mcp server
agenticfeed
Match shopper intent to a merchant's products and fetch live price, stock and product Q&A.
Description as published by the maintainer. Source
- version 0.2.0
- active
active — Most recent push to the repository was 2026-07-11.
What this server can do
4 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
find_merchant(domain)- 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. Required: domain.
get_product(merchant, product_id)- 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. Required: merchant, product_id.
list_products(limit, merchant)- 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. Required: merchant.
search_products(limit, query, merchant)- 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 (questions, problems, use cases). Call find_merchant first to get the merchant ID. Required: merchant, query.
Last successful function declaration observed on . Source: https://agenticfeed.ai/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://agenticfeed.ai/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-07-11 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.2.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-17 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-07-17 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 4 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | agenticfeed.ai | |
| mcp endpoint status | ok | The server listed 4 functions when asked. | as of probe | agenticfeed.ai |
Where to get it
Related, by what their authors tagged them
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These share tags the maintainers applied themselves, such as ecommerce, json-ld, schema-org, open-standard. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: ai, ecommerce, json-ld, llm, open-standard, product-feed, schema-org, shopping-agents.
This record as data
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