n8n-mcp-server: Instructions file for Gemini CLI

GEMINI.md

n8n-mcp-server GEMINI.md is an instructions file for Gemini CLI from MrBozkay/n8n-mcp-server. It costs 831 tokens per session, scanned A, original, MIT.

Project instructions for Gemini CLI in an n8n MCP server codebase. n8n is a workflow-automation platform, and MCP is a way for AI assistants to call tools provided by another program.

In plain words
What is it for?
Use them when working on the Python server that lets AI assistants manage n8n workflows, including creating, searching, updating, deleting, and activating workflows.
Why use it?
They give an AI assistant the project's overview, technologies, file layout, prerequisites, and operating instructions in one place.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md. Also seen: mentions Gemini CLI.

This is MrBozkay/n8n-mcp-server's own configuration. It tells Gemini CLI how to work on n8n-mcp-server itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything n8n-mcp-server configures →

Reuse

Borrowing it

Nothing to install: this file belongs to MrBozkay/n8n-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/MrBozkay/n8n-mcp-server/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/MrBozkay/n8n-mcp-server

Made for: Gemini CLI.

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Per session 831 This file is loaded in full into every session.
When invoked 831 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found 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 5.1 $0.00831 $0.00831
Opus 5 $0.00415 $0.00415
Sonnet 5 $0.00166 $0.00166
Haiku 4.5 $0.00083 $0.00083

Measured 9d ago against content hash 13ce2009e4e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

n8n-mcp-server GEMINI.md 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 9d 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.

GEMINI.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GEMINI.md

Project Overview

This project is a Python-based server that implements the Model Context Protocol (MCP) to manage n8n workflows. It allows AI assistants to interact with n8n programmatically, enabling them to create, list, search, update, delete, activate, and deactivate workflows.

The server is built using the following main technologies:

  • Python 3.8+: The core programming language.
  • MCP (Model Context Protocol): The server implements the mcp library to communicate with AI assistants.
  • httpx: An asynchronous HTTP client used to interact with the n8n API.
  • Pydantic: Used for data validation and settings management.
  • structlog: For structured logging.

The project is structured as follows:

  • src/n8n_mcp/: Contains the main source code.
    • server.py: The main MCP server implementation, which defines the available tools and handles tool calls.
    • client.py: The n8n API client, which handles all communication with the n8n instance.
    • config.py: The configuration management module, which uses Pydantic to load and validate settings from a file or environment variables.
    • logging_config.py: The logging configuration module.
  • tests/: Contains the tests for the project.
  • config/: Contains the configuration files.
  • requirements.txt: The list of Python dependencies.

Building and Running

Prerequisites

  • Python 3.8+
  • An n8n instance (cloud or self-hosted) with an API key.

Installation

  1. Clone the repository:
    git clone https://github.com/yourusername/n8n-mcp-server.git
    cd n8n-mcp-server
    
  2. Create and activate a virtual environment:
    python -m venv venv
    source venv/bin/activate
    
  3. Install the dependencies:
    pip install -r requirements.txt
    

Configuration

  1. Copy the example configuration file:
    cp config/config.example.json config/config.json
    
  2. Edit config/config.json with your n8n instance details (base URL and API key).

Read the full file on GitHub · 89 lines

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. 9d ago First seen · 89 lines · 831 tokens per session scan A 13ce2009e4e0

Subscribe to this mod's changes

n8n-mcp-server GEMINI.md is an instructions file published in the GitHub repository MrBozkay/n8n-mcp-server (0 stars, last pushed 10mo ago), licensed MIT. It adds 831 tokens to every session, about $0.0042 per session on Opus 5. 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 2026-08-31.

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