AiAgentKarl/agentic-product-protocol-mcp
Klarna-style product discovery for AI agents — structured product data, comparison, feed conversion
Platform-specific configuration:
{
"mcpServers": {
"agentic-product-protocol-mcp": {
"command": "npx",
"args": [
"-y",
"agentic-product-protocol-mcp"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
Klarna-style product discovery for AI shopping agents.
Makes product catalogs machine-readable so AI agents can search, compare, and purchase products programmatically — no screen scraping, no landing pages.
Today's e-commerce is built for humans: landing pages, image carousels, "Add to Cart" buttons. AI shopping agents can't efficiently navigate this. They need structured product data — not HTML.
Klarna introduced the Agentic Product Protocol (December 2025) to solve exactly this: a standardized way for merchants to expose their product catalogs to AI agents. Think of it as RSS feeds, but for shopping.
This MCP server implements the core ideas of agentic product discovery:
Uses Open Food Facts as a demo data source — works with any product feed.
pip install agentic-product-protocol-mcpOr with uvx (no install needed):
uvx agentic-product-protocol-mcpAdd to claude_desktop_config.json:
{
"mcpServers": {
"product-protocol": {
"command": "uvx",
"args": ["agentic-product-protocol-mcp"]
}
}
}claude mcp add product-protocol -- uvx agentic-product-protocol-mcp| Tool | Description | |------|-------------| | search_products | Search products with structured results (name, nutrition, labels, st
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