mcp
Pre-purchase trust checks for AI agents: recalls, scam signals, proceed/caution/avoid verdict.
Should I use this
Quality & Safety
A
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
~156Tokens (tool definitions)
~1.1 KBTypical response size
Minimal attention impact (0.12% of 128k context)
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"mcp": {
"url": "https://purchaseiq.io/api/mcp"
}
}
}Remote endpoints
https://purchaseiq.io/api/mcpstreamable-httpWhat it can do
Tool inventory
Tools (1)
🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢analyze_purchase(url, company, product, barcode, country)
Assess trust and safety of a product, seller, or purchase URL. Returns a verdict (proceed/caution/avoid), trust score 0-100, top risk flags, and a one-line reason. Informational only, not advice — see purchaseiq.io/terms.
Input Schema
{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "Product or store URL"
},
"company": {
"type": "string",
"description": "Seller or company name"
},
"product": {
"type": "string",
"description": "Product name or description"
},
"barcode": {
"type": "string",
"description": "EAN, GTIN, or UPC barcode"
},
"country": {
"type": "string",
"description": "ISO country code (default: US)"
}
}
}Community
Evidence
Recent observations
verifiedversion not recorded1 tools
verifiedversion not recorded1 tools