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n8n-Workflows aus Knotendokumentation, Vorlagen und Schemata üb…

Verwenden Sie n8n-MCP, wenn ein Agent strukturierten Zugriff auf n8n-Knoten, Eigenschaften, Operationen und Vorlagenbeispiele benötigt, anstatt aus rohen Dokumentationen zu raten oder manuell durch die n8n-Benutzeroberfläche zu klicken.

Was ist n8n-Workflows aus Knotendokumentation, Vorlagen und Schemata üb…?

Diese Fähigkeit ermöglicht es KI-Agenten (z. B. Claude Code, Cursor, Codex oder Windsurf), n8n-Workflows zu entwerfen und zu debuggen, indem sie strukturiert auf n8n-Knotendokumentationen, Eigenschaften, Operationen und Vorlagenbeispiele zugreifen. Anstatt sich auf rohe Dokumentationen oder manuelle UI-Interaktionen zu verlassen, nutzt n8n-MCP das Model Context Protocol (MCP), um tiefgehende Einblicke in über 99 % der n8n-Knoten mit detaillierten Schemata zu bieten. Die Installation erfolgt schnell über Docker oder eine cloud-basierte Dashboard-Option mit einem kostenlosen Tarif von 100 Tool-Aufrufen pro Tag. Entwickler können so Workflows effizienter gestalten, Fehler reduzieren und die Produktivität steigern, ohne zwischen verschiedenen Tools wechseln zu müssen.

Funktioniert mit✓Claude Code✓Codex CLI✓Cursor✓Windsurf
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Docker

Dokumentation

Build n8n workflows from node docs, templates, and schemas through MCP

Verwenden Sie n8n-MCP, wenn ein Agent strukturierten Zugriff auf n8n-Knoten, Eigenschaften, Operationen und Vorlagenbeispiele benötigt, während er Workflows entwirft oder debuggt, anstatt aus rohen Dokumentationen zu raten oder manuell durch die n8n-Benutzeroberfläche zu klicken.

Voraussetzungen

n8n-MCP, ein MCP-kompatibler Client wie Claude Code, Cursor, Codex oder Windsurf, und optional eine n8n-Instanz zur Validierung generierter Workflows

Installation

Anforderungen und Hinweise aus dem Upstream-Projekt:

  • Docker
  • Ein Model Context Protocol (MCP)-Server, der KI-Assistenten umfassenden Zugriff auf n8n-Knotendokumentation, Eigenschaften und Operationen bietet. In Minuten bereitgestellt, um Claude und anderen KI-Assistenten tiefgehendes Wissen zu ermöglichen...
  • Knoteneigenschaften - 99% Abdeckung mit detaillierten Schemata

Grundlegende Nutzung oder Einstiegsnotizen:

Dokumentation

Quelle

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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ACF Extended for Advanced Custom Fields Workflows

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ACF to Gutenberg Block Migrator

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Activepieces Open Source Workflow Automation

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act Local GitHub Actions Runner

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Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

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Add managed long-term memory to LangGraph agents with LangMem

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Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

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Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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