papyras-catalog

endpoint

https://papyrasai.com/mcp

protocol

streamable-http ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is papyras-catalog live?

Yes — it answered the hub's last check (checked 6h ago). It answered 100% of checks over the last 30 days.

Is papyras-catalog free to use?

Yes — the hub reached it with no key and no payment.

What tools does papyras-catalog have?

5 tools: get_related_products, get_products_batch, get_product, search_products, get_feed_page.

Is papyras-catalog safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• search_products open 6h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "title": "search_productsArguments",
    "properties": {
      "brand": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Brand",
        "default": null
      },
      "limit": {
        "type": "integer",
        "title": "Limit",
        "default": 20
      },
      "query": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Query",
        "default": null
      },
      "offset": {
        "type": "integer",
        "title": "Offset",
        "default": 0
      },
      "category": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Category",
        "default": null
      },
      "max_price": {
        "anyOf": [
          {
            "type": "number"
          },
          {
            "type": "null"
          }
        ],
        "title": "Max Price",
        "default": null
      },
      "min_price": {
        "anyOf": [
          {
            "type": "number"
          },
          {
            "type": "null"
          }
        ],
        "title": "Min Price",
        "default": null
      },
      "intent_tag": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Intent Tag",
        "default": null
      },
      "audience_tag": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Audience Tag",
        "default": null
      },
      "availability": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Availability",
        "default": null
      },
      "use_case_tag": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Use Case Tag",
        "default": null
      }
    }
  }

  arguments 124 lines copy
• get_feed_page open 6h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "title": "get_feed_pageArguments",
    "properties": {
      "limit": {
        "type": "integer",
        "title": "Limit",
        "default": 20
      },
      "offset": {
        "type": "integer",
        "title": "Offset",
        "default": 0
      },
      "availability": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Availability",
        "default": null
      }
    }
  }

  arguments 28 lines copy
• get_related_products unknown never probed

  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 that pipeline is built.

  mcp-tool

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  {
    "type": "object",
    "title": "get_related_productsArguments",
    "required": [
      "product_id"
    ],
    "properties": {
      "product_id": {
        "type": "string",
        "title": "Product Id"
      }
    }
  }

  arguments 13 lines copy
• get_products_batch unknown never probed

  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.

  mcp-tool

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  {
    "type": "object",
    "title": "get_products_batchArguments",
    "required": [
      "product_ids"
    ],
    "properties": {
      "product_ids": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "title": "Product Ids"
      }
    }
  }

  arguments 16 lines copy
• get_product unknown 6h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "title": "get_productArguments",
    "required": [
      "product_id"
    ],
    "properties": {
      "product_id": {
        "type": "string",
        "title": "Product Id"
      }
    }
  }

  arguments 13 lines copy

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.