by Łukasz
Who is it for This workflow is for anyone who is using N8N. It's especially helpful if you are a DevOps and your N8N instance is self hosted. If you carea lot about security and number of failed executions and at the same time you are using InfluxDB to monitor status of your systems, this will perfectly fit in your stack. How it works This automation is fairly simple. It uses native N8N nodes to gather data from itself. Then it is parsing this data to be compatible with InfluxDB input. And finally it is sending this data to InfluxDB for further processing. Remember to set up Setup is really simple and you just need to provide just three variables. First is your InfluxDB URL, second is your InfluxDB organization, and third is your InfluxDB bucket name. Of course, to set up N8N nodes and gather data from them, you will need your instance API key. And that's all. How it looks in InfluxDB? See below Schedule Audits Audits don't need to be run often, but I would recommend it to be run on regular basis. This way you can see real data series in InfluxDB. I think that once a day should be enough, but it depends on your N8N usage of course Thank you, perfect! Glad I could help. Visit my profile for other automations for businesses. And if you are looking for dedicated software development, do not hesitate to reach out! You can also see automations on my Sailing Byte's GitHub N8N repository.
by n8n Team
This workflow checks if the task in Todoist has a specific label and based on that creates a new database page in Notion. Prerequisites Todoist account and Todoist credentials Notion account and Notion credentials How it works To start the workflow add a task to Todoist and mark it with a label, e.g. “send-to-n8n”. Wait a maximum of 30 seconds. Todoist node identifies the tasks marked as “send-to-n8n”. Notion node creates a new Notion database page. Notice Notion has a new task now with the same name as in Todoist.
by CustomJS
! n8n Workflow: HTML to PDF Generator This n8n workflow converts HTML content into a styled PDF and returns it as a response via a webhook. The workflow receives HTML input, processes it using CustomJS's PDF toolkit, and sends back the resulting PDF to the original webhook requester. @custom-js/n8n-nodes-pdf-toolkit Features: Webhook Trigger**: Accepts incoming requests with HTML content. HTML to PDF Conversion**: Uses CustomJS to transform HTML into a PDF. Response**: Sends the generated PDF back to the webhook response. Requirements: Self-hosted** n8n instance A CustomJS API key for HTML to PDF conversion HTML content** to be converted into a PDF Workflow Steps: Webhook Trigger: Accepts incoming HTTP requests with HTML content. This data is passed to the next node for processing. HTML to PDF Conversion: Uses the CustomJS node to convert the incoming HTML into a PDF document. You can customize the HTML content to match the design requirements. Respond to Webhook: Sends the generated PDF as a binary response to the original webhook request. Setup Guide: 1. Configure CustomJS API Sign up at CustomJS. Retrieve your API key from the profile page. Add your API key as n8n credentials. 2. Design Workflow Create a Webhook: Set up a webhook to trigger the workflow when HTML content is received. Prepare HTML Content: The incoming request should include the HTML content you wish to convert into a PDF. Configure HTML to PDF Node: Use the HTML to PDF node to convert the provided HTML into a PDF. The node uses the HTML input to generate a PDF using the CustomJS API. Respond with the PDF: The Respond to Webhook node will send the generated PDF back to the original requester as a binary response. Example HTML Input: Hello CustomJS! CustomJS provides the missing toolset for your no-code projects Result PDF
by David Ashby
Complete MCP server exposing all PagerDuty Tool operations to AI agents. Zero configuration needed - all 9 operations pre-built. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works • MCP Trigger: Serves as your server endpoint for AI agent requests • Tool Nodes: Pre-configured for every PagerDuty Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n PagerDuty Tool tool with full error handling 📋 Available Operations (9 total) Every possible PagerDuty Tool operation is included: 🔧 Incident (4 operations) • Create an incident • Get an incident • Get many incidents • Update an incident 🔧 Incidentnote (2 operations) • Create an incident note • Get many incident notes 🔧 Logentry (2 operations) • Get a log entry • Get many log entries 👤 User (1 operations) • Get a user 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Resource IDs and identifiers • Search queries and filters • Content and data payloads • Configuration options Response Format: Native PagerDuty Tool API responses with full data structure Error Handling: Built-in n8n error management and retry logic 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • Other n8n Workflows: Call MCP tools from any workflow • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Complete Coverage: Every PagerDuty Tool operation available • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n error handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.
by Gregor
This workflow offers several additional features for time tracking with Awork: Check whether time has been tracked when closing a task. If not, the task is reopened and the user is notified. This can be restricted to specific tasks using tags. Enforce a minimum time entry for tasks to comply with "at least 15-minute intervals are billed" policies. This can also be limited to specific tasks by using tags. Clean up time entries to match billing intervals. Add a start time to time entries if it is missing. This workflow does not use the Awork community nodes package, as the package does not support all required API calls and is therefore not used here. If you prefer to use that package, you can find more information at awork integration guide and replace the HTTP nodes with the corresponding community nodes where applicable. How it works Triggered via Awork Webhook call on status change of tasks and new time entries Set up steps Add webhook call to Awork (please see in-workflow notes regarding webhook configuration) Configure Awork API credentials Set up workflow configuration via setup node, e.g. user notification text, tags, enabled features etc.
by David Ashby
Complete MCP server exposing 1 Image Moderation API operations to AI agents. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Credentials Add Image Moderation credentials Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works This workflow converts the Image Moderation API into an MCP-compatible interface for AI agents. • MCP Trigger: Serves as your server endpoint for AI agent requests • HTTP Request Nodes: Handle API calls to https://api.moderatecontent.com/moderate/ • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (1 endpoints) General (1 operation) Detect Nudity in Images 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Path parameters and identifiers • Query parameters and filters • Request body data • Headers and authentication Response Format: Native Image Moderation API responses with full data structure Error Handling: Built-in n8n HTTP request error management 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Cursor: Add MCP server SSE URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n HTTP request handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.
by David Ashby
Complete MCP server exposing 4 BikeWise API v2 API operations to AI agents. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Credentials Add BikeWise API v2 credentials Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works This workflow converts the BikeWise API v2 API into an MCP-compatible interface for AI agents. • MCP Trigger: Serves as your server endpoint for AI agent requests • HTTP Request Nodes: Handle API calls to https://bikewise.org/api • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (4 total) 🔧 V2 (4 endpoints) • GET /v2/incidents: Paginated incidents matching parameters • GET /v2/incidents/{id}: GET /v2/incidents/{id} • GET /v2/locations: Unpaginated geojson response • GET /v2/locations/markers: Unpaginated geojson response with simplestyled markers 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Path parameters and identifiers • Query parameters and filters • Request body data • Headers and authentication Response Format: Native BikeWise API v2 API responses with full data structure Error Handling: Built-in n8n HTTP request error management 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Cursor: Add MCP server SSE URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n HTTP request handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.
by Oneclick AI Squad
This automated n8n workflow sets up a complete MERN Stack development environment on a Linux server by installing core technologies, development tools, package managers, global npm packages, deployment tools, build tools, and security configurations. It creates a dedicated developer user and configures essential settings for MERN projects. What is MERN Stack Setup? MERN Stack setup involves installing and configuring Node.js, MongoDB, Express.js, and React, along with additional tools and packages, to create a fully functional development environment for building MERN-based applications on a Linux system. Good to Know The workflow triggers manually and takes 10-15 minutes to complete A dedicated developer user with proper permissions is created Firewall configuration secures development ports The environment variables template is provided All tools are installed and ready for immediate use How It Works Set Parameters** - Configures server host, user, password, setup type, Node.js version, MongoDB version, username, and user password System Preparation** - Prepares the system for installation Install Node.js** - Installs Node.js (v20 by default) with npm Install MongoDB** - Installs MongoDB (v7.0 by default) with Compass & Shell Install Git & GitHub CLI** - Installs Git and GitHub CLI Install Development Tools** - Installs VS Code, Docker, Docker Compose, Postman, Nginx, Redis, and PostgreSQL Create Dev User** - Creates a development user account Install Additional Tools** - Installs package managers (npm, Yarn, pnpm), global npm packages, deployment tools, build tools, and security tools Final Configuration** - Configures firewall, SSH keys, and environment variables template Setup Complete** - Marks the completion of the setup process How to Use Import the workflow into n8n Configure parameters in the Set Parameters node (server_host, server_user, server_password, setup_type, node_version, mongodb_version, username, user_password) Run the workflow SSH into the server as the new developer user Start building MERN applications Requirements Linux server access with SSH Administrative privileges (root access) Customizing This Workflow Adjust the setup_type parameter to customize the installation scope Modify node_version or mongodb_version to use different versions Change the username and user_password for the developer account
by Vadym Nahornyi
> ⚠️ Multi-language WhatsApp Error Notifier Get instant WhatsApp alerts when any workflow fails — perfect for mobile-first monitoring and fast incident response. ✅ No coding required ✅ Works with any workflow via Error Workflow ✅ Step-by-step setup instructions included in: 🇬🇧 English 🇪🇸 Español 🇩🇪 Deutsch 🇫🇷 Français 🇷🇺 Русский 📦 What This Template Does This template sends real-time WhatsApp notifications when a workflow fails. It uses the WhatsApp Business Cloud API to deliver a preformatted error message directly to your phone. The message includes: Workflow name Error message Last executed node Example message: Error on WorkFlow: {{ $json.workflow.name }} Message: {{ $json.execution.error.message }} lastNodeExecuted: {{ $json.execution.lastNodeExecuted }} ⚙️ Prerequisites Before using this template, make sure you have: A verified Facebook Business account Access to WhatsApp Business Cloud API A sender phone number (registered in Meta) An access token (used as credentials in n8n) A pre-approved message template (or be within the 24h session window) More info from Meta Docs → 🚀 How to Use Open the template and insert your WhatsApp credentials Enter your target phone number (e.g. your own) in international format Customize the message body if needed Save the workflow but do not activate it In any other workflow → open Settings → set this as your Error Workflow 🌐 Multi-language Setup Guide Included This template includes full setup instructions with screenshots and message formatting help in: 🇬🇧 English 🇪🇸 Español 🇩🇪 Deutsch 🇫🇷 Français 🇷🇺 Русский Choose your language inside the embedded sticky note in the workflow.
by David Ashby
🛠️ Pushover Tool MCP Server Complete MCP server exposing all Pushover Tool operations to AI agents. Zero configuration needed - 1 operation pre-built. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works • MCP Trigger: Serves as your server endpoint for AI agent requests • Tool Nodes: Pre-configured for every Pushover Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Pushover Tool tool with full error handling 📋 Available Operations (1 total) Every possible Pushover Tool operation is included: 💬 Message (1 operations) • Push a message 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Resource IDs and identifiers • Search queries and filters • Content and data payloads • Configuration options Response Format: Native Pushover Tool API responses with full data structure Error Handling: Built-in n8n error management and retry logic 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • Other n8n Workflows: Call MCP tools from any workflow • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Complete Coverage: Every Pushover Tool operation available • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n error handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.
by Mark Shcherbakov
Video Guide I prepared a detailed guide that showed the whole process of integrating the Binance API and storing data in Airtable to manage funding statements associated with tokens in a wallet. Youtube Link Who is this for? This workflow is ideal for developers, financial analysts, and cryptocurrency enthusiasts who want to automate the process of managing funding statements and token prices. It’s particularly useful for those who need a systematic approach to track and report funding fees associated with tokens in their wallets. What problem does this workflow solve? Managing funding statements and token prices across multiple platforms can be cumbersome and error-prone. This workflow automates the process, allowing users to seamlessly fetch funding fees from Binance and record them alongside token prices in Airtable, minimizing manual data entry and potential discrepancies. What this workflow does This workflow integrates the Binance API with an Airtable database, facilitating the storage and management of funding statements linked to tokens in a wallet. The agent can: Fetch funding fees and current positions from Binance. Aggregate data to create structured funding statements. Insert records into Airtable, ensuring proper linkage between funding data and tokens. API Authentication: The workflow establishes authentication with the Binance API using a Crypto Node to handle API keys and signatures, ensuring secure and verified requests. Data Collection: It retrieves necessary data, including funding fees and current positions with properly formatted API requests to ensure seamless communication with Binance. Airtable Integration: The workflow inserts aggregated funding statements and token data into the corresponding Airtable records, managing token existence checks to avoid duplicate entries. Setup Set Up Airtable Database: Create an Airtable base with tables for Funding Statements and Tokens. Generate Binance API Key: Log in and create an API key with appropriate permissions. Set Up Authentication in N8N: Utilize a Crypto Node for Binance API authentication. Configure API Request to Binance: Set request method and headers for communication with the Binance API. Fetch Funding Fees and Current Positions: Retrieve funding data and current positions efficiently. Aggregate and Create Statements: Aggregate data to create detailed funding statements. Insert Data into Airtable: Input the structured data into Airtable and manage token records. Using Get Price Node: Implement a Get Price Node to maintain current token price tracking without additional setup.
by phil
This workflow automates the process of updating important Rank Math SEO fields (SEO Title, Description, and Canonical URL) directly via n8n. By leveraging a custom WordPress plugin that extends the WordPress REST API, this workflow ensures that you can programmatically manage SEO metadata for your posts and WooCommerce products efficiently. Bulk version available here. How it works: Sends a POST request to a custom API endpoint exposed by the Rank Math plugin. Updates SEO Title, Description, and Canonical URL fields for a specified post or product. Setup steps: Install and activate the Rank Math API Manager Extended plugin on WordPress. Provide the post or product ID you want to update in the workflow. Run the workflow to update the metadata automatically. Benefits: Full automation of SEO optimizations. Works for both standard posts and WooCommerce products. Simplifies large-scale SEO management tasks. To understand exactly how to use it in detail, check out my comprehensive documentation here. Rank Math API Manager Extended plugin on WordPress // ATTENTION: Replace the line below with <?php - This is necessary due to display constraints in web interfaces. <?php /** Plugin Name: Rank Math API Manager Extended v1.4 Description: Manages the update of Rank Math metadata (SEO Title, SEO Description, Canonical URL) via a dedicated REST API endpoint for WordPress posts and WooCommerce products. Version: 1.4 Author: Phil - https://inforeole.fr */ if ( ! defined( 'ABSPATH' ) ) { exit; // Exit if accessed directly. } class Rank_Math_API_Manager_Extended { public function __construct() { add_action('rest_api_init', [$this, 'register_api_routes']); } /** Registers the REST API route to update Rank Math meta fields. */ public function register_api_routes() { register_rest_route( 'rank-math-api/v1', '/update-meta', [ 'methods' => 'POST', 'callback' => [$this, 'update_rank_math_meta'], 'permission_callback' => [$this, 'check_route_permission'], 'args' => [ 'post_id' => [ 'required' => true, 'validate_callback' => function( $param ) { $post = get_post( (int) $param ); if ( ! $post ) { return false; } $allowed_post_types = class_exists('WooCommerce') ? ['post', 'product'] : ['post']; return in_array($post->post_type, $allowed_post_types, true); }, 'sanitize_callback' => 'absint', ], 'rank_math_title' => [ 'type' => 'string', 'sanitize_callback' => 'sanitize_text_field', ], 'rank_math_description' => [ 'type' => 'string', 'sanitize_callback' => 'sanitize_text_field', ], 'rank_math_canonical_url' => [ 'type' => 'string', 'sanitize_callback' => 'esc_url_raw', ], ], ] ); } /** Updates the Rank Math meta fields for a specific post. * @param WP_REST_Request $request The REST API request instance. @return WP_REST_Response|WP_Error Response object on success, or WP_Error on failure. */ public function update_rank_math_meta( WP_REST_Request $request ) { $post_id = $request->get_param('post_id'); // Secondary, more specific permission check. if ( ! current_user_can('edit_post', $post_id) ) { return new WP_Error( 'rest_forbidden', 'You do not have permission to edit this post.', ['status' => 403] ); } $fields = ['rank_math_title', 'rank_math_description', 'rank_math_canonical_url']; $results = []; $updated = false; foreach ( $fields as $field ) { if ( $request->has_param( $field ) ) { $value = $request->get_param( $field ); $current_value = get_post_meta($post_id, $field, true); if ($current_value === $value) { $results[$field] = 'unchanged'; } else { $update_status = update_post_meta( $post_id, $field, $value ); if ($update_status) { $results[$field] = 'updated'; $updated = true; } else { // This case is rare but could indicate a DB error or other failure. $results[$field] = 'failed'; } } } } if ( ! $updated && empty($results) ) { return new WP_Error( 'no_fields_provided', 'No Rank Math fields were provided for update.', ['status' => 400] ); } return new WP_REST_Response( $results, 200 ); } /** Checks if the current user has permission to access the REST API route. * @return bool */ public function check_route_permission() { return current_user_can( 'edit_posts' ); } } new Rank_Math_API_Manager_Extended(); . Phil | Inforeole