eCommerce
aiproductcheck.com
Audits an online store's product page for AI shopping assistant readability and returns a ready-to-paste JSON-LD Product snippet generated from the page's actual content.
ENDPOINT 1
https://aiproductcheck.com/mcp
MCP server metadata
- Name
- aiproductcheck
- Version
- 1.0.0
Use audit_product_page when a user asks whether their store or product page is readable by AI shopping assistants, why it is not showing up in AI answers, or what structured data it is missing.
Known tools 1
audit_product_pageChecks whether an online store can be read and cited by AI shopping assistants, and returns a ready-to-paste JSON-LD Product snippet built from what is actually on the page.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.aiproductcheck]
url = "https://aiproductcheck.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"aiproductcheck": {
"type": "http",
"url": "https://aiproductcheck.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: aiproductcheck
Remote MCP URL: https://aiproductcheck.com/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"aiproductcheck": {
"url": "https://aiproductcheck.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"aiproductcheck": {
"type": "http",
"url": "https://aiproductcheck.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "aiproductcheck",
"transport": "streamable-http",
"url": "https://aiproductcheck.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.