n8n-code-python

A guide to writing Python inside n8n Code nodes, which are workflow steps where you can run custom code. It explains how to read incoming data and return results in n8n's required format.

In plain words
What is it for?
Use it to transform workflow data, access webhook input, use Python's standard library, and write Python for an n8n Code node.
Why use it?
It helps avoid mistakes caused by n8n's Python-specific data access, output rules, and limits. It also clarifies when JavaScript may be a better choice.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/pct-br/n8n-mcp/n8n-code-python
Any agent
npx skills add PCT-BR/n8n-mcp --skill n8n-code-python
Clone the repo
git clone --depth 1 https://github.com/PCT-BR/n8n-mcp

Made for: Claude Code, Codex.

Per session 157 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,967 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00157 $0.03967
Opus 5 $0.00078 $0.01983
Sonnet 5 $0.00031 $0.00793
Haiku 4.5 $0.00016 $0.00397

Measured yesterday against content hash cae740351f90, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 yesterday.

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
Origin

This is a copy

100% identical to n8n-code-python — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

data/skills/n8n-code-python/SKILL.md · 502 lines

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

  1. Consider JavaScript first - Use Python only when necessary
  2. Access data: _input.all(), _input.first(), or _input.item
  3. CRITICAL: Must return [{"json": {...}}] format
  4. CRITICAL: Webhook data is under _json["body"] (not _json directly)
  5. CRITICAL LIMITATION: No external libraries (no requests, pandas, numpy)
  6. 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 _items array (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
    }
}]

Read the full file on GitHub · 502 lines

Files

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.

Changes

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.

  1. yesterday First seen · 502 lines · 157 tokens per session scan C cae740351f90

Subscribe to this mod's changes

n8n-code-python is a skill published in the GitHub repository PCT-BR/n8n-mcp (0 stars, last pushed 15d ago), licensed MIT. It adds 157 tokens to every session and 3,967 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it C with 2 findings (tells the agent never to refuse, makes network calls). It is 100% identical to n8n-code-python, differing in 0 lines, and is treated as a copy.

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