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n8n-mcp

by actions-marketplace-validations
OverviewSchemaRelated ServersScoreDiscussions
TypeScript
Hybrid

Generate an n8n workflow from a description

workflow_generate
Read-only

Generate n8n workflow JSON from plain-English descriptions. Supports webhook, schedule, RSS triggers, and action nodes like Slack, Google Sheets, Discord, Gmail, Notion, HTTP, and AI Agents.

Instructions

Generate a valid n8n workflow JSON from a plain-English description. Handles webhook/schedule/RSS triggers, common action nodes (Slack, Google Sheets, Discord, Gmail, Notion, HTTP), and AI Agent setups (LangChain root agent + chat model + memory + optional HTTP tool, wired with ai_languageModel / ai_memory / ai_tool connections). Returns workflow JSON with unique node IDs, connections, positions, and typeVersion on every node. Output is non-deterministic (random node IDs and webhook paths).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionYesPlain-English workflow description, e.g. 'Stripe webhook -> Slack message + Google Sheets row'.
nameNoOptional workflow name. Derived from the first sentence of the description if omitted.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
workflowYesFull n8n workflow JSON (name, nodes, connections, settings, ...).

Tool Definition Quality

A4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations mark readOnlyHint=true; description adds non-deterministic output and random IDs, providing context beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single paragraph, front-loaded main purpose, no wasted words, efficiently covers key points.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Describes return value (workflow JSON with fields) and behavior; output schema exists, but error cases not mentioned.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage 100%; description adds minor context (name derivation) but schema already documents parameters well.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Generate a valid n8n workflow JSON from a plain-English description' with specific triggers and nodes, distinguishing it from siblings like workflow_create.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implied usage for generating workflows from text, but no explicit when-not or alternatives among siblings like workflow_create.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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