AAJ Marketing Engines
Deterministic marketing math for AI agents: LTV:CAC, pipeline coverage, A/B tests, pricing.
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质量与安全性
基于对工具定义和协议合规性的自动分析。
上下文开销
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": {
"aaj-engines": {
"url": "https://aaj-engines-mcp.sarojkjha10.workers.dev/mcp"
}
}
}远程端点
https://aaj-engines-mcp.sarojkjha10.workers.dev/mcpstreamable-http它能做什么
工具清单
工具（5）
🟢list_engines(category)
Lists every AAJ marketing engine: its id, the question it answers, and its category. Engines cover unit economics, pipeline forecast, budget allocation, retention, A/B significance, SEO/GEO scoring, ad spend and pricing.
输入模式
{
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Optional filter. Words are matched against the engine's category, id and skill title (for example \"pricing\", \"retention\" or \"seo audit\"), then against its summary."
}
},
"additionalProperties": false
}🟢describe_engine(engine)
Shows one engine's input schema: required fields, units, alternative shapes, and a worked example. Engines reject bad input rather than guessing.
输入模式
{
"type": "object",
"properties": {
"engine": {
"type": "string",
"description": "Engine id."
}
},
"required": [
"engine"
],
"additionalProperties": false
}🟢run_engine(engine, input)
Runs an AAJ engine and returns its verdict. Give `input` as an object of the engine's fields. Omit `input` to run the engine's built-in worked example. Engines are deterministic, offline, and validate their input — a wrong unit is reported as an error, not absorbed into a confident answer.
输入模式
{
"type": "object",
"properties": {
"engine": {
"type": "string",
"description": "Engine id."
},
"input": {
"type": [
"object",
"string"
],
"description": "The engine's configuration object. Some engines also accept a named mode as a plain string (for example 'design' or 'readout'). Omit for the demo."
}
},
"required": [
"engine"
],
"additionalProperties": false
}🟢search_skills(query, limit)
Finds AAJ marketing skills by the problem they solve — 'churn is rising', 'we're launching next month', 'not showing up in AI answers'. Returns matching methods and marks which have a runnable engine.
输入模式
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The problem, in plain words."
},
"limit": {
"type": "integer",
"description": "Max results, default 8.",
"minimum": 1,
"maximum": 73
}
},
"required": [
"query"
],
"additionalProperties": false
}🟢get_skill(skill)
Returns the full method for one skill: when to use it, the steps, the quality bar, and how to run its engine if it has one.
输入模式
{
"type": "object",
"properties": {
"skill": {
"type": "string",
"description": "Skill slug."
}
},
"required": [
"skill"
],
"additionalProperties": false
}社区
证据