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czlonkowski

A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you

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  • Connect tools to AI workflows

    n8n exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 7 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    23K stars and 3.7K forks from the linked repository.

n8n-MCP

License: MIT GitHub stars npm version codecov Tests n8n version Docker Deploy on Railway

A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations. Deploy in minutes to give Claude and other AI assistants deep knowledge about n8n's 2,791 workflow automation nodes (833 core + 1,958 community).

Overview

n8n-MCP serves as a bridge between n8n's workflow automation platform and AI models, enabling them to understand and work with n8n nodes effectively. It provides structured access to:

  • 2,791 n8n nodes - 833 core nodes + 1,958 community nodes (1,619 verified)
  • Node properties - 99% coverage with detailed schemas
  • Node operations - 66.5% coverage of available actions
  • Documentation - 86% coverage from official n8n docs (including AI nodes)
  • AI tools - 267 AI-capable tool variants detected with full documentation
  • Real-world examples - 156 ranked configurations extracted from popular templates
  • Template library - 2,352 workflow templates with 99.96% AI metadata coverage
  • Community nodes - Search verified community integrations with source filter

Support This Project

n8n-mcp started as a personal tool but now helps tens of thousands of developers automate their workflows efficiently. Maintaining and developing this project competes with my paid work. Your sponsorship helps me dedicate focused time to new features, respond quickly to issues, keep documentation up-to-date, and ensure compatibility with latest n8n releases. Become a sponsor

💼 Need it built for you? Work with AiAdvisors — n8n automation audits, builds, and operations, run by the author of n8n-mcp and n8n-skills.

Important Safety Warning

NEVER edit your production workflows directly with AI! Always:

  • Make a copy of your workflow before using AI tools
  • Test in development environment first
  • Export backups of important workflows
  • Validate changes before deploying to production

AI results can be unpredictable. Protect your work!

Quick Start

The fastest way to try n8n-MCP - no installation, no configuration:

dashboard.n8n-mcp.com

  • Free tier: 100 tool calls/day
  • Instant access: Start building workflows immediately
  • Always up-to-date: Latest n8n nodes and templates
  • No infrastructure: We handle everything

Just sign up, get your API key, and connect your MCP client.

Want to self-host? See the Self-Hosting Guide for npx, Docker, Railway, and local installation options.

n8n Integration

Want to use n8n-MCP with your n8n instance? Check out our comprehensive n8n Deployment Guide for:

  • Local testing with the MCP Client Tool node
  • Production deployment with Docker Compose
  • Cloud deployment on Hetzner, AWS, and other providers
  • Troubleshooting and security best practices

Cloudflare Access Authentication

If your n8n instance sits behind Cloudflare Access (Zero Trust), provide your service token so n8n-MCP can authenticate:

  • N8N_CF_CLIENT_ID - Cloudflare Access Client ID
  • N8N_CF_CLIENT_SECRET - Cloudflare Access Client Secret

When set, these are sent as CF-Access-Client-Id / CF-Access-Client-Secret headers on n8n API requests, version/health probes, and webhook executions. The token is confined to the N8N_API_URL origin — webhook calls to a different host (e.g. a split WEBHOOK_URL origin) do not receive it, to avoid leaking the token.

n8n Agents and Instance-Level MCP (Optional)

To use n8n_manage_agents, n8n_explore_node_resources, and the project fallback in n8n_list_catalog, set:

  • N8N_MCP_ACCESS_TOKEN - MCP API key from n8n Settings → Instance-level MCP → set MCP status to Enabled. This is a separate secret from N8N_API_KEY and should be stored the same way. The MCP endpoint is derived from N8N_API_URL; instances that serve MCP from a split host (N8N_MCP_BASE_URL) are not supported.

See Connecting n8n-mcp to n8n's instance-level MCP server for the full setup walkthrough, including how to get the token from the n8n UI, prerequisites, and troubleshooting.

Connect your IDE

n8n-MCP works with multiple AI-powered IDEs and tools:

Add Claude Skills (Optional)

Supercharge your n8n workflow building with specialized skills that teach AI how to build production-ready workflows!

n8n-mcp Skills Setup

Learn more: n8n-skills repository

Claude Project Setup

For the best results when using n8n-MCP with Claude Projects, use these enhanced system instructions:

markdown
You are an expert in n8n automation software using n8n-MCP tools. Your role is to design, build, and validate n8n workflows with maximum accuracy and efficiency.

## Core Principles

### 1. Silent Execution
CRITICAL: Execute tools without commentary. Only respond AFTER all tools complete.

### 2. Parallel Execution
When operations are independent, execute them in parallel for maximum performance.

### 3. Templates First
ALWAYS check templates before building from scratch (2,352 available).

### 4. Multi-Level Validation
Use validate_node(mode='minimal') → validate_node(mode='full') → validate_workflow pattern.

### 5. Never Trust Defaults
CRITICAL: Default parameter values are the #1 source of runtime failures.
ALWAYS explicitly configure ALL parameters that control node behavior.

## Workflow Process

1. **Start**: Call `tools_documentation()` for best practices

2. **Template Discovery Phase** (FIRST - parallel when searching multiple)
   - `search_templates({searchMode: 'by_metadata', complexity: 'simple'})` - Smart filtering
   - `search_templates({searchMode: 'by_task', task: 'webhook_processing'})` - Curated by task
   - `search_templates({query: 'slack notification'})` - Text search (default searchMode='keyword')
   - `search_templates({searchMode: 'by_nodes', nodeTypes: ['n8n-nodes-base.slack']})` - By node type

   **Filtering strategies**:
   - Beginners: `complexity: "simple"` + `maxSetupMinutes: 30`
   - By role: `targetAudience: "marketers"` | `"developers"` | `"analysts"`
   - By time: `maxSetupMinutes: 15` for quick wins
   - By service: `requiredService: "openai"` for compatibility

3. **Node Discovery** (if no suitable template - parallel execution)
   - Think deeply about requirements. Ask clarifying questions if unclear.
   - `search_nodes({query: 'keyword', includeExamples: true})` - Parallel for multiple nodes
   - `search_nodes({query: 'trigger'})` - Browse triggers
   - `search_nodes({query: 'AI agent langchain'})` - AI-capable nodes

4. **Configuration Phase** (parallel for multiple nodes)
   - `get_node({nodeType, detail: 'standard', includeExamples: true})` - Essential properties (default)
   - `get_node({nodeType, detail: 'minimal'})` - Basic metadata only (~200 tokens)
   - `get_node({nodeType, detail: 'full'})` - Complete information (~3000-8000 tokens)
   - `get_node({nodeType, mode: 'search_properties', propertyQuery: 'auth'})` - Find specific properties
   - `get_node({nodeType, mode: 'docs'})` - Human-readable markdown documentation
   - Show workflow architecture to user for approval before proceeding

5. **Validation Phase** (parallel for multiple nodes)
   - `validate_node({nodeType, config, mode: 'minimal'})` - Quick required fields check
   - `validate_node({nodeType, config, mode: 'full', profile: 'runtime'})` - Full validation with fixes
   - Fix ALL errors before proceeding

6. **Building Phase**
   - If using template: `get_template(templateId, {mode: "full"})`
   - **MANDATORY ATTRIBUTION**: "Based on template by **[author.name]** (@[username]). View at: [url]"
   - Build from validated configurations
   - EXPLICITLY set ALL parameters - never rely on defaults
   - Connect nodes with proper structure
   - Add error handling
   - Use n8n expressions: $json, $node["NodeName"].json
   - Build in artifact (unless deploying to n8n instance)

7. **Workflow Validation** (before deployment)
   - `validate_workflow(workflow)` - Complete validation
   - `validate_workflow_connections(workflow)` - Structure check
   - `validate_workflow_expressions(workflow)` - Expression validation
   - Fix ALL issues before deployment

8. **Deployment** (if n8n API configured)
   - `n8n_create_workflow(workflow)` - Deploy
   - `n8n_validate_workflow({id})` - Post-deployment check
   - `n8n_update_partial_workflow({id, operations: [...]})` - Batch updates
   - `n8n_test_workflow({workflowId})` - Test workflow execution

## Critical Warnings

### Never Trust Defaults
Default values cause runtime failures. Example:
```json
// FAILS at runtime
{resource: "message", operation: "post", text: "Hello"}

// WORKS - all parameters explicit
{resource: "message", operation: "post", select: "channel", channelId: "C123", text: "Hello"}
```

### Example Availability
`includeExamples: true` returns real configurations from workflow templates.
- Coverage varies by node popularity
- When no examples available, use `get_node` + `validate_node({mode: 'minimal'})`

## Validation Strategy

### Level 1 - Quick Check (before building)
`validate_node({nodeType, config, mode: 'minimal'})` - Required fields only (<100ms)

### Level 2 - Comprehensive (before building)
`validate_node({nodeType, config, mode: 'full', profile: 'runtime'})` - Full validation with fixes

### Level 3 - Complete (after building)
`validate_workflow(workflow)` - Connections, expressions, AI tools

### Level 4 - Post-Deployment
1. `n8n_validate_workflow({id})` - Validate deployed workflow
2. `n8n_autofix_workflow({id})` - Auto-fix common errors
3. `n8n_executions({action: 'list'})` - Monitor execution status

## Response Format

### Initial Creation
```
[Silent tool execution in parallel]

Created workflow:
- Webhook trigger → Slack notification
- Configured: POST /webhook → #general channel

Validation: All checks passed
```

### Modifications
```
[Silent tool execution]

Updated workflow:
- Added error handling to HTTP node
- Fixed required Slack parameters

Changes validated successfully.
```

## Batch Operations

Use `n8n_update_partial_workflow` with multiple operations in a single call:

GOOD - Batch multiple operations:
```json
n8n_update_partial_workflow({
  id: "wf-123",
  operations: [
    {type: "updateNode", nodeId: "slack-1", changes: {...}},
    {type: "updateNode", nodeId: "http-1", changes: {...}},
    {type: "cleanStaleConnections"}
  ]
})
```

BAD - Separate calls:
```json
n8n_update_partial_workflow({id: "wf-123", operations: [{...}]})
n8n_update_partial_workflow({id: "wf-123", operations: [{...}]})
```

### CRITICAL: addConnection Syntax

The `addConnection` operation requires **four separate string parameters**. Common mistakes cause misleading errors.

CORRECT - Four separate string parameters:
```json
{
  "type": "addConnection",
  "source": "node-id-string",
  "target": "target-node-id-string",
  "sourcePort": "main",
  "targetPort": "main"
}
```

**Reference**: [GitHub Issue #327](https://github.com/czlonkowski/n8n-mcp/issues/327)

### CRITICAL: IF Node Multi-Output Routing

IF nodes have **two outputs** (TRUE and FALSE). Use the **`branch` parameter** to route to the correct output:

```json
n8n_update_partial_workflow({
  id: "workflow-id",
  operations: [
    {type: "addConnection", source: "If Node", target: "True Handler", sourcePort: "main", targetPort: "main", branch: "true"},
    {type: "addConnection", source: "If Node", target: "False Handler", sourcePort: "main", targetPort: "main", branch: "false"}
  ]
})
```

**Note**: Without the `branch` parameter, both connections may end up on the same output, causing logic errors!

### removeConnection Syntax

Use the same four-parameter format:
```json
{
  "type": "removeConnection",
  "source": "source-node-id",
  "target": "target-node-id",
  "sourcePort": "main",
  "targetPort": "main"
}
```

## Important Rules

### Core Behavior
1. **Silent execution** - No commentary between tools
2. **Parallel by default** - Execute independent operations simultaneously
3. **Templates first** - Always check before building (2,352 available)
4. **Multi-level validation** - Quick check → Full validation → Workflow validation
5. **Never trust defaults** - Explicitly configure ALL parameters

### Attribution & Credits
- **MANDATORY TEMPLATE ATTRIBUTION**: Share author name, username, and n8n.io link
- **Template validation** - Always validate before deployment (may need updates)

### Code Node Usage
- **Avoid when possible** - Prefer standard nodes
- **Only when necessary** - Use code node as last resort
- **AI tool capability** - ANY node can be an AI tool (not just marked ones)

### Most Popular n8n Nodes (for get_node):

1. **n8n-nodes-base.code** - JavaScript/Python scripting
2. **n8n-nodes-base.httpRequest** - HTTP API calls
3. **n8n-nodes-base.webhook** - Event-driven triggers
4. **n8n-nodes-base.set** - Data transformation
5. **n8n-nodes-base.if** - Conditional routing
6. **n8n-nodes-base.manualTrigger** - Manual workflow execution
7. **n8n-nodes-base.respondToWebhook** - Webhook responses
8. **n8n-nodes-base.scheduleTrigger** - Time-based triggers
9. **@n8n/n8n-nodes-langchain.agent** - AI agents
10. **n8n-nodes-base.googleSheets** - Spreadsheet integration
11. **n8n-nodes-base.merge** - Data merging
12. **n8n-nodes-base.switch** - Multi-branch routing
13. **n8n-nodes-base.telegram** - Telegram bot integration
14. **@n8n/n8n-nodes-langchain.lmChatOpenAi** - OpenAI chat models
15. **n8n-nodes-base.splitInBatches** - Batch processing
16. **n8n-nodes-base.openAi** - OpenAI legacy node
17. **n8n-nodes-base.gmail** - Email automation
18. **n8n-nodes-base.function** - Custom functions
19. **n8n-nodes-base.stickyNote** - Workflow documentation
20. **n8n-nodes-base.executeWorkflowTrigger** - Sub-workflow calls

**Note:** LangChain nodes use the `@n8n/n8n-nodes-langchain.` prefix, core nodes use `n8n-nodes-base.`

Save these instructions in your Claude Project for optimal n8n workflow assistance with intelligent template discovery.

Available MCP Tools

Core Tools (7 tools)

  • tools_documentation - Get documentation for any MCP tool (START HERE!)
  • search_nodes - Full-text search across all nodes. Use source: 'community'|'verified' for community nodes, includeExamples: true for configs
  • get_node - Unified node information tool with multiple modes:
    • Info mode (default): detail: 'minimal'|'standard'|'full', includeExamples: true
    • Docs mode: mode: 'docs' - Human-readable markdown documentation
    • Property search: mode: 'search_properties', propertyQuery: 'auth'
    • Versions: mode: 'versions'|'compare'|'breaking'|'migrations'
  • validate_node - Unified node validation:
    • mode: 'minimal' - Quick required fields check (<100ms)
    • mode: 'full' - Comprehensive validation with profiles (minimal, runtime, ai-friendly, strict)
  • validate_workflow - Complete workflow validation including AI Agent validation
  • search_templates - Unified template search:
    • searchMode: 'keyword' (default) - Text search with query parameter
    • searchMode: 'by_nodes' - Find templates using specific nodeTypes
    • searchMode: 'by_task' - Curated templates for common task types
    • searchMode: 'by_metadata' - Filter by complexity, requiredService, targetAudience
  • get_template - Get complete workflow JSON (modes: nodes_only, structure, full)

n8n Management Tools (21 tools - Requires API Configuration)

These tools require N8N_API_URL and N8N_API_KEY in your configuration.

Workflow Management

  • n8n_create_workflow - Create new workflows with nodes and connections
  • n8n_get_workflow - Unified workflow retrieval (modes: full, details, structure, minimal)
  • n8n_update_full_workflow - Update entire workflow (complete replacement)
  • n8n_update_partial_workflow - Update workflow using diff operations
  • n8n_delete_workflow - Delete workflows permanently
  • n8n_list_workflows - List workflows with filtering and pagination
  • n8n_validate_workflow - Validate workflows in n8n by ID
  • n8n_autofix_workflow - Automatically fix common workflow errors
  • n8n_workflow_versions - Version history, diff and rollback over two histories: source: 'local' (the snapshots n8n-mcp takes before it changes a workflow, the default) and source: 'native' (n8n's own workflow history, including UI edits — needs N8N_MCP_ACCESS_TOKEN and the workflow's "Available in MCP" setting)
  • n8n_deploy_template - Deploy templates from n8n.io directly to your instance with auto-fix

Node Resource Discovery

  • n8n_explore_node_resources - Resolve a node's dynamic dropdown (loadOptions) or resource-locator search (listSearch) values — Slack channels, Google Sheets tabs, model lists — using a real credential, so workflow configs use existing IDs instead of invented ones. Requires N8N_MCP_ACCESS_TOKEN (see Official MCP Setup)

Execution Management

  • n8n_test_workflow - Run a workflow. method: 'auto' (default) triggers it over HTTP through its webhook/form/chat trigger; method: 'prepare'/'pinned'/'direct' run workflows that have no such trigger through n8n's own MCP server (needs N8N_MCP_ACCESS_TOKEN and the workflow's "Available in MCP" setting)
  • n8n_executions - Unified execution management (list, get, delete)
  • n8n_evaluations - Run and read evaluation test runs (list runs, aggregated metrics, per-case results on n8n 2.30+; trigger and cancel on 2.32+)

Folder Management

  • n8n_manage_folders - Manage workflow folders (create, list, get, rename, move, delete; n8n 2.19+). Place workflows into folders via n8n_create_workflow's parentFolderId or n8n_update_partial_workflow's moveToFolder operation (n8n 2.32+)

Data Table Management

  • n8n_manage_datatable - Manage n8n data tables, rows and columns (list, get, create, update, delete; addColumn/deleteColumn/renameColumn change an existing table's columns through n8n's own MCP server and need N8N_MCP_ACCESS_TOKEN)

Credential Management

  • n8n_manage_credentials - Manage n8n credentials (list, get, create, update, delete, getSchema)

Security & Audit

  • n8n_audit_instance - Security audit combining n8n's built-in audit API with deep workflow scanning

Agents

  • n8n_manage_agents - Manage n8n Agents (persisted assistants with a model, instructions, tools, skills, tasks, memory and channels) through n8n's instance-level MCP server. Requires N8N_MCP_ACCESS_TOKEN and n8n 2.34+ with the agents module (see Official MCP Setup). This is not the AI Agent workflow node — use get_node for that

System Tools

  • n8n_health_check - Check n8n API connectivity and features, including officialMcp status when N8N_MCP_ACCESS_TOKEN is configured
  • n8n_list_catalog - List instance-level projects or tags; falls back to n8n's instance-level MCP server for team projects when the Public API doesn't expose them

Read-Only Deployment

For governance-sensitive environments, use both env vars together. Fully disable tools that are write/destructive or handle sensitive data (n8n_manage_credentials and n8n_manage_datatable also offer read operations, but are removed entirely here because even reads expose sensitive material):

bash
DISABLED_TOOLS=n8n_create_workflow,n8n_update_full_workflow,n8n_update_partial_workflow,n8n_delete_workflow,n8n_autofix_workflow,n8n_deploy_template,n8n_test_workflow,n8n_manage_credentials,n8n_manage_datatable

For tools that bundle read and write operations under one name, block only the destructive operations while keeping list and get. Use this instead of a full DISABLED_TOOLS entry where the tool's read operations are acceptable — the n8n_manage_datatable and n8n_test_workflow entries below are the alternative to removing those tools entirely as above. The example names every write operation of every tool that has one:

bash
DISABLED_TOOL_OPERATIONS=n8n_executions:delete;n8n_test_workflow:auto,trigger,pinned,direct,expose;n8n_evaluations:run,cancel;n8n_manage_folders:create,rename,move,delete;n8n_workflow_versions:delete,rollback,prune,expose;n8n_manage_agents:create,mutate,call,publish,unpublish,revert,delete,update_integration;n8n_manage_datatable:createTable,updateTable,deleteTable,insertRows,updateRows,upsertRows,deleteRows,addColumn,deleteColumn,renameColumn

Two details are easy to miss when writing your own list. For n8n_test_workflow, all four of auto, trigger, pinned and direct run the workflow (an omitted or blank method counts as auto), leaving only the read-only prepare. And expose is not a value of any operation parameter: it is the exposeToMcp consent write of n8n_test_workflow and n8n_workflow_versions, which enables a workflow's "Available in MCP" setting. Omitting expose leaves that write reachable.

Combine with a read-only n8n API key (Settings → API in your n8n instance) for defence in depth. See Read-Only Deployment Recipe for the full setup guide.

Documentation

License

MIT License - see LICENSE for details.

Contributing

See CONTRIBUTING.md for development setup, testing, and contribution guidelines.

Acknowledgments

See Acknowledgments for credits and template attribution.



💼 Need it built for you?

Work with AiAdvisors — n8n automation audits, builds, and operations, run by the author of n8n-mcp and n8n-skills.

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "n8n-mcp": {
      "command": "npx",
      "args": [
        "n8n-mcp"
      ],
      "env": {
        "MCP_MODE": "stdio",
        "LOG_LEVEL": "error",
        "DISABLE_CONSOLE_OUTPUT": "true",
        "N8N_API_URL": "https://your-n8n-instance.com",
        "N8N_API_KEY": "your-api-key"
      }
    }
  }
}

Available Tools

  • tools_documentation

    Get documentation for n8n MCP tools. Call without parameters for quick start guide. Use topic parameter to get documentation for specific tools. Use depth='full' for comprehensive documentation.

  • search_nodes

    Search n8n nodes by keyword with optional real-world examples. Pass query as string. Example: query="webhook" or query="database". Returns max 20 results. Use includeExamples=true to get top 2 template configs per node.

  • get_node

    Get node info with progressive detail levels and multiple modes. Detail: minimal (~200 tokens), standard (~1-2K, default), full (~3-8K). Modes: info (default), docs (markdown documentation), search_properties (find properties), versions/compare/breaking/migrations (version info). Use format='docs' for readable documentation, mode='search_properties' with propertyQuery for finding specific fields.

  • validate_node

    Validate n8n node configuration. Use mode='full' for comprehensive validation with errors/warnings/suggestions, mode='minimal' for quick required fields check. Example: nodeType="nodes-base.slack", config={resource:"channel",operation:"create"}

  • get_template

    Get template by ID. Use mode to control response size: nodes_only (minimal), structure (nodes+connections), full (complete workflow).

  • search_templates

    Search templates with multiple modes. Use searchMode='keyword' for text search, 'by_nodes' to find templates using specific nodes, 'by_task' for curated task-based templates, 'by_metadata' for filtering by complexity/setup time/services.

  • validate_workflow

    Full workflow validation: structure, connections, expressions, AI tools. Returns errors/warnings/fixes. Essential before deploy.

Use n8n MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once n8n is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add n8n as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the n8n MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "n8n": {
      "command": "npx",
      "args": [
        "-y",
        "n8n-mcp"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the n8n MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the n8n MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use n8n to help me with this task?
n8n
Sure. I read it.
Here is what I found using n8n.

Frequently asked questions

What is the n8n MCP server used for?

n8n is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use n8n MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use n8n with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use n8n MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With n8n connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect n8n MCP to TypingMind?

n8n runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does n8n MCP provide in TypingMind?

n8n exposes 7 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use n8n MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If n8n requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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