trustrails

endpoint

https://trustrails.app/api/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 trustrails live?

Yes — it answered the hub's last check (checked 25m ago). It answered 98% of checks over the last 30 days.

Is trustrails free to use?

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

What tools does trustrails have?

2 tools: get_product, search_products.

Is trustrails 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 reads open 7h ago

  HOW TO CALL THIS TOOL — read before every call: Decompose the user's request into filters first. Only what's left over goes in query. STEP 1: brand name → brand filter. STEP 2: product category → category filter. STEP 3: price → min_price/max_price. STEP 4: RAM, storage, screen size, resolution, refresh rate, wattage, Wi-Fi generation → constraints. STEP 5: what remains → query. BAD: query='Sony headphones under £200' | GOOD: brand='Sony', category='Headphones', max_price=200, no query. BAD: query='tablet' | GOOD: category='Tablets', no query. BAD: query='macbook neo' | GOOD: brand='Apple', category='Laptops', query='neo'. BAD: query='Samsung QLED TV' | GOOD: brand='Samsung', category='TVs', query='qled'. If brand+category alone cover what the user wants, omit query entirely. Only put differentiating terms in query: model lines (neo, ultra, oled), variants, model numbers (WH-1000XM5, s25 ultra). Query words must appear in the title, except words naming the category ('router' in Networking) and bare numbers or specs ('4070', '16GB'), which are ignored when finding products and only rank them. Put a model number with its prefix ('RTX 4070', not '4070') and check each title for it. Leave out use-case words like gaming, cheap or best. CROSS-CATEGORY NOTE: Gaming headsets → category='Headphones', query='gaming headset'. The Gaming category is consoles/controllers/accessories only. Always set lite=true (it still carries `attributes`). If 0 results, broaden the query or drop filters (but never present a near miss as meeting a requirement). Searches 26,000+ UK electronics products across 7 retailers with price comparison. Prices are in GBP. Every listing is new (refurbished and used are excluded). PRICE COMPARISON: for a final pick with offer_count > 1, get_product returns offers[] (sorted in-stock first, then cheapest): show the cheapest in-stock retailer, the other prices with the difference and the exact saving among in-stock offers. Before claiming a saving, read offers[].title (from get_product): they must name the same model; if they differ, don't claim one. Before recommending any pick, check its title is the product type asked for (not a cable, accessory or adapter). COMPARING SPECS: compare products from the `attributes` in the search results, not by calling get_product on each. Every spec known for a product is there as {status, value}, or {status, values} when conflicting, without sources; names and units are as in `constraints`. 'confirmed' (two or more retailers state the same value) and 'inferred' (one retailer's title states it) are both the product's spec: state the value. Only `conflicting` (retailers disagree: say so, don't pick one) or a missing name (unknown) needs a caveat. A product with no `attributes` has none of these seven specs known: say so only if the user asked about one. Call get_product only for your final 1-3 picks, and only when you need what search lacks: what only the retailer's description has (processor, GPU, ports, weight, battery), or every retailer's offer and buy link (search results carry only the best offer's purchase_url (cheapest in stock)). A pick with offer_count 1 needs no call unless the user asked for a description-only detail. Don't guess those details from titles. SPEC REQUIREMENTS: put exact requirements in `constraints`, not in query, and always set `category` (and brand if known) with `constraints`: a search of only specs is rejected. If a requirement is ambiguous (e.g. '16GB' could be RAM or storage), ask the user or search without that constraint. With constraints, every product has `constraint_status` per name: 'matched' = a retailer's title states a value that meets it. 'unverified' = not known to meet it: check `attributes[name]`, where `conflicting` means retailers disagree and missing means unknown. Never treat 'unverified' as a match or say a product meets a requirement because it was returned: tell the user it is unconfirmed. Products whose stated value fails are left out (`excluded_by_constraints`). Matched results come first, also with sort='price_asc'. With constraints, `total` counts the products that match every constraint and `unverified_total` the unverified products that passed the other filters (only some may be in `products`). If `total` is 0, say no product is known to meet every requirement and offer the unverified ones only as unconfirmed. If `candidates_truncated` is true, the first 2,000 candidates in the chosen sort order were checked and more exist: add a brand or category, or a narrower query, and search again before saying nothing matches. If the search was already narrowed, tell the user the results may be incomplete. STOCK: availability is in_stock, low_stock, out_of_stock or unknown (the retailer gave no stock signal: say so, don't assume). When availability is out_of_stock, mention it as an alternative and suggest checking back — do not silently omit it. purchase_url is a trustrails.app/go/ redirect through an affiliate link; TrustRails may earn a commission, and the price is the same. Colour variants have separate barcodes and are separate products: when price matters, search again without the colour or check other colours of the same model.

  mcp-tool

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  {
    "type": "object",
    "properties": {
      "lite": {
        "type": "boolean",
        "description": "Return trimmed product objects with only essential fields (id, title, brand, price, currency, availability, image_url, purchase_url, offer_count, attributes (every known spec as {status, value}, without sources) and, with constraints, constraint_status). Always set to true; it still carries attributes. Use false only for ean, category, provenance or all sources at once."
      },
      "sort": {
        "type": "string",
        "description": "Sort order: 'relevance' (default), 'price_asc' (in stock first, then cheapest), 'price_desc' (in stock first, then most expensive)."
      },
      "brand": {
        "type": "string",
        "description": "Filter by brand name (exact match, case-insensitive). Examples: Apple, Samsung, Sony, HP, Dell, Lenovo, Anker, Bose, LG"
      },
      "limit": {
        "type": "number",
        "description": "Maximum number of products to return (default 50, max 100)"
      },
      "query": {
        "type": "string",
        "description": "Refinement terms ONLY — model lines, series, variants, model numbers (e.g. 'neo', 'ultra', 'oled', 'WH-1000XM5', 's25 ultra'). NEVER a category name: BAD query='tablet', query='smartwatch', query='laptop'. Set the category filter instead. NEVER a brand name: BAD query='Sony'. Set the brand filter instead. NEVER a price. Omit entirely when browsing a category or brand — 'show me tablets' = category='Tablets', no query."
      },
      "category": {
        "type": "string",
        "description": "Filter by product category. Use ONLY these exact values: Laptops, Desktops, Tablets, Phones, TVs, Monitors, Headphones, Speakers, Cameras, Keyboards, Mice, Printers, Networking, Storage, Gaming, Wearables, Drones, Audio, Cables & Chargers. NOTE: 'Smartphones' is not valid — use 'Phones'. 'Televisions' is not valid — use 'TVs'."
      },
      "max_price": {
        "type": "number",
        "description": "Maximum price in GBP."
      },
      "min_price": {
        "type": "number",
        "description": "Minimum price in GBP."
      },
      "constraints": {
        "type": "object",
        "properties": {
          "power_w": {
            "type": "object",
            "properties": {
              "eq": {
                "type": "number"
              },
              "gte": {
                "type": "number"
              },
              "lte": {
                "type": "number"
              }
            }
          },
          "wifi_gen": {
            "type": "object",
            "properties": {
              "eq": {
                "type": "number"
              },
              "gte": {
                "type": "number"
              },
              "lte": {
                "type": "number"
              }
            }
          },
          "memory_gb": {
            "type": "object",
            "properties": {
              "eq": {
                "type": "number"
              },
              "gte": {
                "type": "number"
              },
              "lte": {
                "type": "number"
              }
            }
          },
          "screen_in": {
            "type": "object",
            "properties": {
              "eq": {
                "type": "number"
              },
              "gte": {
                "type": "number"
              },
              "lte": {
                "type": "number"
              }
            }
          },
          "refresh_hz": {
            "type": "object",
            "properties": {
              "eq": {
                "type": "number"
              },
              "gte": {
                "type": "number"
              },
              "lte": {
                "type": "number"
              }
            }
          },
          "storage_gb": {
            "type": "object",
            "properties": {
              "eq": {
                "type": "number"
              },
              "gte": {
                "type": "number"
              },
              "lte": {
                "type": "number"
              }
            }
          },
          "resolution_p": {
            "type": "object",
            "properties": {
              "eq": {
                "type": "number"
              },
              "gte": {
                "type": "number"
              },
              "lte": {
                "type": "number"
              }
            }
          }
        },
        "description": "Hard spec requirements, checked per product against its attributes. Shape {name: {op: number}} with op eq, gte or lte; a range is {gte, lte}. On every operator, storage matches within 3% and screen size within 0.5 inch; a whole-number screen size N also covers up to N+1 on eq and lte (gte is unchanged); other specs exactly: gte 1024 accepts a 1TB drive, eq 22 a 21.5\" screen, eq 13 a 13.6\" one, lte 15 a 15.6\" one. Example: {\"memory_gb\": {\"gte\": 24}, \"storage_gb\": {\"gte\": 1000}, \"screen_in\": {\"eq\": 15}}. Names and units: memory_gb (RAM, GB), storage_gb (GB, 1TB = 1000), screen_in (inches), resolution_p (pixels high: 4K = 2160, QHD = 1440, Full HD = 1080), refresh_hz (Hz), power_w (W), wifi_gen (Wi-Fi generation: 6, 6E = 6.5, 7). A spec written in query counts only when it says what it is ('24GB RAM', '1TB', '144Hz', '55\"') and means at least, except screen size (that size); a bare '24GB' stays a search word. Explicit constraints win over it. A plain '16GB' or '65W' is gte; use eq only when the user says exactly, and for screen size."
      }
    }
  }

  arguments 141 lines copy
• get_product reads unknown 7h ago

  Get full details for a single product by ID. Returns `attributes`: structured specs read from retailer titles, each name mapping to {status, value, sources}; a conflicting one has values: [{value, sources}] instead of value and sources. Names and units as in the search constraints argument. status: 'confirmed' = two or more retailers state the same value; 'inferred' = one retailer's title states it; 'conflicting' = retailers state different values (none is picked, tell the user they disagree; a retailer can appear under two values, so read offers[].title to see which listing states which); a missing name = unknown. Also returns specs.description, the retailer's own prose: use it only for details attributes do not cover (processor, GPU, ports, weight, battery, features); if it doesn't give a detail, tell the user it isn't listed. It can describe another configuration or a maximum ('up to 32GB'), so it never overrides or fills in an attribute: if an attribute is missing or conflicting, that spec is unknown or unconfirmed, and you may mention what the description says only as 'the retailer's description mentions X, unconfirmed'. It also returns pricing, availability, delivery time, and all retailer offers with per-retailer pricing (offers[].stock is a unit count only when the retailer supplies one, otherwise null). Accepts both canonical product IDs and original retailer offer IDs. Use this after search_products only for your final 1-3 picks, and only when you need what search lacks: details only the description has, or every retailer's offer and buy link. Search results already carry `attributes` to compare specs.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "product_id"
    ],
    "properties": {
      "product_id": {
        "type": "string",
        "description": "The unique product ID from search results"
      }
    }
  }

  arguments 12 lines copy

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