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-mcp-tools-expertgit 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-mcp-tools-expert)<a href="https://agentmods.dev/skills/czlonkowski/n8n-mcp/n8n-mcp-tools-expert"><img src="https://agentmods.dev/badge/skills/czlonkowski/n8n-mcp/n8n-mcp-tools-expert/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-mcp-tools-expert"><img src="https://agentmods.dev/badge/skills/czlonkowski/n8n-mcp/n8n-mcp-tools-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00135 | $0.07926 |
| Opus 5.5 | $0.00054 | $0.03170 |
| Sonnet 5.5 | $0.00027 | $0.01585 |
| Haiku 4.5 | $0.00014 | $0.00793 |
Grade A, and why
n8n-mcp-tools-expert 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
1 near-identical copy found in the catalogue:
- n8n-mcp-tools-expert — 100% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 483 lines — stays where its author put it; the contents beside it link to each section on GitHub.
n8n MCP Tools Expert
Master guide for using n8n-mcp MCP server tools to build workflows.
Tool Categories
n8n-mcp provides tools organized into categories:
- Node Discovery → SEARCH_GUIDE.md
- Configuration Validation → VALIDATION_GUIDE.md
- Workflow Management → WORKFLOW_GUIDE.md
- Template Library - Search and deploy 2,700+ real workflows
- Data Tables - Manage n8n data tables, rows and columns (
n8n_manage_datatable) - Workflow Folders - Folder CRUD + workflow placement (
n8n_manage_folders) - Credential Management - Full credential CRUD + schema discovery (
n8n_manage_credentials) - Security & Audit - Instance security auditing with custom deep scan (
n8n_audit_instance) - Documentation & Guides - Tool docs, AI agent guide, Code node guides
- Agents - Create, configure, validate, run and publish persisted n8n Agents (
n8n_manage_agents, requiresN8N_MCP_ACCESS_TOKEN) - Node Resource Resolution - Resolve live dropdown/resource-locator values with a real credential (
n8n_explore_node_resources, requiresN8N_MCP_ACCESS_TOKEN) - Instance Catalog - List projects and tags (
n8n_list_catalog)
Quick Reference
Most Used Tools (by success rate)
| Tool | Use When | Speed |
|---|---|---|
search_nodes |
Finding nodes by keyword | <20ms |
get_node |
Understanding node operations (detail="standard") | <10ms |
validate_node |
Checking configurations (mode="full") | <100ms |
n8n_create_workflow |
Creating workflows | 100-500ms |
n8n_update_partial_workflow |
Editing workflows (MOST USED!) | 50-200ms |
validate_workflow |
Checking complete workflow | 100-500ms |
n8n_deploy_template |
Deploy template to n8n instance | 200-500ms |
n8n_manage_datatable |
Managing data tables and rows | 50-500ms |
n8n_manage_folders |
Folder CRUD + organizing workflows | 100-500ms |
n8n_manage_credentials |
Credential CRUD + schema discovery | 50-500ms |
n8n_audit_instance |
Security audit (built-in + custom scan) | 500-5000ms |
n8n_autofix_workflow |
Auto-fix validation errors | 200-1500ms |
n8n_manage_agents |
Persisted n8n Agent CRUD/validate/publish | 150-400ms; call action: 5-60s |
n8n_explore_node_resources |
Resolve live loadOptions/listSearch values | 200 ms - 5 s |
n8n_list_catalog |
List projects or tags | 50-300ms |
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 · 483 lines · 135 tokens per session scan A 14836b4d7a9b
n8n-mcp-tools-expert is a skill published in the GitHub repository czlonkowski/n8n-mcp (23,151 stars, last pushed today), licensed MIT. It adds 135 tokens to every session and 7,926 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-30.
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