Papyras Product Catalog

io.github.papyrasai-cpuPublished by GitHub account papyrasai-cpuv1.2.0Updated Nov 11, 2026

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

VerifiedStreamable HTTPWeb executableWeb Search & ScrapingBusiness & Commerce

Overview

AI-generated overview

Papyras exposes a catalog of 37,000+ home, garden, outdoor and tool products so an assistant can search items, compare prices and share buy links.

What you can do
  • Search the catalog with natural-language queries plus price, brand or tag filters
  • Fetch full detail for one product, including specs, price, availability and purchase link
  • Retrieve many products at once by ID, up to 100 per call
  • Page through the whole catalog in order for bulk export
  • Look up related products, though this currently returns nothing useful
When to use it
Useful when an assistant needs to recommend or compare physical home, garden, outdoor or tool products, quote current prices and stock, or hand the user a purchase link. Also suited to bulk catalog walks when a list of candidate product IDs already exists.
Requirements
A remote streamable HTTP endpoint; no package, account, API key or environment variable is declared. Network access to the provider's endpoint is required.
Before you install
Results include affiliate purchase URLs, so recommendations may carry commercial incentives. Prices and availability come from the provider and should be confirmed before purchase. The related-products tool returns empty results for now, and batch lookups are capped at 100 IDs per call.

Installation

In SourceWeft

  1. Open Papyras Product Catalog in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.papyrasai-cpu%2Fpapyras/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "papyras-product-catalog": {
      "type": "http",
      "url": "https://papyrasai.com/mcp"
    }
  }
}

Tools

5

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 model has more context to place the query vector precisely. Combine with structured filters (category, brand, price range, intent_tag, use_case_tag, audience_tag) to narrow results further. Defaults to showing only in_stock products. Pass availability="all" to see every status, or a specific value (in_stock | out_of_stock | preorder | discontinued) to filter to just that one. Returns a dict with `results` (list of product summaries including name, price, affiliate_url, tags, and a short explanation of why the product is relevant), plus `count`, `limit`, `offset`, and whether semantic search was actually used.

Parametersbrandlimitqueryoffsetcategorymax_pricemin_priceintent_tagaudience_tagavailabilityuse_case_tag

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 regardless of stock status -- this is a direct lookup, not a discovery search.

Parametersproduct_idrequired

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 products and `not_found` for any IDs that don't exist in the catalog.

Parametersproduct_idsrequired

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 status. Increase `offset` to get subsequent pages.

Parameterslimitoffsetavailability

Version history

1
  1. v1.2.0LatestNov 11, 2026

Score

83% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.