MCP MeasureMCP Measure

Index beobachtet

Channel3 Shopping

Shopping search across 100M+ products, with every retailer's offer and live price in one place.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
90%
Vollständigkeit des Schemas
89%
Qualität der Benennung
97%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
90%
Einhaltung des Protokolls
100%

Befunde (1)

  • LOWTool 'browse_products' suggests web access but openWorldHint=falsein browse_products

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~2,370Tokens (Tool-Definitionen)
~4.0 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.85% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "shopping": {
      "url": "https://mcp.trychannel3.com/"
    }
  }
}

Remote-Endpunkte

https://mcp.trychannel3.com/streamable-http

Was es kann

Tool-Inventar

Tools (6)

🟢 Nur lesen🟡 Schreiben🔴 Löschen⚪ Unbekannt
🟢search_products(query, image_url, thread_id)

Search 100M+ products across thousands of retailers for one product type. Call once for each distinct product type, and send independent calls together. Put relevant constraints in `query`. Returns up to 8 product cards plus structured product data. The result includes a `thread_id`. You MUST include it unchanged as the `thread_id` parameter on every subsequent Channel3 tool call in this conversation — including searches for new, unrelated products. Never omit it once you have one.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "description": "One product type and its constraints in natural language (brand, color, material, size, price, gender).\nGood: \"red leather jacket under $200\"; \"leather golf glove under $40\".\nBad: \"gift ideas for dad\"; \"cool sneakers\"; \"golf glove or rangefinder\".",
      "type": "string",
      "minLength": 1
    },
    "image_url": {
      "description": "Public image URL for visual search. Combine with `query` for text + image.",
      "type": "string"
    },
    "thread_id": {
      "description": "Conversation thread ID. Omit ONLY on the very first Channel3 call of a conversation. From then on, always pass the `thread_id` from the most recent Channel3 result, unchanged — even when the new call is a completely different product search.",
      "type": "string"
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "description": "The text query this result answers.",
      "type": "string"
    },
    "image_url": {
      "description": "The image URL this result answers.",
      "type": "string"
    },
    "products": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "title": {
            "type": "string"
          },
          "brands": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "id": {
                  "type": "string"
                },
                "name": {
                  "type": "string"
                }
              },
              "required": [
                "id",
                "name"
              ],
              "additionalProperties": {}
            }
          },
          "images": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "url": {
                  "type": "string"
                }
              },
              "required": [
                "url"
              ],
              "additionalProperties": {}
            }
          },
          "offers": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "availability": {
                  "type": "string",
                  "enum": [
                    "InStock",
                    "OutOfStock"
                  ]
                },
                "domain": {
                  "type": "string"
                },
                "price": {
                  "type": "object",
                  "properties": {
                    "currency": {
                      "type": "string"
                    },
                    "price": {
                      "type": "number"
                    },
                    "compare_at_price": {
                      "type": [
                        "number",
                        "null"
                      ]
                    }
                  },
                  "required": [
                    "currency",
                    "price"
                  ],
                  "additionalProperties": false
                },
                "url": {
                  "type": "string"
                }
              },
              "required": [
                "availability",
                "domain",
                "price",
                "url"
              ],
              "additionalProperties": {}
            }
          }
        },
        "required": [
          "id",
          "title"
        ],
        "additionalProperties": {}
      }
    },
    "next_page_token": {
      "description": "Opaque pagination token used by the storefront UI; not usable via this tool.",
      "type": [
        "string",
        "null"
      ]
    },
    "as_of": {
      "type": "string",
      "description": "ISO timestamp of when this result was produced; prices are live as of this moment."
    },
    "session_id": {
      "description": "PostHog MCP session ID for analytics correlation.",
      "type": "string"
    },
    "server_origin": {
      "description": "Origin of this MCP server; the storefront UI posts analytics events here.",
      "type": "string"
    },
    "thread_id": {
      "type": "string",
      "description": "Conversation thread ID. Pass it back unchanged as `thread_id` on every follow-up call in this conversation."
    },
    "seq": {
      "type": "integer",
      "minimum": -9007199254740991,
      "maximum": 9007199254740991
    }
  },
  "required": [
    "products",
    "next_page_token",
    "as_of",
    "thread_id"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}
🟢get_products(product_ids, thread_id)

Get full product data (offers, description, attributes, images) by product ID from a search result, or by retailer URL. Pass several IDs in one call to compare. Use search_products to find products. Returns details in the storefront UI. The result includes a `thread_id`. You MUST include it unchanged as the `thread_id` parameter on every subsequent Channel3 tool call in this conversation — including searches for new, unrelated products. Never omit it once you have one.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "product_ids": {
      "minItems": 1,
      "maxItems": 40,
      "type": "array",
      "items": {
        "type": "string",
        "description": "Product ID (from a `search_products` result) or URL."
      },
      "description": "Products to fetch in parallel."
    },
    "thread_id": {
      "description": "Conversation thread ID. Omit ONLY on the very first Channel3 call of a conversation. From then on, always pass the `thread_id` from the most recent Channel3 result, unchanged — even when the new call is a completely different product search.",
      "type": "string"
    }
  },
  "required": [
    "product_ids"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "products": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "title": {
            "type": "string"
          }
        },
        "required": [
          "id",
          "title"
        ],
        "additionalProperties": {}
      }
    },
    "unresolved": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "as_of": {
      "type": "string",
      "description": "ISO timestamp of when this result was produced; prices are live as of this moment."
    },
    "session_id": {
      "description": "PostHog MCP session ID for analytics correlation.",
      "type": "string"
    },
    "server_origin": {
      "description": "Origin of this MCP server; the storefront UI posts analytics events here.",
      "type": "string"
    },
    "thread_id": {
      "type": "string",
      "description": "Conversation thread ID. Pass it back unchanged as `thread_id` on every follow-up call in this conversation."
    }
  },
  "required": [
    "products",
    "as_of",
    "thread_id"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}
🟢browse_products(query, image_url, page_token, limit, thread_id, ...)

Search and page through products for the storefront UI.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "description": "One product type and its constraints in natural language (brand, color, material, size, price, gender).\nGood: \"red leather jacket under $200\"; \"leather golf glove under $40\".\nBad: \"gift ideas for dad\"; \"cool sneakers\"; \"golf glove or rangefinder\".",
      "type": "string",
      "minLength": 1
    },
    "image_url": {
      "description": "Public image URL for visual search. Combine with `query` for text + image.",
      "type": "string"
    },
    "page_token": {
      "description": "Token from a previous response's next_page_token.",
      "type": "string"
    },
    "limit": {
      "default": 20,
      "type": "integer",
      "minimum": 1,
      "maximum": 30
    },
    "thread_id": {
      "type": "string"
    },
    "device_id": {
      "type": "string"
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "products": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "title": {
            "type": "string"
          }
        },
        "required": [
          "id",
          "title"
        ],
        "additionalProperties": {}
      }
    },
    "next_page_token": {
      "type": [
        "string",
        "null"
      ]
    }
  },
  "required": [
    "products",
    "next_page_token"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}
🟢get_similar(product_id, limit, thread_id, device_id)

Find products similar to a given product, for the storefront UI.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "product_id": {
      "type": "string",
      "description": "Canonical product ID to find similar products for."
    },
    "limit": {
      "default": 20,
      "type": "integer",
      "minimum": 1,
      "maximum": 30
    },
    "thread_id": {
      "type": "string"
    },
    "device_id": {
      "type": "string"
    }
  },
  "required": [
    "product_id"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "products": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "title": {
            "type": "string"
          }
        },
        "required": [
          "id",
          "title"
        ],
        "additionalProperties": {}
      }
    },
    "next_page_token": {
      "type": [
        "string",
        "null"
      ]
    }
  },
  "required": [
    "products",
    "next_page_token"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}
🟢get_details(product_id, selected_options, thread_id, device_id)

Fetch a product with live offers, for the storefront UI.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "product_id": {
      "type": "string",
      "description": "Canonical product ID."
    },
    "selected_options": {
      "description": "Variant configuration as `{ optionName: label }` for re-resolving offers.",
      "type": "object",
      "propertyNames": {
        "type": "string"
      },
      "additionalProperties": {
        "type": "string"
      }
    },
    "thread_id": {
      "type": "string"
    },
    "device_id": {
      "type": "string"
    }
  },
  "required": [
    "product_id"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "product": {
      "type": "object",
      "properties": {
        "id": {
          "type": "string"
        },
        "title": {
          "type": "string"
        }
      },
      "required": [
        "id",
        "title"
      ],
      "additionalProperties": {}
    }
  },
  "required": [
    "product"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}
🟢get_price_history(product_id, selected_options, thread_id, device_id)

Fetch 30-day price history for a product, for the storefront UI.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "product_id": {
      "type": "string",
      "description": "Canonical product ID."
    },
    "selected_options": {
      "description": "Variant configuration as `{ optionName: label }` for re-resolving offers.",
      "type": "object",
      "propertyNames": {
        "type": "string"
      },
      "additionalProperties": {
        "type": "string"
      }
    },
    "thread_id": {
      "type": "string"
    },
    "device_id": {
      "type": "string"
    }
  },
  "required": [
    "product_id"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "canonical_product_id": {
      "type": "string"
    },
    "history": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "currency": {
            "type": "string"
          },
          "price": {
            "type": "number"
          },
          "timestamp": {
            "type": "string"
          }
        },
        "required": [
          "currency",
          "price",
          "timestamp"
        ],
        "additionalProperties": false
      }
    },
    "statistics": {
      "anyOf": [
        {
          "type": "object",
          "properties": {
            "currency": {
              "type": "string"
            },
            "current_price": {
              "type": "number"
            },
            "current_status": {
              "type": "string",
              "enum": [
                "low",
                "typical",
                "high"
              ]
            },
            "max_price": {
              "type": "number"
            },
            "mean": {
              "type": "number"
            },
            "min_price": {
              "type": "number"
            },
            "std_dev": {
              "type": "number"
            }
          },
          "required": [
            "currency",
            "current_price",
            "current_status",
            "max_price",
            "mean",
            "min_price",
            "std_dev"
          ],
          "additionalProperties": false
        },
        {
          "type": "null"
        }
      ]
    }
  },
  "required": [
    "canonical_product_id",
    "history",
    "statistics"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

Community

Diesen Server bewerten

Nachweis

Aktuelle Beobachtungen

verifiziertVersion nicht aufgezeichnet6 Tools
verifiziertVersion nicht aufgezeichnet6 Tools