MCP MeasureMCP Measure

索引已观测

AgencyAI Commerce MCP

AgencyAI's public MCP for service discovery and AI-readiness assessment.

我该使用它吗

质量与安全性

A
描述质量
100%
模式完整度
93%
命名质量
93%
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

~466token 数（工具定义）
~1.5 KB典型响应大小
对注意力的影响极小（占 128k 上下文窗口的 0.36%）

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": {
    "agencyai-mcp": {
      "url": "https://agencyai-mcp.vercel.app/mcp"
    }
  }
}

远程端点

https://agencyai-mcp.vercel.app/mcpstreamable-http

它能做什么

工具清单

工具（3）

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢get_service_offerings(industry, company_size, pain_points)

Read AgencyAI's current AI operations service catalog and return packages matching a client profile.

输入模式

{
  "type": "object",
  "properties": {
    "industry": {
      "type": "string",
      "description": "Client industry"
    },
    "company_size": {
      "type": "integer",
      "exclusiveMinimum": 0,
      "description": "Number of employees"
    },
    "pain_points": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Current operational pain points"
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢assess_ai_readiness(industry, employee_count, current_tools, pain_points)

Produce a deterministic, indicative AI-readiness assessment from the supplied organization profile.

输入模式

{
  "type": "object",
  "properties": {
    "industry": {
      "type": "string",
      "minLength": 1,
      "description": "Client industry"
    },
    "employee_count": {
      "type": "integer",
      "exclusiveMinimum": 0,
      "description": "Number of employees"
    },
    "current_tools": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Current business tools"
    },
    "pain_points": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Current operational pain points"
    }
  },
  "required": [
    "industry",
    "employee_count"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡book_consultation(service_package, contact_name, contact_email, company_name, preferred_times, ...)

Submit a consultation request preview. This legacy flow does not send email, create calendar events, or guarantee a booking.

输入模式

{
  "type": "object",
  "properties": {
    "service_package": {
      "type": "string",
      "minLength": 1,
      "description": "Relevant AgencyAI service package"
    },
    "contact_name": {
      "type": "string",
      "minLength": 1,
      "description": "Contact name"
    },
    "contact_email": {
      "type": "string",
      "format": "email",
      "description": "Contact email"
    },
    "company_name": {
      "type": "string"
    },
    "preferred_times": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "industry": {
      "type": "string"
    },
    "employee_count": {
      "type": "integer",
      "exclusiveMinimum": 0
    }
  },
  "required": [
    "service_package",
    "contact_name",
    "contact_email"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

社区

评价此服务器

证据

最近观测

已验证未记录版本3 个工具
已验证未记录版本3 个工具
已验证未记录版本3 个工具