GoBuy Product Trust MCP Server
OfficialProvides tools to check marketplace-evidence scores for Amazon product listings and compare multiple Amazon listings by evidence score.
Provides tools to check marketplace-evidence scores for Target product listings and compare multiple Target listings by evidence score.
Provides tools to check marketplace-evidence scores for Walmart product listings and compare multiple Walmart listings by evidence score.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@GoBuy Product Trust MCP ServerCompare trust scores for Amazon B0BXYCS74H and Walmart 123456789."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
GoBuy Product Trust MCP Server
A public, read-only MCP server that gives AI agents GoBuy marketplace-evidence scores. One call returns a 0–100 evidence index, observed and missing signals, freshness, and product context.
Evidence Scores describe available marketplace records, not product quality, safety, value, suitability, seller legitimacy, or a purchase recommendation. Retailers do not endorse GoBuy.
Public endpoint: https://mcp.gobuy.ai/mcp
Service statistics are available at https://mcp.gobuy.ai/stats.
Tools
check_product_trust: inspect one Amazon, Walmart, Target, or Best Buy listing.compare_products: inspect and rank 2–20 listings by Evidence Score.
Both tools accept native retailer IDs. Example:
{
"retailer": "amazon",
"product_id": "B0BXYCS74H"
}Comparison input:
{
"products": [
{ "retailer": "amazon", "product_id": "B0BXYCS74H" },
{ "retailer": "walmart", "product_id": "123456789" }
]
}Related MCP server: BopMarket MCP Server
Run locally
Requirements: Node.js 20+ and pnpm.
cp .env.example .env
# Set INTERNAL_API_URL to the GoBuy API origin.
pnpm install
pnpm build
PORT=3000 INTERNAL_API_URL=https://your-gobuy-api.example pnpm startStreamable HTTP is available at http://localhost:3000/mcp. GET /mcp without an SSE Accept header is a health check. Cumulative in-process tool counts are at GET /stats.
No client authentication is required in v1. Requests are limited per IP to 60/minute and 1,000/day. Limit responses use HTTP 429 and Retry-After.
Client configuration
Any MCP Client
{
"mcpServers": {
"gobuy-product-trust": {
"url": "https://mcp.gobuy.ai/mcp"
}
}
}Claude Desktop
Claude Desktop commonly uses a local bridge for remote Streamable HTTP servers:
{
"mcpServers": {
"gobuy-product-trust": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.gobuy.ai/mcp"]
}
}
}Generic Streamable HTTP client
Point the client at https://mcp.gobuy.ai/mcp; no authorization header is needed.
Inspector
Run the official MCP Inspector:
npx @modelcontextprotocol/inspectorChoose Streamable HTTP, enter https://mcp.gobuy.ai/mcp, connect, list tools, then call check_product_trust or compare_products.
Docker
INTERNAL_API_URL=https://your-gobuy-api.example docker compose up --buildThe multi-stage image runs as the unprivileged node user and includes a /mcp healthcheck.
Operations
Each tool call emits one JSON log line with timestamp, tool, latency_ms, and status. /stats counters reset when the process restarts.
License
MIT
This server cannot be deployed
Maintenance
Related MCP Connectors
AI-agent product catalog: search, lookup & purchase routing over verified merchant data.
Marketplace-evidence trust scores for AI agents: a 0-100 Evidence Score with signal breakdown.
Real-time Amazon product, seller, and search data for AI agents across 21 marketplaces.
Beta. Pay-per-call eCommerce competitive intel for AI agents: pricing, promos, readiness & more.
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