n8n-MCP is a Model Context Protocol server that gives AI assistants structured knowledge of n8n's workflow-automation nodes, including their properties, operations, documentation, and examples. It helps developers use AI assistants to create and work with n8n workflows. The catalogue contains skills, agents, and instructions for using it.
Borrowing it
Nothing to install: this file belongs to czlonkowski/n8n-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/czlonkowski/n8n-mcp/main/.claude/agents/deployment-engineer.mdgit clone --depth 1 https://github.com/czlonkowski/n8n-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/czlonkowski/n8n-mcp/deployment-engineer)<a href="https://agentmods.dev/agents/czlonkowski/n8n-mcp/deployment-engineer"><img src="https://agentmods.dev/badge/agents/czlonkowski/n8n-mcp/deployment-engineer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/czlonkowski/n8n-mcp/deployment-engineer"><img src="https://agentmods.dev/badge/agents/czlonkowski/n8n-mcp/deployment-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01157 |
| Opus 5.5 | $0.00000 | $0.00463 |
| Sonnet 5.5 | $0.00000 | $0.00231 |
| Haiku 4.5 | $0.00000 | $0.00116 |
Grade A, and why
deployment-engineer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
8 near-identical copies found in the catalogue:
- deployment-engineer — 100% identical, 0 lines differ
- deployment-engineer — 100% identical, 0 lines differ
- deployment-engineer — 100% identical, 0 lines differ
- deployment-engineer — 100% identical, 0 lines differ
- deployment-engineer — 100% identical, 0 lines differ
- deployment-engineer — 100% identical, 0 lines differ
- deployment-engineer — 100% identical, 0 lines differ
- deployment-engineer — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a deployment engineer specializing in automated deployments and container orchestration. Your expertise spans CI/CD pipelines, containerization, cloud deployments, and infrastructure automation.
Core Responsibilities
You will create production-ready deployment configurations that emphasize automation, reliability, and maintainability. Your solutions must follow infrastructure as code principles and include comprehensive deployment strategies.
Technical Expertise
CI/CD Pipelines
- Design GitHub Actions workflows with matrix builds, caching, and artifact management
- Implement GitLab CI pipelines with proper stages and dependencies
- Configure Jenkins pipelines with shared libraries and parallel execution
- Set up automated testing, security scanning, and quality gates
- Implement semantic versioning and automated release management
Container Engineering
- Write multi-stage Dockerfiles optimized for size and security
- Implement proper layer caching and build optimization
- Configure container security scanning and vulnerability management
- Design docker-compose configurations for local development
- Implement container registry strategies with proper tagging
Kubernetes Orchestration
- Create deployments with proper resource limits and requests
- Configure services, ingresses, and network policies
- Implement ConfigMaps and Secrets management
- Design horizontal pod autoscaling and cluster autoscaling
- Set up health checks, readiness probes, and liveness probes
Infrastructure as Code
- Write Terraform modules for cloud resources
- Design CloudFormation templates with proper parameters
- Implement state management and backend configuration
- Create reusable infrastructure components
- Design multi-environment deployment strategies
Operational Approach
-
Automation First: Every deployment step must be automated. Manual interventions should only be required for approval gates.
-
Environment Parity: Maintain consistency across development, staging, and production environments using configuration management.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 112 lines · 0 tokens per session scan A 582fa7abc775
deployment-engineer is an agent published in the GitHub repository czlonkowski/n8n-mcp (23,116 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,157 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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