io.github.sarojkjha/aaj-engines
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Publisher-provided title
AAJ Marketing Engines
Publisher-provided description
Deterministic marketing math for AI agents: LTV:CAC, pipeline coverage, A/B tests, pricing.
Summary by lookupd
Runs deterministic marketing calculations like LTV:CAC, pipeline coverage and A/B tests, and returns verdicts plus step-by-step methods.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http aaj-engines https://aaj-engines-mcp.sarojkjha10.workers.dev/mcp
Codex, remote (streamable-http)
codex mcp add aaj-engines --url https://aaj-engines-mcp.sarojkjha10.workers.dev/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"aaj-engines": {
"url": "https://aaj-engines-mcp.sarojkjha10.workers.dev/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (5 tools)
Publisher-provided text
list_enginesLists every AAJ marketing engine: its id, the question it answers, and its category. Engines cover unit economics, pipeline forecast, budget allocation, retentidescribe_engineShows one engine's input schema: required fields, units, alternative shapes, and a worked example. Engines reject bad input rather than guessing.run_engineRuns 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. Enginessearch_skillsFinds AAJ marketing skills by the problem they solve — 'churn is rising', 'we're launching next month', 'not showing up in AI answers'. Returns matching methodsget_skillReturns 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
- Version: 1.2.1
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 218 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/sarojkjha/aaj-marketing-skills
- Website: https://skills.aajconsult.com
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