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AAJ Marketing Engines

io.github.sarojkjha/aaj-engines · v1.2.0

Measured by MCP Station

Description written by the publisher, not verified

Deterministic marketing math for AI agents: LTV:CAC, pipeline coverage, A/B tests, pricing.

Connect

claude mcp add --transport http aaj-engines https://aaj-engines-mcp.sarojkjha10.workers.dev/mcp

{
  "mcpServers": {
    "aaj-engines": {
      "url": "https://aaj-engines-mcp.sarojkjha10.workers.dev/mcp"
    }
  }
}

Tools as reported by the server

• list_engines
  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.
• describe_engine
  Shows one engine's input schema: required fields, units, alternative shapes, and a worked example. Engines reject bad input rather than guessing.
• run_engine
  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.
• search_skills
  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.
• get_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.

Tool changes

• 2026-10-22: list_engines, describe_engine, run_engine, search_skills, get_skill
• 2026-10-21: list_engines, describe_engine, run_engine, search_skills, get_skill

Repository · Website · JSON · Text for agents · Registry updated 2026-10-20