# Agenticfeed Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Agenticfeed

Find products that match what you need at any merchant, with live prices and stock.

- Record: https://musedirectory.ai/connector/agenticfeed
- Category: Shopping & Commerce
- Developer: Blue Stratus (https://agenticfeed.ai)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 61ms, checked 2026-09-28T08:16:03Z
- Endpoint: https://agenticfeed.ai/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-09-25T05:41:24Z)
- Source: Found in the official MCP Registry (io.github.bluestratus/agenticfeed) https://registry.modelcontextprotocol.io/v0/servers?search=io.github.bluestratus%2Fagenticfeed

Connects to merchants using Agenticfeed to search their catalogs by shopper intent (needs, questions, problems), returning ranked in-stock products with live pricing, availability, images, and product Q&A.

Example request: "Find a light strategy board game for 4 players under thirty pounds at my favorite game shop."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Agenticfeed to help me. It is a free service with an MCP server at https://agenticfeed.ai/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- 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

Screening checks:
- MCP handshake: pass (Answered in 66ms)
- Domain against threat feeds (Cloudflare security DNS): pass (agenticfeed.ai not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (4 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (Domain registered 154 days ago)
- AI review of purpose and tool behavior: pass (No concerns)