Agents Onboarding
fazer-ai/agents
Conduz a jornada de onboarding 'do zero ao agente de atendimento' do fazer.ai agents num VPS, escolhendo o orquestrador de deploy (Tier A Coolify, B Portainer, C compose genérico para VM crua ou…
Guides the agent in choosing and calling n8n-mcp tools: finding nodes, validating configurations, deploying templates, managing workflows, folders and credentials, and auditing an instance.
$ npx skills add czlonkowski/n8n-skills --skill n8n-mcp-tools-expert -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install czlonkowski/n8n-skills n8n-mcp-tools-expert --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/czlonkowski/n8n-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/n8n-mcp-tools-expert .claude/skills/n8n-mcp-tools-expert && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "n8n-mcp-tools-expert" agent skill from https://github.com/czlonkowski/n8n-skills/tree/main/skills/n8n-mcp-tools-expert into .claude/skills/n8n-mcp-tools-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "n8n-mcp-tools-expert", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/czlonkowski/n8n-skills/tree/main/skills/n8n-mcp-tools-expertType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add czlonkowski/n8n-skills --skill n8n-mcp-tools-expert -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install czlonkowski/n8n-skills n8n-mcp-tools-expert --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/czlonkowski/n8n-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/n8n-mcp-tools-expert .agents/skills/n8n-mcp-tools-expert && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "n8n-mcp-tools-expert" agent skill from https://github.com/czlonkowski/n8n-skills/tree/main/skills/n8n-mcp-tools-expert into .agents/skills/n8n-mcp-tools-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "n8n-mcp-tools-expert", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add czlonkowski/n8n-skills --skill n8n-mcp-tools-expert -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install czlonkowski/n8n-skills n8n-mcp-tools-expert --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/czlonkowski/n8n-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/n8n-mcp-tools-expert .cursor/skills/n8n-mcp-tools-expert && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "n8n-mcp-tools-expert" agent skill from https://github.com/czlonkowski/n8n-skills/tree/main/skills/n8n-mcp-tools-expert into .cursor/skills/n8n-mcp-tools-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "n8n-mcp-tools-expert", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/czlonkowski/n8n-skills.git --path skills/n8n-mcp-tools-expert--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add czlonkowski/n8n-skills --skill n8n-mcp-tools-expert -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install czlonkowski/n8n-skills n8n-mcp-tools-expert --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/czlonkowski/n8n-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/n8n-mcp-tools-expert .gemini/skills/n8n-mcp-tools-expert && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "n8n-mcp-tools-expert" agent skill from https://github.com/czlonkowski/n8n-skills/tree/main/skills/n8n-mcp-tools-expert into .gemini/skills/n8n-mcp-tools-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "n8n-mcp-tools-expert", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install czlonkowski/n8n-skills n8n-mcp-tools-expertInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add czlonkowski/n8n-skills --skill n8n-mcp-tools-expert -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/czlonkowski/n8n-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/n8n-mcp-tools-expert .github/skills/n8n-mcp-tools-expert && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "n8n-mcp-tools-expert" agent skill from https://github.com/czlonkowski/n8n-skills/tree/main/skills/n8n-mcp-tools-expert into .github/skills/n8n-mcp-tools-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "n8n-mcp-tools-expert", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add czlonkowski/n8n-skills --skill n8n-mcp-tools-expert -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install czlonkowski/n8n-skills n8n-mcp-tools-expert --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/czlonkowski/n8n-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/n8n-mcp-tools-expert .opencode/skills/n8n-mcp-tools-expert && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "n8n-mcp-tools-expert" agent skill from https://github.com/czlonkowski/n8n-skills/tree/main/skills/n8n-mcp-tools-expert into .opencode/skills/n8n-mcp-tools-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "n8n-mcp-tools-expert", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
n8n-mcp-tools-expertGuides the agent in choosing and calling n8n-mcp tools: finding nodes, validating configurations, deploying templates, managing workflows, folders and credentials, and auditing an instance.
The skill is a guide to the tools of the n8n-mcp server, grouped into twelve categories: node discovery, configuration validation, workflow management, a template library of 2,700+ workflows, data tables, workflow folders, credential management, security audit, documentation, persisted n8n Agents, node resource resolution and an instance catalog.
A quick reference table pairs each tool with its use, for example search_nodes to find nodes by keyword, get_node to understand a node's operations, validate_node and validate_workflow to check configuration, n8n_create_workflow and n8n_update_partial_workflow to build and edit, and n8n_deploy_template to push a template to an instance. Separate guides cover search, validation, workflows and operations. The agent is meant to read it before any n8n-mcp call to avoid wrong nodeType formats and parameter structures, and the agent and node-resource tools need an N8N_MCP_ACCESS_TOKEN.
12 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit cb6caa7. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
N8N_MCP_ACCESS_TOKENN8N_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
n8n MCP Tools Expert loads about 7.6k tokens when it runs. Until then it costs about 166 tokens; SKILL.md has 3,097 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from czlonkowski/n8n-skills at commit cb6caa7, republished under its MIT licence (© czlonkowski). 3,097 words, ~7,572 tokens.
.claude/skills/n8n-mcp-tools-expert/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Master guide for using n8n-mcp MCP server tools to build workflows.
n8n-mcp provides tools organized into categories:
n8n_manage_datatable)n8n_manage_folders)n8n_manage_credentials)n8n_audit_instance)n8n_manage_agents, requires N8N_MCP_ACCESS_TOKEN)n8n_explore_node_resources, requires N8N_MCP_ACCESS_TOKEN)n8n_list_catalog)| 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 |
Workflow:
1. search_nodes({query: "keyword"})
2. get_node({nodeType: "nodes-base.name"})
3. [Optional] get_node({nodeType: "nodes-base.name", mode: "docs"})Example:
// Step 1: Search
search_nodes({query: "slack"})
// Returns: nodes-base.slack
// Step 2: Get details
get_node({nodeType: "nodes-base.slack"})
// Returns: operations, properties, examples (standard detail)
// Step 3: Get readable documentation
get_node({nodeType: "nodes-base.slack", mode: "docs"})
// Returns: markdown documentationCommon pattern: search → get_node (18s average)
Workflow:
1. validate_node({nodeType, config: {}, mode: "minimal"}) - Check required fields
2. validate_node({nodeType, config, profile: "runtime"}) - Full validation
3. [Repeat] Fix errors, validate againCommon pattern: validate → fix → validate (23s thinking, 58s fixing per cycle)
Workflow:
1. n8n_create_workflow({name, nodes, connections})
2. n8n_validate_workflow({id})
3. n8n_update_partial_workflow({id, operations: [...]})
4. n8n_validate_workflow({id}) again
5. n8n_update_partial_workflow({id, operations: [{type: "activateWorkflow"}]})Common pattern: iterative updates (56s average between edits)
Three structural mistakes in generated node JSON break the n8n UI even when the workflow validates:
credentials block with a placeholder ID. A fake ID like "id": "REPLACE_ME" renders the credential selector permanently disabled and non-clickable in the n8n UI ("No credentials yet") — the user has to recreate the node from scratch. If you don't know the real credential ID, omit the credentials block entirely; an absent block shows a normal empty dropdown the user can click. Use n8n_manage_credentials({action: "list"}) to discover real credential IDs first.// ❌ Breaks the credential selector
"credentials": {"httpHeaderAuth": {"id": "REPLACE_ME", "name": "My API Key"}}
// ✅ Unknown ID → omit credentials block; user picks in UI
// ✅ Known ID (from n8n_manage_credentials list) → use the real IDGenerate UUID v4 values for node id — not human-readable strings like "http-list-node". n8n's frontend uses node IDs for form binding and credential component initialization; non-UUID IDs cause subtle UI breakage.
Use the current typeVersion for each node — check get_node rather than hardcoding remembered versions (e.g. httpRequest is at 4.4+, not 4.2).
Two different formats for different tools!
// Use SHORT prefix
"nodes-base.slack"
"nodes-base.httpRequest"
"nodes-base.webhook"
"nodes-langchain.agent"Tools that use this:
// Use FULL prefix
"n8n-nodes-base.slack"
"n8n-nodes-base.httpRequest"
"n8n-nodes-base.webhook"
"@n8n/n8n-nodes-langchain.agent"Tools that use this:
// search_nodes returns BOTH formats
{
"nodeType": "nodes-base.slack", // For search/validate tools
"workflowNodeType": "n8n-nodes-base.slack" // For workflow tools
}Eight recurring mistakes. Two are worth showing in full because they silently corrupt structure:
// nodeType prefix (search/validate tools want the SHORT form)
get_node({nodeType: "slack"}) // ❌ missing prefix → "Node not found"
get_node({nodeType: "n8n-nodes-base.slack"}) // ❌ FULL prefix is for workflow tools
get_node({nodeType: "nodes-base.slack"}) // ✅
// credentials must be nested by type with {id, name} — not a flat string
updates: {credentials: "myApiKey"} // ❌
updates: {credentials: {httpHeaderAuth: {id: "abc123", name: "My API Key"}}} // ✅| # | Mistake | Fix |
|---|---|---|
| 1 | Wrong nodeType format | SHORT nodes-base.* for search/validate; FULL n8n-nodes-base.* for workflow tools (see above) |
| 2 | detail: "full" by default | Default standard covers 95%; reach for docs/search_properties instead of full |
| 3 | No validation profile | Pass profile: "runtime" explicitly (minimal/ai-friendly/strict for other stages) |
| 4 | Ignoring auto-sanitization | ALL nodes sanitized on ANY update (operator structures, IF/Switch metadata); it can't fix broken connections or branch-count mismatches |
| 5 | Not using smart parameters | Use branch: "true" / case: 0 instead of fragile sourceIndex math |
| 6 | Omitting intent | Always include intent on n8n_update_partial_workflow for better responses |
| 7 | parameters instead of updates | updateNode takes updates: {...}, not parameters: {...} |
| 8 | Wrong credential format | Nest by type with {id, name} (see above) |
Full WRONG/CORRECT examples for each: see VALIDATION_GUIDE.md → Common Mistakes.
Three patterns dominate real usage. Worked, step-by-step examples for each live in the reference guides.
search_nodes({query}) → get_node({nodeType, includeExamples: true}). See SEARCH_GUIDE.md.validate_node({profile: "runtime"}) → read errors → fix config → validate again until clean. See VALIDATION_GUIDE.md.n8n_update_partial_workflow (with intent) → n8n_validate_workflow → finally activateWorkflow. Build iteratively, NOT one-shot. See WORKFLOW_GUIDE.md.See SEARCH_GUIDE.md for:
See VALIDATION_GUIDE.md for:
See WORKFLOW_GUIDE.md for:
See OPERATIONS_GUIDE.md for:
The 2,700+ template library has three tools: search_templates (modes query/by_nodes/by_task/by_metadata), get_template (modes structure/full), and n8n_deploy_template (deploys to your instance with autoFix/autoUpgradeVersions, returns workflow ID + required credentials + fixes applied).
See OPERATIONS_GUIDE.md for full search/get/deploy examples.
n8n_test_workflow has one required parameter (workflowId) and a method that picks the path:
method | Backend | What it does |
|---|---|---|
auto (default) | Public API | Detects a webhook/form/chat trigger and fires it over HTTP — the workflow must be active. No such trigger → it reports that the workflow cannot be triggered and names the methods below. auto never runs anything through n8n's MCP server. |
trigger | Public API | Same HTTP path, requested explicitly. |
prepare | n8n's MCP server | Read-only: lists the nodes that need pinned data. |
pinned | n8n's MCP server | Runs the workflow with pinData standing in for trigger, credentialed and HTTP Request nodes, and waits. Every other node still runs. A run that finishes in error/crashed/canceled comes back as EXECUTION_FAILED with the executionId. |
direct | n8n's MCP server | Starts a run and returns once it has started; nothing is pinned, so every node runs. message or data/headers are forwarded to the trigger as input. |
N8N_MCP_ACCESS_TOKEN (n8n 2.34+) and the workflow's "Available in MCP" setting.pinData is keyed by node name, and every value is an array of items wrapped as {"json": {...}} — {"Webhook": [{"json": {"id": "123"}}]}, never a flat object. It must be non-empty.triggerNodeName picks the trigger node to start from (defaults to the detected one; n8n requires it whenever inputs are given).direct runs every node; pinned pins only trigger nodes, nodes with credentials and HTTP Request nodes, so Code, Set, If and credential-free I/O (Execute Command, file read/write) still run. Confirm with the user before running a workflow that writes anywhere.executionMode applies to direct: manual (default) or production. It changes the execution context, not whether the run has side effects — a production run goes through the production execution path and is recorded as one. Only pass it when the user asked for one.timeoutMs is the client deadline for the official call (5000-600000; default 30000 for prepare, 300000 for pinned/direct).direct returns as soon as the run starts, so it reports success with an executionId regardless of how the run ends — poll n8n_executions({action: "get", id: executionId}) for the outcome. A dispatch n8n refuses outright comes back as OFFICIAL_MCP_ERROR, not EXECUTION_FAILED.WORKFLOW_NOT_EXPOSED; exposeToMcp: true turns the setting on and retries once. That is a visible, persistent change — ask the user first, and note that enabling it is itself a workflow update, so it can overwrite a concurrent UI edit.Successful and routed responses state method and backend (public-api or official-mcp); an envelope rejected on argument validation may carry neither.
See WORKFLOW_GUIDE.md for runnable examples of each method.
n8n_workflow_versions reads two independent histories, selected with source:
source: "local" (default) — the snapshots n8n-mcp takes before it changes a workflow. Any n8n version, no token, ids are numbers. Blind to edits made in the n8n UI. The only source that supports delete and prune.source: "native" — n8n's own workflow history, the same list the UI shows, including edits made by people. Needs N8N_MCP_ACCESS_TOKEN (n8n 2.34+; the native diff needs 2.36, where get_workflow_versions_diff shipped) and the workflow's "Available in MCP" setting; ids are opaque strings; list is capped at 50 with an offset; delete and prune are refused with MODE_NOT_SUPPORTED_FOR_SOURCE (n8n owns that retention). Native rollback is not pre-validated — validateBefore is accepted and ignored.mode: "diff" compares two versions (versionId + toVersionId, both from the same source and workflow). A local diff (data.format: "n8n-mcp") reports added/removed/modified nodes as node IDs; a native diff (data.format: "n8n") is n8n's own payload with field-level before/after values. Branch on data.format rather than assuming field names.
Native modes hit the same consent gate as the routed run methods: a workflow whose "Available in MCP" setting is off answers WORKFLOW_NOT_EXPOSED, and re-running with exposeToMcp: true turns that setting on and retries once (the response then carries exposedToMcp: true). It is a visible, persistent change to the workflow — ask the user before passing it. timeoutMs (5000-600000) is the client deadline for the native call.
See WORKFLOW_GUIDE.md for every mode with runnable examples of both sources.
n8n_manage_datatable is the MCP tool for managing data tables and rows from outside a workflow (table actions createTable/listTables/getTable/updateTable/deleteTable; row actions getRows/insertRows/updateRows/upsertRows/deleteRows, with filtering, pagination, and dryRun). Don't confuse it with the in-workflow nodes-base.dataTable node, which reads/writes rows during execution (see n8n-node-configuration → OPERATION_PATTERNS.md). Rule of thumb: MCP tool to set up a table once, workflow node to read/write on every execution. deleteRows requires a filter; use dryRun: true before bulk changes.
Column actions — addColumn, deleteColumn, renameColumn — change an existing table's columns, which the Public API cannot do; they run through n8n's MCP server and need N8N_MCP_ACCESS_TOKEN (n8n 2.34+). addColumn takes column: {name, type} (name starts with a letter, letters/digits/underscores only, at most 63 chars; type is string, number, boolean or date); deleteColumn/renameColumn take the columnId from getTable, and renameColumn puts the new column name in name. They address the table by project: projectId is resolved automatically when exactly one project is accessible, otherwise the call returns PROJECT_REQUIRED and lists the candidates — pass projectId (from n8n_list_catalog({kind: "projects"})) to skip resolution. Renaming the table is not a column action: use updateTable on the Public API.
deleteColumn drops the column's values along with the column, and there is no undo. That bites hardest where you'd least expect it: a column's type cannot be changed after creation, so "make this column a number" really means drop-and-re-add, which throws away everything in it. Read the values out with getRows first if they matter, and confirm with the user before dropping a populated column.
See OPERATIONS_GUIDE.md for all actions, filter conditions, and examples.
n8n_manage_folders organizes workflows into folders (actions create/list/get/rename/move/delete; n8n 2.19+, registered free Community tier and up). projectId defaults to 'personal'. Placing workflows happens in the workflow tools: parentFolderId on n8n_create_workflow, or the moveToFolder operation of n8n_update_partial_workflow (both n8n 2.32+; null = project root). Two things to internalize: a workflow's folder is write-only in n8n's API (verify placement via a folder's get counts, never by reading the workflow), and delete without transferToFolderId archives the folder's workflows (transferToFolderId: "0" moves them to the project root instead, keeping them active).
See WORKFLOW_GUIDE.md for all actions, list filters/counts, and the delete semantics.
n8n_manage_credentials is the unified credential tool: actions list, get, create, update, delete, getSchema. It never returns secrets — get/create/update strip the data field. Use getSchema before create to discover required fields. The optional includeUsage: true flag (on list/get) reverse-scans workflows and attaches usedIn: [{id, name, active}] + usageCount — use it before deleting or rotating a credential to see what breaks (it triggers a full client-side scan, caps at 5000 workflows, excludes archived, and degrades to a usageScanError field on failure).
See WORKFLOW_GUIDE.md for all actions, the includeUsage shape, security notes, and the safe delete/rotate workflow.
The three tools in this section exist only for n8n's instance-level MCP server (a separate endpoint from the Public API). n8n_manage_agents and n8n_explore_node_resources need N8N_MCP_ACCESS_TOKEN; n8n_list_catalog works without it and uses the token only for its team-project fallback. Other tools route individual operations through the same server — n8n_test_workflow prepare/pinned/direct, n8n_workflow_versions source: "native", the n8n_manage_datatable column actions — as described in their own sections; see "Tool Availability" below.
n8n_manage_agents — create, configure, validate, run and publish persisted n8n Agents (a standalone assistant artifact: model, instructions, tools, skills, tasks, memory, channels — not the AI Agent workflow node). Actions: reference, search, get, create, mutate, validate, call, publish, unpublish, revert, versions, delete, discover_assets, verify_mcp_server, update_integration. Start with action: "reference", then discover_assets → create → mutate (one resource at a time, always the latest hash — n8n returns it as configHash and expects it back as args.baseConfigHash; a stale one comes back as STALE_CONFIG) → validate. publish only on explicit request; call runs the agent with real credentials and tools and may return approvals[] for the human to decide. timeoutMs is a top-level parameter (default 30000, 180000 for call), not part of args. Needs n8n 2.34+ with the agents module; on 2.36.x the agents runtime rejects azureOpenAiApi/aws credentials. Envelope error codes: NOT_CONFIGURED, INVALID_ARGS, STALE_CONFIG, AGENT_NOT_RUNNABLE, AGENT_TOOL_ERROR (a custom tool that failed to compile, or an unknown agentId), plus the shared OFFICIAL_MCP_* family (AUTH_FAILED, NOT_ENABLED, RATE_LIMITED, TOOL_UNAVAILABLE, URL_REJECTED, TIMEOUT, TRANSPORT_ERROR, ERROR). See n8n-agents skill's "Persisted n8n Agents" section for the full workflow.n8n_explore_node_resources — resolve the real values behind a node's loadOptions dropdown or resource-locator listSearch (Slack channels, Google Sheets tabs, model lists) using a live credential, instead of guessing an ID. Use it when get_node (standard detail) shows dynamicOptions: {methodName, methodType, dependsOn} on a property. Six parameters are required and none of them are inferred: nodeType (LONG form), version (the node typeVersion the method belongs to), methodName and methodType copied verbatim from dynamicOptions, and credentialType plus a credentialId of that type from n8n_manage_credentials({action: "list"}). Whatever the method dependsOn goes in currentNodeParameters, resource-locator values keeping their {__rl: true, mode: "id", value: "…"} shape. Each result's value is what belongs in the workflow parameter; name is display text only.n8n_list_catalog — list instance-level projects (personal project marked, gives projectId for n8n_manage_agents/n8n_manage_datatable) or tags. Works without the token via the Public API; with it configured, falls back to the official MCP server for team projects when the Public API's licence gate refuses (teamProjectsEnabled reports which).n8n_audit_instance combines n8n's built-in audit (categories credentials/database/nodes/instance/filesystem) with a custom deep scan (hardcoded_secrets, unauthenticated_webhooks, error_handling, data_retention). All parameters optional: categories, includeCustomScan (default true), customChecks, daysAbandonedWorkflow. Detected secrets are masked (first 6 + last 4 chars). Output is an actionable markdown report — summary table, findings by workflow, and a Remediation Playbook split into auto-fixable / requires-review / requires-user-action.
See WORKFLOW_GUIDE.md for the two scanning approaches, examples, and remediation types in full.
tools_documentation() — overview of all tools; tools_documentation({topic, depth: "full"}) for a specific tool. Code node guides via topics javascript_code_node_guide / python_code_node_guide.tools_documentation({topic: "ai_agents_guide", depth: "full"}) (no standalone tool); returns architecture, connections, tools, validation, best practices.n8n_health_check() — quick check; n8n_health_check({mode: "diagnostic"}) returns status, env vars, tool status, API connectivity. Both modes also return an officialMcp block — {configured, endpoint, reachable, toolCount, agentTools} — the preflight for everything gated on N8N_MCP_ACCESS_TOKEN: the agent tools, n8n_test_workflow's routed methods, native version history, the data-table column actions. Read it once before reaching for any of them, rather than discovering the gap through a NOT_CONFIGURED envelope mid-task.See OPERATIONS_GUIDE.md for examples.
Always Available (no n8n API needed):
Requires n8n API (N8N_API_URL + N8N_API_KEY):
Requires N8N_MCP_ACCESS_TOKEN (a separate token from n8n Settings → Instance-level MCP, in addition to the Public API credentials above):
method: "prepare"/"pinned"/"direct" (also needs the workflow's "Available in MCP" setting)source: "native" (also needs the workflow's "Available in MCP" setting)addColumn/deleteColumn/renameColumnIf API tools unavailable, use templates and validation-only workflows.
get_node — detail levels (minimal ~200 tok / standard ~1-2K, RECOMMENDED / full ~3-8K, sparingly) and modes (info default, docs, search_properties + propertyQuery, versions, compare, breaking, migrations). Deep dive in SEARCH_GUIDE.md.validate_node — modes full (default, errors/warnings/suggestions) and minimal (required-fields check); profiles minimal/runtime (default, recommended)/ai-friendly/strict. Deep dive in VALIDATION_GUIDE.md.| Tool | Response Time | Payload Size |
|---|---|---|
| search_nodes | <20ms | Small |
| get_node (standard) | <10ms | ~1-2KB |
| get_node (full) | <100ms | 3-8KB |
| validate_node (minimal) | <50ms | Small |
| validate_node (full) | <100ms | Medium |
| validate_workflow | 100-500ms | Medium |
| n8n_manage_folders | 100-500ms | Small |
| n8n_manage_credentials | 50-500ms | Small-Medium |
| n8n_audit_instance | 500-5000ms | Large |
| n8n_create_workflow | 100-500ms | Medium |
| n8n_update_partial_workflow | 50-200ms | Small |
| n8n_deploy_template | 200-500ms | Medium |
patchNodeField for surgical edits to Code node content instead of replacing the entire nodeget_node({detail: "standard"}) for most use casesprofile: "runtime")branch, case) for clarityintent parameter in workflow updatesincludeExamples: true for real configsn8n_deploy_template for quick startsdetail: "full" unless necessary (wastes tokens)nodes-base.*)n8n-nodes-base.*) with search/validate toolsMost Important:
detail: "standard" (default) - covers 95% of use casesnodes-base.* (search/validate) vs n8n-nodes-base.* (workflows)runtime recommended)branch="true", case=0)activateWorkflow operation)n8n_manage_datatable (CRUD + filtering)n8n_manage_folders; workflow placement is write-only (verify via folder counts, not the workflow)n8n_manage_credentials (CRUD + schema discovery)n8n_audit_instance (built-in + custom deep scan)tools_documentation({topic: "ai_agents_guide", depth: "full"})Common Workflow:
For details, see:
Related Skills:
© czlonkowski, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files in skills/n8n-mcp-tools-expert of czlonkowski/n8n-skills.
Open the folder on GitHubat commit cb6caa7
n8n MCP Tools Expert next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| n8n MCP Tools Expert this skillczlonkowski/n8n-skills | 6.4k | — | ~7.6k | Automated safety check: Pass | MIT | |
| Agents Onboardingfazer-ai/agents | 118 | — | ~4.4k | Automated safety check: Pass | Apache-2.0 | |
| N8n MCP Tools Expertdavila7/claude-code-templates | 33k | 8 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Using N8n MCP Skillssickn33/agentic-awesome-skills | 47k | 1 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Makeericrisco/rsc-harness | 180 | — | ~3.1k | Automated safety check: Notes | MIT | |
| N8n CLIn8n-io/n8n | 207k | — | ~3k | Automated safety check: Pass | Custom licence |
fazer-ai/agents
Conduz a jornada de onboarding 'do zero ao agente de atendimento' do fazer.ai agents num VPS, escolhendo o orquestrador de deploy (Tier A Coolify, B Portainer, C compose genérico para VM crua ou…
davila7/claude-code-templates
Expert guide for using n8n-mcp MCP tools effectively. An agent skill from davila7/claude-code-templates.
sickn33/agentic-awesome-skills
Route n8n MCP workflow design, editing, validation, testing, deployment, credential, execution, and debugging tasks to specialist guidance.
ericrisco/rsc-harness
A skill your agent uses when operating Make.com (formerly Integromat) programmatically — driving its REST API v2 or the Make MCP server from code or an agent to create, read, update, activate, run…
n8n-io/n8n
Use the n8n CLI to manage workflows, credentials, executions, and more on an n8n instance.
sun-guannan/VectCutAPI
Drives CapCut or JianYing through an HTTP and MCP API: create drafts, add video, audio, text, subtitles and effects, preview on the web and batch-produce videos.
czlonkowski/n8n-skills
Explains how n8n keeps file bytes in $binary apart from structured $json data, and how to read, write and preserve binary across nodes, agent tools and chat.
czlonkowski/n8n-skills
Guides writing JavaScript in n8n Code nodes: picking an execution mode, reading input data, returning items, using built-in helpers and avoiding common errors.
czlonkowski/n8n-skills
Explains how to write native Python in n8n Code nodes, including the two input variables, blocked imports and fixes for common errors.
czlonkowski/n8n-skills
Explains the n8n Custom Code Tool's actual runtime contract so an AI-agent-callable tool doesn't get written like a regular workflow Code node.
czlonkowski/n8n-skills
Wires n8n workflows so failures are visible and recoverable: per-node error outputs, retries, error workflows and correct 4xx and 5xx webhook responses.
czlonkowski/n8n-skills
Keeps an n8n MCP session pointed at the right n8n instance, with rules for discovering, switching and verifying the target before credential writes and for recovering from misroutes.
Works with
Categories
Guides the agent in choosing and calling n8n-mcp tools: finding nodes, validating configurations, deploying templates, managing workflows, folders and credentials, and auditing an instance. The skill is a guide to the tools of the n8n-mcp server, grouped into twelve categories: node discovery, configuration validation, workflow management, a template library of 2,700+ workflows, data tables, workflow folders, credential management, security audit, documentation, persisted n8n Agents, node resource resolution and an instance catalog.
n8n MCP Tools Expert fits situations like: searching for the right n8n node and checking its operations; validating a node or full workflow configuration before deploying; deploying or adapting a workflow template on an n8n instance; organizing workflows into folders or managing credentials through n8n-mcp.
Run `npx skills add czlonkowski/n8n-skills --skill n8n-mcp-tools-expert -a claude-code`. Or copy the skill folder (skills/n8n-mcp-tools-expert in czlonkowski/n8n-skills) into .claude/skills/n8n-mcp-tools-expert in your project. Claude Code loads it when a task matches its description.
Run `npx skills add czlonkowski/n8n-skills --skill n8n-mcp-tools-expert -a codex`. Or copy the skill folder (skills/n8n-mcp-tools-expert in czlonkowski/n8n-skills) into .agents/skills/n8n-mcp-tools-expert in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add czlonkowski/n8n-skills --skill n8n-mcp-tools-expert -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/n8n-mcp-tools-expert, .gemini/skills/n8n-mcp-tools-expert, .github/skills/n8n-mcp-tools-expert and .opencode/skills/n8n-mcp-tools-expert in your project.
Going by SKILL.md and its folder, n8n MCP Tools Expert needs credentials named N8N_MCP_ACCESS_TOKEN and N8N_API_KEY. Our summary lists: An n8n instance reachable through the n8n-mcp MCP server; An N8N_MCP_ACCESS_TOKEN for the agent and node-resource tools.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
n8n MCP Tools Expert is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 7.6k tokens (SKILL.md is roughly 30k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with n8n MCP Tools Expert: Agents Onboarding (fazer-ai/agents, 118 stars), N8n MCP Tools Expert (davila7/claude-code-templates, 33k stars), Using N8n MCP Skills (sickn33/agentic-awesome-skills, 47k stars) and Make (ericrisco/rsc-harness, 180 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
czlonkowski (a GitHub user) maintains it in czlonkowski/n8n-skills, which has 6,398 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 9, 2026.
Source: czlonkowski/n8n-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.