Server definition

Hash: sha256:5f25d236aa0542cb564d0fa3ede6e3af604c350ee0e70d03b93c7149b2b59081
What it is: What a remote MCP server returned when asked what it offers: 3 tools

The blob, as servednamed by its sha256

{
  "instructions": "Turn product reviews into actionable insights for sellers and DTC brands. Use extract_voice_of_customer(reviews) for zero-cost keyword/sentiment/pain-point extraction; analyze_reviews(reviews, product_name) for a deep structured VOC analysis (pain points, feature requests, strengths, urgency); competitive_gap(reviews_a, reviews_b, ...) to find gaps between your product and a competitor. Pass raw review text (one review per line) as input — this server analyzes the reviews you provide; it does not scrape reviews for you.",
  "tools": [
    {
      "description": "深度分析一批评论，输出结构化 VOC 报告：核心痛点、功能诉求、好评点、紧急度、行动建议。\n\n基于 DeepSeek 语义分析，只依据你传入的评论原文，不编造数据；引用评论原话作为证据。\n未配置 DEEPSEEK_API_KEY 时自动降级为本地 extract_voice_of_customer 结果。",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "email": {
            "default": "",
            "type": "string"
          },
          "lang": {
            "default": "zh",
            "description": "输出语言，zh=中文 / en=英文（默认 zh）。",
            "type": "string"
          },
          "license_key": {
            "default": "",
            "type": "string"
          },
          "product_name": {
            "default": "",
            "description": "产品名（可选，用于报告标题）。",
            "type": "string"
          },
          "reviews": {
            "description": "评论原文（每行一条，或用 | 分隔；可传 JSON 数组）。",
            "type": "string"
          }
        },
        "required": [
          "reviews"
        ],
        "type": "object"
      },
      "name": "analyze_reviews",
      "outputSchema": {
        "additionalProperties": true,
        "type": "object"
      }
    },
    {
      "description": "对比两批评论，找出竞对差距：A 有 B 无、B 有 A 无、差异化机会。\n\n典型用法：name_a=你的产品评论、name_b=竞品评论，看竞品被夸但你被骂的点（=你必须补的），\n以及你被夸但竞品被骂的点（=你的卖点）。基于 DeepSeek 语义分析。",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "email": {
            "default": "",
            "type": "string"
          },
          "lang": {
            "default": "zh",
            "description": "输出语言 zh/en。",
            "type": "string"
          },
          "license_key": {
            "default": "",
            "type": "string"
          },
          "name_a": {
            "default": "本产品",
            "description": "产品 A 名称（默认「本产品」）。",
            "type": "string"
          },
          "name_b": {
            "default": "竞品",
            "description": "产品 B 名称（默认「竞品」）。",
            "type": "string"
          },
          "reviews_a": {
            "description": "产品 A 的评论原文（每行一条）。",
            "type": "string"
          },
          "reviews_b": {
            "description": "产品 B 的评论原文（每行一条）。",
            "type": "string"
          }
        },
        "required": [
          "reviews_a",
          "reviews_b"
        ],
        "type": "object"
      },
      "name": "competitive_gap",
      "outputSchema": {
        "additionalProperties": true,
        "type": "object"
      }
    },
    {
      "description": "零成本本地分析一批产品评论：情感占比 + 高频关键词 + 差评痛点句子。\n\n确定性算法（词频 + 中英情感词典），不调用任何外部 API，永远可用、可复现。\n输入是一批评论原文（每行一条，或用 | 分隔），不是评论链接——本工具分析你给的内容。",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "email": {
            "default": "",
            "type": "string"
          },
          "license_key": {
            "default": "",
            "type": "string"
          },
          "reviews": {
            "description": "评论原文。每行一条评论；也可传 JSON 数组（[{\"text\":\"...\"}, ...]）。",
            "type": "string"
          }
        },
        "required": [
          "reviews"
        ],
        "type": "object"
      },
      "name": "extract_voice_of_customer",
      "outputSchema": {
        "additionalProperties": true,
        "type": "object"
      }
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:5f25d236aa0542cb564d0fa3ede6e3af604c350ee0e70d03b93c7149b2b59081 | sha256sum