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io.github.bluestratus/agenticfeed

io.github.bluestratus/agenticfeed · v0.2.0

No registry update 90+ days

Measured by MCP Station

Last check	Reachable
Checked at	—
Check success 7 / 30 days	—
First-try success 30 days	—
Median response	—
Lookups 30 days	—
Authentication	No auth
MCP version	2025-06-18
Rank score	—
Declared risk	Not declared (tools carry no read/destructive hints)
Capabilities declared	tools
Tool definitions	4 tools · with description 100% · input schema is an object 100% · read/destructive hints 0%

Match shopper intent to a merchant's products and fetch live price, stock and product Q&A.

streamable-http · https://agenticfeed.ai/mcp

claude mcp add --transport http agenticfeed https://agenticfeed.ai/mcp

{
  "mcpServers": {
    "agenticfeed": {
      "url": "https://agenticfeed.ai/mcp"
    }
  }
}

find_merchant
Resolve a merchant's website domain to their Agenticfeed merchant ID and confirm they publish an Agentic Feed. Call this first when you only know a store's domain; use the returned merchant_id with get_product or the discovery feeds.
get_product
Get full detail for a single product by merchant_id and product_id: name, price, currency, availability, image, and the buyer questions, problems, and use cases it maps to. Returns a schema.org Product.
list_products
List a merchant's in-stock products (product_id, title, price, availability, url). Call after find_merchant to see the catalogue, then get_product for full detail. For a specific shopper need, prefer search_products.
search_products
Find a merchant's products that match a shopper's need, question, problem, or use case. Pass the buyer intent in natural language (e.g. "a light strategy game for 4 players under thirty pounds"); returns ranked in-stock products with the reason each fits, drawn from Agenticfeed's intent mapping (que

Repository · Website · JSON · Text for agents · Registry updated 2026-07-17