Signal by StackEnhance

Moved to com.stackenhance/signal: the same server, now published under the StackEnhance domain.

我该使用它吗

质量与安全性

A
描述质量
100%
模式完整度
100%
命名质量
100%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

基于对工具定义和协议合规性的自动分析。

上下文开销

~1,834token 数(工具定义)
~4.6 KB典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 1.43%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "signal": {
      "url": "https://stackenhance.com/api/mcp"
    }
  }
}

远程端点

https://stackenhance.com/api/mcpstreamable-http

它能做什么

工具清单

工具(3)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢get_brand_email_frequency(brand, market, from, to)

How many marketing emails a brand sent in a calendar period, and when, as observed by StackEnhance Signal (ecommerce brands, mostly in Sweden, Norway, Denmark, Finland and Germany). Use for questions like "How many emails did Newport send in August 2026?", "What did Newport send last week?" or "What has X sent recently?". Without a market, a brand tracked in several countries gets one result per market. Resolve relative dates yourself to YYYY-MM-DD: "last week" is the previous Monday–Sunday, "last month" the previous calendar month, "recently" the last 14 days. Dates are the brand's local calendar dates and a period may span up to two years. Returns the count; for periods of up to 31 days also the date of each send; and at most two subject lines, only ones already shown on the brand's public StackEnhance page and sent in the period. Every listed send was captured in full; a send without a quoted subject is listed in sends_with_subject_in_signal because its subject is withheld by that limit, not missing. Counts are de-duplicated marketing sends (welcome, birthday and transactional emails excluded). There is no open, click or revenue data. Full campaigns, other subject lines, offers, products and creative analysis are not available through this tool. Cite each result's details_url as the source and as where the full campaigns are.

输入模式

{
  "type": "object",
  "properties": {
    "brand": {
      "type": "string",
      "minLength": 2,
      "maxLength": 80,
      "description": "Brand name as the user wrote it, e.g. \"Newport\" or \"IKEA\". A domain such as newport.se also works."
    },
    "market": {
      "type": "string",
      "maxLength": 32,
      "description": "Country of one storefront as a two-letter code (SE, NO, DK, FI, DE) or its name (\"Sweden\"). Omit it to get every market the brand is tracked in."
    },
    "from": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "First day of the period, YYYY-MM-DD."
    },
    "to": {
      "type": "string",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "description": "Last day of the period, inclusive, YYYY-MM-DD."
    }
  },
  "required": [
    "brand",
    "from",
    "to"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

输出模式

{
  "type": "object",
  "properties": {
    "results": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "brand": {
            "type": "string"
          },
          "market": {
            "type": [
              "string",
              "null"
            ]
          },
          "period": {
            "type": "string"
          },
          "emails_sent": {
            "type": "integer"
          },
          "send_dates": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "average_per_week": {
            "type": [
              "number",
              "null"
            ]
          },
          "tracked_since": {
            "type": "string"
          },
          "public_subjects": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "subject": {
                  "type": "string"
                },
                "date": {
                  "type": "string"
                }
              },
              "required": [
                "subject",
                "date"
              ],
              "additionalProperties": false
            },
            "maxItems": 2
          },
          "sends_with_subject_in_signal": {
            "type": "object",
            "properties": {
              "count": {
                "type": "integer"
              },
              "dates": {
                "type": "array",
                "items": {
                  "type": "string"
                }
              },
              "note": {
                "type": "string"
              }
            },
            "required": [
              "count",
              "dates",
              "note"
            ],
            "additionalProperties": false
          },
          "details_url": {
            "type": "string"
          },
          "note": {
            "type": "string"
          }
        },
        "required": [
          "brand",
          "market",
          "period",
          "emails_sent",
          "average_per_week",
          "tracked_since",
          "details_url"
        ],
        "additionalProperties": false
      }
    },
    "unavailable": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "brand": {
            "type": "string"
          },
          "market": {
            "type": [
              "string",
              "null"
            ]
          },
          "reason": {
            "type": "string"
          }
        },
        "required": [
          "brand",
          "market",
          "reason"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "results"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_brand_summary(brand, market)

A brand's email-marketing profile as observed by StackEnhance Signal: market, category, the date Signal first observed it, total marketing emails observed, current frequency (average emails per week over the last 90 days) and the date of the latest observed campaign. Use for questions like "How often does Newport email customers?" or "Is IKEA still sending newsletters?". Without a market, a brand tracked in several countries gets one summary per market. Returns aggregates only — no campaign list, subject lines, offers or creative analysis. Cite each result's details_url as the source.

输入模式

{
  "type": "object",
  "properties": {
    "brand": {
      "type": "string",
      "minLength": 2,
      "maxLength": 80,
      "description": "Brand name as the user wrote it, e.g. \"Newport\" or \"IKEA\". A domain such as newport.se also works."
    },
    "market": {
      "type": "string",
      "maxLength": 32,
      "description": "Country of one storefront as a two-letter code (SE, NO, DK, FI, DE) or its name (\"Sweden\"). Omit it to get every market the brand is tracked in."
    }
  },
  "required": [
    "brand"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

输出模式

{
  "type": "object",
  "properties": {
    "results": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "brand": {
            "type": "string"
          },
          "market": {
            "type": [
              "string",
              "null"
            ]
          },
          "category": {
            "type": [
              "string",
              "null"
            ]
          },
          "tracked_since": {
            "type": [
              "string",
              "null"
            ]
          },
          "total_observed_emails": {
            "type": "integer"
          },
          "current_emails_per_week": {
            "type": "number"
          },
          "latest_observed_campaign_date": {
            "type": [
              "string",
              "null"
            ]
          },
          "details_url": {
            "type": "string"
          }
        },
        "required": [
          "brand",
          "market",
          "category",
          "tracked_since",
          "total_observed_emails",
          "current_emails_per_week",
          "latest_observed_campaign_date",
          "details_url"
        ],
        "additionalProperties": false
      }
    },
    "unavailable": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "brand": {
            "type": "string"
          },
          "market": {
            "type": [
              "string",
              "null"
            ]
          },
          "reason": {
            "type": "string"
          }
        },
        "required": [
          "brand",
          "market",
          "reason"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "results"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢find_brands(market, category, limit)

Ecommerce brands StackEnhance Signal tracks in one market, ranked by current email frequency (average marketing emails per week over the last 90 days), optionally within a category such as "Fashion & Apparel" or "Home & Interior". Use for questions like "Which brands email most frequently in Swedish ecommerce?" or to find a brand when the user names a kind of brand ("a Swedish fashion brand"). Rankings are available for SE, NO, DK, FI and DE. Brands with too little observed data are left out of rankings. Returns brand names, categories and emails per week only. Each brand has a details_url to cite.

输入模式

{
  "type": "object",
  "properties": {
    "market": {
      "type": "string",
      "minLength": 2,
      "maxLength": 32,
      "description": "Country as a two-letter code (SE, NO, DK, FI or DE) or its name (\"Sweden\")."
    },
    "category": {
      "type": "string",
      "maxLength": 60,
      "description": "Optional category, e.g. \"Fashion & Apparel\", \"Home & Interior\", \"Beauty & Cosmetics\", \"Sports & Outdoor\"."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 10,
      "description": "How many brands to return (1-10, default 10)."
    }
  },
  "required": [
    "market"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

输出模式

{
  "type": "object",
  "properties": {
    "market": {
      "type": "string"
    },
    "category": {
      "type": [
        "string",
        "null"
      ]
    },
    "window_days": {
      "type": "integer"
    },
    "brands_tracked": {
      "type": "integer"
    },
    "brands": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "brand": {
            "type": "string"
          },
          "category": {
            "type": [
              "string",
              "null"
            ]
          },
          "emails_per_week": {
            "type": "number"
          },
          "details_url": {
            "type": "string"
          }
        },
        "required": [
          "brand",
          "category",
          "emails_per_week",
          "details_url"
        ],
        "additionalProperties": false
      }
    }
  },
  "required": [
    "market",
    "category",
    "window_days",
    "brands_tracked",
    "brands"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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