io.github.sarojkjha/aaj-engines · v1.2.0 · marketing-and-seo
AAJ Marketing Engines is healthy: it completed an MCP handshake in 1646 ms and exposes 5 tools.
Deterministic marketing math for AI agents: LTV:CAC, pipeline coverage, A/B tests, pricing.
Endpoint: https://aaj-engines-mcp.sarojkjha10.workers.dev/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 5 |
| Latency | 1646 ms |
| Last checked (UTC) | 2026-10-20T10:06:08.237Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-20T10:06:08.237Z | Healthy | 1646 |
list_engines | List every AAJ marketing engine that can be run: id, what question it answers, and its category. Call this first when you need to compute something (unit economics, pipeline forecast, budget allocation, retention, A/B significance, SEO/GEO score, ad spend, pricing) rather than estimate it. |
describe_engine | Show one engine's input schema: required fields, units, alternative shapes, and a worked example. Always call this before run_engine unless you already know the schema — the engines reject bad input rather than guessing. |
run_engine | Run an AAJ engine and return its verdict. Pass `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 | Find AAJ marketing skills by the problem they solve — 'churn is rising', 'we're launching next month', 'not showing up in AI answers'. Returns the method to follow, and says which skills have a runnable engine. |
get_skill | Return 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. |