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Home/Categories/AI & Machine Learning/N8N2MCP
icon of N8N2MCP

N8N2MCP

Open source alternative to Google Cloud Vertex AI, Microsoft Azure AI Studio and Workato

Convert n8n workflows into MCP tools for Claude, Cursor, and other AI clients. MIT licensed, and best for teams already running n8n.

132 starsHTMLMIT
Visit websiteGitHub repoDeployDeploy on Hostinger
image of N8N2MCP
Contents
  1. 01Who N8N2MCP is for
  2. 02The problem it solves
  3. 03How it solves it
  4. 04Strengths and trade-offs
  5. 05Tech stack
  6. 06FAQ
  7. 07Similar open-source tools
TL;DR

N8N2MCP turns existing n8n workflows into Model Context Protocol tools for AI assistants. It helps teams expose automations to Claude, Cursor, and related clients without building a custom integration layer for every workflow.MIT · HTML · 132 stars

who it's for

Who N8N2MCP is for#

Ops teams connecting assistants to automation

N8N2MCP fits teams that want AI assistants to call approved n8n workflows for internal tasks.

Skip if:

Your automations do not already live in n8n.

Developers standardizing MCP tool access

The project helps developers wrap workflow automations in a protocol-aware interface instead of maintaining per-client connectors.

Skip if:

You need a hosted enterprise integration catalog with vendor support.

the problem

The problem it solves#

Teams often have useful business automations in n8n, but AI assistants cannot call those workflows unless someone wraps them in a compatible tool interface. That creates duplicate glue code, unclear permissions, and maintenance work each time a workflow changes.

The Model Context Protocol gives assistants a common way to discover and call tools. N8N2MCP applies that standard to n8n so automation owners can reuse existing workflows instead of rebuilding them for each AI client.

how N8N2MCP solves it

How it solves it#

n8n workflow exposure

N8N2MCP makes n8n automations callable through MCP, which lets assistants trigger workflows through a standard tool surface.

AI client compatibility

The project targets MCP clients such as Claude and Cursor, helping teams reuse automations across multiple assistant environments.

Integration bridge instead of rewrite

Teams can keep workflow logic in n8n and add MCP access around it, reducing the need for one-off API wrappers.

strengths · trade-offs

Strengths and trade-offs#

Strengths

  • Strong fit for n8n-heavy teamsN8N2MCP is useful when operations, support, or growth teams already trust n8n workflows and want AI assistants to call them.
  • Open protocol directionMCP support keeps the assistant integration layer less tied to one vendor or IDE.

Trade-offs

  • -Depends on workflow hygieneExposing automations to AI tools requires clear workflow names, safe inputs, permissions, and review of actions that can change external systems.
tech stack · detected from GitHub

What it's built on#

Languages
Python
Frameworks
FastAPIFlask
Infrastructure
Kubernetes
frequently asked

FAQ#

What does N8N2MCP do?

N8N2MCP converts n8n workflows into MCP tools that AI assistants can discover and call.

Which AI assistants can use N8N2MCP?

The project targets MCP-compatible assistants and developer tools, including Claude and Cursor.

Is N8N2MCP a replacement for n8n?

No. It sits next to n8n and exposes existing workflows through the Model Context Protocol.

also worth a look

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Repository

Stars
132
Forks
34
License
MIT
Last commit
433 days ago
Last verified
Oct 13, 2026
Repo
Super-Chain/N8N2MCP ↗

Additional details

Language
HTML
Open issues
2
Contributors
2
First release
2025

Categories

AI & Machine LearningLLMOps & AI ToolingAPIs & Integration

Tags

Workflow AutomationLLMAI AgentsLLMOpsAPI InfrastructureDeveloper ToolsNo CodeSelf Hosted