmetic
- Tool “check_product_trust” changed its title: Check Product Trust Score cosmetic
- Tool “check_store_score” changed its title: Check Store Trust and Readiness Score cosmetic
- Tool “compare_products” changed its title: Compare and Rank Products cosmetic
- Tool “scan_store” changed its title: Scan and Score Store Live cosmetic
- 10 Oct 26 0
- Stability: 0.97 → pass security
- 8 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 97. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 5 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 30 Sept 26 0
- Schema quality: 49 → 61 ▼ functional
- Tool coverage: 40% → 50% ▲ functional
- New tool “analyze_reviews” functional
- 29 Sept 26 0
- Authorization: unverified → partial ▲ security
- Tool “scan_store” rewrote its description, which is the text the model reads security
- 28 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 25 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Probed https://mcp.gobuy.ai/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=mcp.gobuy.ai | CN=YE1,O=Let's Encrypt,C=US | 7 Sept 2026 | 6 Dec 2026 | ECDSA 256 | ECDSA-SHA384 | 6a28cf8b95a576ae69d438cf7b319a27c04 |
| SANs: mcp.gobuy.ai | ||||||
| CN=YE1,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 5ddd70dd31f801c85c186a7a04b80afe |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of mcp.gobuy.ai. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| ai. | present | 1814, 3799 | 8, 8 | Verified |
| gobuy.ai. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=63072000; includeSubDomains |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://mcp.gobuy.ai/mcp | Verified | 200 | |
| http (plaintext) | http://mcp.gobuy.ai/mcp | HTTPS enforced | 301 | https://mcp.gobuy.ai:443/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
analyze_reviews Analyze Amazon Review Sample ~226
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.
| Name | Type | Req | Description |
|---|---|---|---|
| force_refresh | boolean | – | Bypass the seven-day cache; may start a new paid review scrape. Leave false to reuse cache or resume a pending job. |
| product_id | string | yes | Native retailer product ID, such as an Amazon ASIN (e.g. 'B0BXYCS74H'). |
| retailer | string | yes | Marketplace containing the listing: amazon, walmart, target, or bestbuy. |
No output schema declared.
No examples provided.
check_product_trust Check Product Trust Score ~219
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.
| Name | Type | Req | Description |
|---|---|---|---|
| product_id | string | yes | Native retailer product ID, such as an Amazon ASIN (e.g. 'B0BXYCS74H'). |
| retailer | string | yes | Marketplace containing the listing: amazon, walmart, target, or bestbuy. |
No output schema declared.
No examples provided.
check_store_score Check Store Trust and Readiness Score ~93
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`.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | – |
No output schema declared.
No examples provided.
compare_products Compare and Rank Products ~105
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.
| Name | Type | Req | Description |
|---|---|---|---|
| products | array | yes | Array of 2-20 product references to compare and rank. |
No output schema declared.
No examples provided.
scan_store Scan and Score Store Live ~107
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
| Name | Type | Req | Description |
|---|---|---|---|
| url | string | yes | – |
No output schema declared.
No examples provided.
How do I install the GoBuy Product Trust MCP server?
GoBuy Product Trust is a hosted endpoint at https://mcp.gobuy.ai/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · mcp.gobuy.ai
claude mcp add --transport http digitalmentes7-maker-gobuy-product-trust 'https://mcp.gobuy.ai/mcp'
What is the GoBuy Product Trust MCP server?
GoBuy Product Trust is an MCP server listed in the public MCP registry as io.github.digitalmentes7-maker/gobuy-product-trust. Marketplace-evidence trust scores for AI agents: a 0-100 Evidence Score with signal breakdown. This page covers its hosted endpoint (https://mcp.gobuy.ai/mcp).
Is the GoBuy Product Trust MCP server safe to use?
GoBuy Product Trust scores 87 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the GoBuy Product Trust MCP server expose?
GoBuy Product Trust exposes 5 tools: check_product_trust, compare_products, analyze_reviews, check_store_score, scan_store. Their descriptions and schemas cost roughly 750 tokens of context every time the server is loaded.
Does the GoBuy Product Trust MCP server require authentication?
No. We connected to GoBuy Product Trust without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the GoBuy Product Trust MCP server still maintained?
GoBuy Product Trust is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.