DeepRecall - Product Safety Intelligence

Search 120,000+ recalled products from 8 global safety agencies using AI similarity.

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品質與安全性

B
說明品質
100%
結構描述完整度
44%
命名品質
100%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~735Token(工具定義)
~1.2 KB典型回應大小
中等的注意力影響(128k 上下文的 0.57%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "deeprecall-mcp": {
      "url": "https://mcp.deeprecall.io/mcp"
    }
  }
}

遠端端點

https://mcp.deeprecall.io/mcpstreamable-http

它能做什麼

工具清單

工具(2)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🔴search_recalls(content_description, image_urls, filter_by_data_sources, top_k, model_name, ...)

Search for recalled products similar to your query. This tool searches DeepRecall's global product safety database using AI-powered multimodal matching. Provide a text description and/or product images to find similar recalled products. Use Cases: - Pre-purchase safety checks: Before buying, verify if similar products were recalled - Supplier vetting: Check if a supplier's products have safety issues - Marketplace compliance: Verify products against recall databases - Consumer protection: Identify potentially hazardous products Data Sources: - us_cpsc: US Consumer Product Safety Commission - us_fda: US Food and Drug Administration - safety_gate: EU Safety Gate (Europe) - uk_opss: UK Office for Product Safety & Standards - canada_recalls: Health Canada Recalls - oecd: OECD GlobalRecalls portal - rappel_conso: French Consumer Recalls - accc_recalls: Australian Competition and Consumer Commission Cost: 1 API credit per search Args: content_description: Text description of the product (e.g., "children's toy with small parts") image_urls: List of product image URLs for visual matching (1-10 images) filter_by_data_sources: Limit search to specific agencies (optional) top_k: Number of results (1-100, default: 10) model_name: Fusion model - fuse_max (recommended), fuse_flex, or fuse input_weights: Weights for [text, images], must sum to 1.0 api_key: Your DeepRecall API key (optional if provided via X-API-Key header) Returns: Search results with matched recalls, scores, and product details Example: search_recalls( content_description="baby crib with drop-side rails", top_k=5 )

輸入結構描述

{
  "type": "object",
  "properties": {
    "content_description": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Content Description"
    },
    "image_urls": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Image Urls"
    },
    "filter_by_data_sources": {
      "anyOf": [
        {
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Filter By Data Sources"
    },
    "top_k": {
      "default": 10,
      "title": "Top K",
      "type": "integer"
    },
    "model_name": {
      "default": "fuse_max",
      "title": "Model Name",
      "type": "string"
    },
    "input_weights": {
      "default": [
        0.5,
        0.5
      ],
      "items": {
        "type": "number"
      },
      "title": "Input Weights",
      "type": "array"
    },
    "api_key": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Api Key"
    }
  },
  "title": "search_recallsArguments"
}
🟢get_data_sources

Get information about available recall data sources. Returns a list of all supported regulatory agencies and their coverage. This is a free call that does not consume API credits. Returns: Dictionary with data sources and their descriptions

輸入結構描述

{
  "type": "object",
  "properties": {},
  "title": "get_data_sourcesArguments"
}

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