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Resolve store domains and fetch AI-ready full product feed details.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.bluestratus/agenticfeed" MCP server from askskill: Run: claude mcp add --transport http 'io-github-bluestratus-agenticfeed' 'https://agenticfeed.ai/mcp'
Using the store domain example-store.com, resolve the merchant ID and fetch full product details. Return structured results including product name, price, availability, brand, and product URL.
Returns the merchant ID for the store and a structured list of product details for analysis or AI workflows.
Fetch the full product feed for shopbrand.io and organize it into analysis-ready fields: product ID, title, category, price, discount, availability, and image URL.
Outputs cleaned product fields ready for reporting, assortment analysis, or modeling.
Get the merchant ID and full product details from demo-shop.net, then generate structured product context suitable for LLM retrieval.
Returns product knowledge data with key attributes and normalized structure for RAG or AI assistants.
Query merchant hierarchies, locations, and industry codes for AI-driven business analysis.
Discover, verify, and assess AI agents before making transactions.
Let AI inspect DOM, console, and network to debug web apps.
Discover, subscribe to, and filter RSS feeds across many websites automatically.
Search Shopify stores, enrich domains, and uncover approved contact channels.
Provides a fake shop interface for AI agents to simulate purchases.