MCP Security & Launch Readiness · Python 3
MCP Launch Readiness Audit
A 48-rule security and readiness scanner for MCP servers, with a fix for every finding.
Software catalog · Automation & Agent Reliability
Automation & Agent Reliability
Production-readiness for n8n AI agents: guardrail templates, a failure-simulation eval harness, and a readiness score.
Guardrail templates spend + tool limits Failure simulation eval harness Readiness score ship, or don't ship Sample workflows 2, free on GitHub
Runs on: n8n · Node.js 18+ (eval harness) · Version 1.0.1
The problem
n8n AI agents fail in production in documented, repeatable ways: timeouts, malformed tool output, runaway loops, silent partial failures. Most workflows ship with no guardrails and no way to test failure behavior before users depend on them.
Who it is for
Builders running AI agents in n8n for real work.
Capabilities
10 importable n8n workflow templates covering documented agent failure classes
Node.js failure-simulation eval harness with readiness scoring, run against a model of your agent
37-page production playbook covering the failure classes, the guardrails, and the scoring
Platforms & inputs
| Platforms | n8n · Node.js 18+ (eval harness) |
|---|---|
| Works with | n8n workflows; the eval harness tests a JavaScript model of your agent written from the documented shape |
| Version | 1.0.1 |
| License | Single-seat perpetual, one-time purchase |
Documentation & support
Every purchase includes the product documentation. Support is by email: Support. Product terms are in the Terms and the machine-readable catalog.
Questions
Documented agent failure classes such as timeouts, malformed outputs, and uncontrolled retries, each with a guardrail workflow you can import and adapt.
It runs failure simulations against a JavaScript model of your agent written from its documented shape, and scores production readiness.
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