MCP server

AAJ Marketing Engines

io.github.sarojkjha/aaj-engines

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

5

Token cost

About 685 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.aaj-engines]
url = "https://aaj-engines-mcp.sarojkjha10.workers.dev/mcp"

Gemini CLI

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

Cursor

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

VS Code

{"servers":{"aaj-engines":{"type":"http","url":"https://aaj-engines-mcp.sarojkjha10.workers.dev/mcp"}}}

Antigravity

agy mcp add aaj-engines https://aaj-engines-mcp.sarojkjha10.workers.dev/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"aaj-engines","server_url":"https://aaj-engines-mcp.sarojkjha10.workers.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"aaj-engines","server_url":"https://aaj-engines-mcp.sarojkjha10.workers.dev/mcp"}

Tools

• describe_engine ~98 tokens
  Shows one engine's input schema: required fields, units, alternative shapes, and a worked example. Engines reject bad input rather than guessing.
• get_skill ~90 tokens
  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.
• list_engines ~158 tokens
  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.
• run_engine ~195 tokens
  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 ~144 tokens
  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.

Browse

• GitHub tools
• SEO
• GitHub and code hosting

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