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.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add czlonkowski/n8n-mcp --skill n8n-code-pythongit 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/skills/czlonkowski/n8n-mcp/n8n-code-python)<a href="https://agentmods.dev/skills/czlonkowski/n8n-mcp/n8n-code-python"><img src="https://agentmods.dev/badge/skills/czlonkowski/n8n-mcp/n8n-code-python/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/skills/czlonkowski/n8n-mcp/n8n-code-python"><img src="https://agentmods.dev/badge/skills/czlonkowski/n8n-mcp/n8n-code-python.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 271 Skill instructs the agent to never refuse or to always comply. Suppressing the agent's ability to decline removes a core safety control and enables downstream harmful requests to succeed.Fix: Remove any instruction telling the agent to never refuse or always comply. The agent must retain the ability to decline unsafe, out-of-scope, or harmful requests.
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 | $0.00157 | $0.03967 |
| Opus 5.5 | $0.00063 | $0.01587 |
| Sonnet 5.5 | $0.00031 | $0.00793 |
| Haiku 4.5 | $0.00016 | $0.00397 |
Grade C, and why
n8n-code-python scanned grade C with 2 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.
Tells the agent never to refusehighAnti-refusal
Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.
> **Self-hosted exception**: external package availability depends entirely on the instance's Python runner configuration. If the user states their self-hosted instance has specific packages available in the Python runne Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
6. **Standard library only**: json, datetime, re, base64, hashlib, urllib.parse, math, random, statistics Copies of this mod
8 near-identical copies found in the catalogue:
- n8n-code-python — 100% identical, 0 lines differ
- n8n-code-python — 100% identical, 572 lines differ
- n8n-code-python — 100% identical, 0 lines differ
- n8n-code-python — 100% identical, 0 lines differ
- n8n-code-python — 88% identical, 388 lines differ
- n8n-code-python — 86% identical, 367 lines differ
- n8n-code-python — 86% identical, 337 lines differ
- n8n-code-python — 86% identical, 367 lines differ
How it starts
The opening of the file, as written. The whole thing — 502 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Code Node (Beta)
Expert guidance for writing Python code in n8n Code nodes.
⚠️ Important: JavaScript First
Recommendation: Use JavaScript for 95% of use cases. Only use Python when:
- You need specific Python standard library functions
- You're significantly more comfortable with Python syntax
- You're doing data transformations better suited to Python
Why JavaScript is preferred:
- Full n8n helper functions (
this.helpers.httpRequest, etc.) - Luxon DateTime library for advanced date/time operations
- No external library limitations
- Better n8n documentation and community support
Quick Start
# Basic template for Python Code nodes
items = _input.all()
# Process data
processed = []
for item in items:
processed.append({
"json": {
**item["json"],
"processed": True,
"timestamp": datetime.now().isoformat()
}
})
return processed
Essential Rules
- Consider JavaScript first - Use Python only when necessary
- Access data:
_input.all(),_input.first(), or_input.item - CRITICAL: Must return
[{"json": {...}}]format - CRITICAL: Webhook data is under
_json["body"](not_jsondirectly) - CRITICAL LIMITATION: No external libraries (no requests, pandas, numpy)
- Standard library only: json, datetime, re, base64, hashlib, urllib.parse, math, random, statistics
Mode Selection Guide
Same as JavaScript - choose based on your use case:
Run Once for All Items (Recommended - Default)
Use this mode for: 95% of use cases
- How it works: Code executes once regardless of input count
- Data access:
_input.all()or_itemsarray (Native mode) - Best for: Aggregation, filtering, batch processing, transformations
- Performance: Faster for multiple items (single execution)
# Example: Calculate total from all items
all_items = _input.all()
total = sum(item["json"].get("amount", 0) for item in all_items)
return [{
"json": {
"total": total,
"count": len(all_items),
"average": total / len(all_items) if all_items else 0
}
}]
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 502 lines · 157 tokens per session scan C cae740351f90
n8n-code-python is a skill published in the GitHub repository czlonkowski/n8n-mcp (23,090 stars, last pushed 2d ago), licensed MIT. It adds 157 tokens to every session and 3,967 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it C with 2 findings (tells the agent never to refuse, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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