Agenticfeed is an MCP server with 4 tools an agent can call, among them find_merchant, get_product, list_products. It answers at https://agenticfeed.ai/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 21 October 2026, succeeded.
Match shopper intent to a merchant's products and fetch live price, stock and product Q&A.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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. Inputs: domain |
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. Inputs: merchant, product_id |
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. Inputs: merchant, limit |
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 re Inputs: merchant, query, limit |
Every block below points at https://agenticfeed.ai/mcp. Pick your client and copy.
claude mcp add --transport http agenticfeed https://agenticfeed.ai/mcp
{
"mcpServers": {
"agenticfeed": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://agenticfeed.ai/mcp"]
}
}
}{
"mcpServers": {
"agenticfeed": {
"url": "https://agenticfeed.ai/mcp"
}
}
}{
"servers": {
"agenticfeed": {
"type": "http",
"url": "https://agenticfeed.ai/mcp"
}
}
}{
"context_servers": {
"agenticfeed": {
"url": "https://agenticfeed.ai/mcp"
}
}
}{
"mcpServers": {
"agenticfeed": {
"serverUrl": "https://agenticfeed.ai/mcp"
}
}
}{
"mcpServers": {
"agenticfeed": {
"url": "https://agenticfeed.ai/mcp"
}
}
}name: Agenticfeed
version: 0.0.1
schema: v1
mcpServers:
- name: Agenticfeed
type: streamable-http
url: https://agenticfeed.ai/mcp{
"mcpServers": {
"agenticfeed": {
"httpUrl": "https://agenticfeed.ai/mcp"
}
}
}{
"mcpServers": {
"agenticfeed": {
"type": "http",
"url": "https://agenticfeed.ai/mcp"
}
}
}{
"mcpServers": {
"agenticfeed": {
"url": "https://agenticfeed.ai/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fagenticfeed.ai%2Fmcp&type=streamable_http&id=agenticfeed&name=Agenticfeed
It answered our last check on 21 October 2026 in 370 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
4, as returned by the server's own tools/list on 13 September 2026: find_merchant, get_product, list_products, search_products.
It answered our last check on 21 October 2026 in 370 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://agenticfeed.ai/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.bluestratus. Endpoint host: agenticfeed.ai. ARD identifier: urn:air:io.github.bluestratus:mcp:agenticfeed.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.