# Papyras Muse connector

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

## Papyras

Search 37,000 home, garden, outdoor and tool products with live prices and buy links.

- Record: https://musedirectory.ai/connector/papyras
- Category: Shopping & Commerce
- Developer: Papyras (https://papyrasai.com/agents.html)
- 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, 299ms, checked 2026-11-10T18:01:19Z
- Endpoint: https://papyrasai.com/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-11-10T18:01:19Z)
- Source: Found in the official MCP Registry (io.github.papyrasai-cpu/papyras) https://registry.modelcontextprotocol.io/v0/servers?search=io.github.papyrasai-cpu%2Fpapyras

Connects to the Papyras catalog of more than 37,000 home, garden, outdoor and tool products. Muse can search in plain language or filter by brand, category and price, pull full details and ratings, and return affiliate buy links for checkout.

Example request: "Find me an in-stock pressure washer under $200 for a patio and give me the buy link."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Papyras to help me. It is a free service with an MCP server at https://papyrasai.com/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:
- search_products:  Search the Papyras product catalog using hybrid structured + semantic search. Pass `query` for free-text/natural-language search -- longer, natural phrases (e.g. "pressure washer for patio") retrieve more accurately than bare single words (e.g. "patio"), since the embedding mode
- get_product:  Fetch full detail for a single product by its UUID, including description, material/color/size, full enrichment fields (explanation_long, carousel_label, gift-friendliness, price percentile, rating), current price/availability, and the affiliate purchase URL. Returns full detail
- get_products_batch:  Fetch multiple products at once by their UUIDs (max 100 per call). Useful when an agent already has a list of candidate product IDs (e.g. from a previous search) and wants full current data for all of them in one call instead of N separate lookups. Returns `results` for found pr
- get_related_products:  Fetch products related to a given product (similar, accessory, bundle, or alternative relationships). Currently returns an empty list for all products since relationship data hasn't been generated yet -- calling this will not error, it just won't return anything useful until tha
- get_feed_page:  Page through the full product catalog sequentially (ordered by when each product was added), rather than searching for anything specific. Useful for bulk export or systematically walking the entire catalog. Defaults to in_stock only; pass availability="all" to include every stat

Screening checks:
- MCP handshake: pass (Answered in 299ms)
- Domain against threat feeds (Cloudflare security DNS): pass (papyrasai.com 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 (5 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (No redirects off the domain)
- AI review of purpose and tool behavior: pass (affiliate buy links are disclosed in the tool description)