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AAJ Marketing Engines

io.github.sarojkjha/aaj-engines · v1.2.1

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

Connect Remote server

Terminal
claude mcp add --transport http aaj-engines https://aaj-engines-mcp.sarojkjha10.workers.dev/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "aaj-engines": {
      "url": "https://aaj-engines-mcp.sarojkjha10.workers.dev/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "aaj-engines": {
      "type": "http",
      "url": "https://aaj-engines-mcp.sarojkjha10.workers.dev/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://aaj-engines-mcp.sarojkjha10.workers.dev/mcp

Tools 5 found in our last check

  • 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 confid…

  • 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.

Details

Endpointhttps://aaj-engines-mcp.sarojkjha10.workers.dev/mcp (Streamable HTTP)
First published28 Oct 2026
Last updated28 Oct 2026
Registry nameio.github.sarojkjha/aaj-engines

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