Agenticfeed MCP server
online · 100% uptimeio.github.bluestratus/agenticfeed·v0.2.0Match shopper intent to a merchant's products and fetch live price, stock and product Q&A.
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If you have run it, two minutes of your experience saves the next person an afternoon.
Agenticfeed tools (4)
write = sends, deletes, buys or postsfind_merchantFreeResolve 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_productFreeGet 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_productsFreeList 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_productsFreeFind 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 (questions, problems, use cases). Call find_merchant first to get the merchant ID.
Public scan report
scanner v0.1.9 · 2026-09-25 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 338ms20/20
- Tool poisoning4 tool descriptions checked15/15
- Auth qualityopen endpoint, read-only tools10/15
- Maintenancelast push 76 days ago12/15
- Maintainer identityregistry namespace matches repository owner6/10
How Agenticfeed compares
Against every graded E-commerce MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 84/100
- higher than 78% of 2,174 E-commerce servers
- Tools
- 4
- the typical E-commerce server has 6
- Tools that change things
- 0%
- typical: 0%. Fewer write tools means less an agent can break
- Uptime
- 100%
- of our recent checks; the typical remote E-commerce server answers 100%
- Response time
- 35 ms
- faster than 97% of 1,527 E-commerce servers
What its tools let an agent do: 4 read
Install Agenticfeed in Claude Code, Cursor or VS Code
claude mcp add --transport http agenticfeed https://agenticfeed.ai/mcp
What the publisher says
From the Agenticfeed repository's README, as published. We do not edit it. Read it on GitHub
Agenticfeed Standard
An open specification for making ecommerce product catalogues readable by AI shopping agents.
AI assistants like ChatGPT, Claude, Perplexity, and Gemini are already recommending products to millions of shoppers. They do not browse category pages or read banner ads. They consume structured data and reason about which products best match the buyer's intent. Most merchant websites are invisible to them.
This standard defines a lightweight, discoverable format that gives AI agents exactly what they need.
Quick start
Add one line to the of every page on your website:
<link rel="agenticfeed" type="application/json" href="https://yourdomain.com/feed.json">That tag tells any AI agent or crawler where your structured product feed lives. The rest of this document describes what that feed should contain.
Contents
- What is an agentic feed?
- Why does this standard exist?
- How is it different from a Google Merchant Center feed?
- How do AI agents discover it?
- How do I add it to my website?
- Specification
- 1. Discovery tag
- 2. Feed index
- 3. Intent endpoints
- 4. Product detail
- 5. UTM attribution
- 6. Link validation
What is an agentic feed?
An agentic feed is a structured product data feed built for AI agents rather than search engine crawlers or human browsers.
A traditional product page is designed to be rendered and read by a person. A Google Merchant Center feed is designed to be parsed by a price comparison engine. An agentic feed is designed to be reasoned about by an AI.
The key difference is intent data. Where a merchant feed tells an agent "here is a cordless drill, it costs £29.99 and it is in stock," an agentic feed tells it "here is a cordless drill that answers the question what drill do I need for assembling flat-pack furniture, solves the problem I keep stripping screws with my old drill, and fits the use case home DIY for a first-time homeowner."
That is the layer of context an AI agent needs to make a confident recommendation to a specific buyer.
Why does this standard exist?
AI shopping is already happening. The tooling to serve it well does not yet exist as an open, portable standard.
Search engines standardised web content discovery through sitemaps, robots.txt, and canonical tags. RSS standardised content syndication through a single autodiscovery tag. Neither was designed for the kind of structured reasoning that AI agents perform when they decide what to recommend.
This specification fills that gap. It defines:
- How a website signals to AI agents that a structured product feed exists
- What format that feed takes
- How intent data (questions, problems, use cases) is structured alongside standard product data
- How AI agents navigate from a buyer's query to a specific product recommendation
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Agenticfeed: common questions
- Is Agenticfeed MCP server safe?
- Mostly: it is graded B (84/100). Read the Agenticfeed safety report
- How do I install Agenticfeed?
- It runs remotely at agenticfeed.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Agenticfeed need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Agenticfeed maintained?
- The last commit was 116 days ago (2026-07-11). The latest release is v0.2.0.
- Is Agenticfeed up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- What can I use instead of Agenticfeed?
- Servers from other publishers that do the same job: Apiguru Amazon Data MCP server, Tiny MCP server and Shopware MCP server.
- How does Agenticfeed compare with other E-commerce MCP servers?
- safety score 84/100 (higher than 78% of 2,174 E-commerce servers); tools 4 (the typical E-commerce server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to Agenticfeed
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