by David Ashby
Complete MCP server exposing 3 Search Services 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 Search Services 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 Search Services 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.archive.org • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (3 total) 🔧 Search (3 endpoints) • GET /search/v1/fields: Fields that can be requested • GET /search/v1/organic: Return relevance-based results from search queries • GET /search/v1/scrape: Scrape search results from Internet Archive, allowing a scrolling cursor 🤖 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 Search Services 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 Nick Saraev
Complete AI Graphic Design Suite with OpenAI, Replicate & Google Drive Categories: AI Agents, Design Automation, Business Tools This workflow creates a complete AI-powered graphic design system that replaces expensive designers with intelligent automation. Featuring a conversational AI agent that orchestrates 5 specialized design tools, this suite can generate logos, style guides, gradients, and revisions on demand. Built by someone who's scaled automation agencies to $72K/month, this system demonstrates how AI agents can deliver real business value beyond simple chatbots. Benefits Complete Design Automation** - Generate logos, style guides, gradients, and revisions through natural conversation Conversational AI Interface** - Chat-based interaction makes design accessible to non-designers Professional Quality Output** - Uses advanced AI models and proven templates for consistent results Instant Delivery** - Generate designs in seconds vs. days of traditional design processes Scalable Business Tool** - Deploy for clients, embed on websites, or use internally Cost-Effective Solution** - Replace $82K/year designers with $30/month automation How It Works AI Agent Orchestration: Central conversational AI that understands design requests in natural language Automatically selects the right tool based on user needs and context Maintains conversation memory for iterative design improvements Provides professional, helpful responses with design expertise Logo Generation System: Creates professional logos using OpenAI's advanced image generation Supports various styles: minimalistic, corporate, creative, and industry-specific Automatically uploads to Google Drive with shareable links Perfect for startups, rebranding projects, and client work Style Guide Creation: Generates comprehensive brand guidelines using template-based approach Includes color palettes, typography, logo usage, and brand elements Uses AI to customize templates with client-specific information Delivers presentation-ready style guides for professional use Gradient Background Generator: Creates beautiful background gradients for websites and marketing materials Uses proven design templates with AI-powered customization Generates multiple variations and color combinations Perfect for landing pages, social media, and brand materials Design Editor & Revision System: Intelligently revises existing designs based on feedback Handles both Google Drive files and external image URLs Maintains design consistency while implementing requested changes Supports iterative improvements and client feedback cycles Advanced Upscaling Integration: Uses Replicate API to enhance image quality up to 4x resolution Professional print-quality output for all generated designs Seamlessly integrates with all design generation tools Perfect for high-resolution marketing materials and presentations Required Setup Configuration OpenAI API Setup: Connect your OpenAI API for: GPT-4 conversation handling and design guidance DALL-E (4o) image generation for all design tools Intelligent prompt processing and tool selection Google Drive Integration: Create template files for style guides and examples Set up OAuth credentials for file management Configure sharing permissions for client access Organize folders for different design categories Replicate API Configuration: Set up account for image upscaling capabilities Replace <your-replicate-api-key-here> with actual API key Configure upscaling factors (2x or 4x options) AI Agent System Message: Configure the agent with business context: You are a helpful, intelligent design assistant. You generate high-quality designs using the provided tools (generate logo, generate style guide, and generate gradient background). Then you can also upscale them, and finally, you can revise them. When you receive an image from a tool, wrap it in nice looking Markdown (atx) format and present it to the user. The only things you can generate are logos, style guides, and gradient backgrounds. Make sure to clarify which (as well as any additional information needed) so the prompt you send to the image model is optimal. If you are asked to adjust or revise an image, ask the user to define their changes as explicitly as possible. Chat Integration Options: Embedded website chat widget for client-facing design services Direct chat interface for internal team use Hosted chat endpoint for external integrations Business Use Cases Design Agencies** - Offer automated design services with instant delivery and unlimited revisions Marketing Teams** - Generate brand assets, social media graphics, and campaign materials on demand Startups** - Create professional branding without expensive design budgets Consultants** - Provide design services as value-added offerings to clients Web Developers** - Offer integrated design services alongside development projects E-commerce Businesses** - Generate product graphics, banners, and promotional materials Revenue Potential This system transforms design service economics: Replace $82K/year designers** with $30/month automation costs Instant delivery advantage** - complete designs in minutes vs. days Unlimited revisions** without additional designer time costs Premium service offering** - charge $1,500-5,000 per client implementation Scalable white-label solution** for agencies and consultants 24/7 availability** for time-sensitive client requests Difficulty Level: Intermediate Estimated Build Time: 2-3 hours Monthly Operating Cost: ~$30 (OpenAI + Replicate APIs) Watch My Complete Build Process Want to see exactly how I built this entire AI design system from scratch? I walk through the complete development process, including AI agent setup, tool integration, and the business strategy behind replacing expensive designers with intelligent automation. 🎥 Watch My Live Build: "This AI Agent Replaces an $82k/yr Graphic Designer (N8N)" This comprehensive tutorial shows the real development approach - including agent design patterns, tool orchestration, and the exact prompting strategies that deliver professional-quality results. Set Up Steps Core AI Agent Configuration: Set up chat trigger with embedded and hosted options Configure OpenAI chat model with design-focused system prompts Add memory buffer for conversation context and design iterations Design Tool Integration: Configure all 5 specialized design workflows as callable tools Set up proper data flow between agent and design generators Test tool selection logic with various design requests Template and Asset Management: Upload design templates to Google Drive for style guide generation Configure file sharing permissions for client access Set up organized folder structure for different design types Quality Control Setup: Test complete design workflows from request to delivery Validate AI output quality across all design categories Optimize prompts and templates based on actual usage patterns Client Integration Options: Embed chat widget on client websites for design services Set up hosted endpoints for external system integration Configure branding and messaging for client-facing interactions Advanced Extensions Scale the system with additional capabilities: Industry-Specific Templates** - Customize design styles for different verticals Brand Consistency Engine** - Maintain design standards across all generated assets Client Portal Integration** - Automated design delivery with approval workflows Multi-Language Support** - Generate designs with international text and cultural considerations Advanced Analytics** - Track design performance and client satisfaction metrics Print Production Tools** - Generate print-ready files with proper color profiles and dimensions Why This System Works The competitive advantage lies in intelligent automation combined with professional quality: Natural conversation interface** eliminates design tool complexity Template-based generation** ensures consistent, professional results Instant iteration capability** allows real-time design improvements Cost advantage** enables competitive pricing while maintaining margins 24/7 availability** provides service levels impossible with human designers Scalable delivery** handles multiple clients simultaneously without quality degradation Check Out My Channel For more advanced AI automation systems that generate real business results, explore my YouTube channel where I share the exact strategies used to build successful automation agencies and scale to $72K+ monthly revenue.
by Oskar
This workflow uses OpenAI Assistant to compose draft replies for labeled email messages. It automatically connects the drafts to Gmail threads. 💡 You can add knowledge base to your OpenAI Assistant and make your reply drafts very customized (e.g. compose response with product information in response to inquiry from customer). 🎬 See this workflow in action in my YouTube video about automating Gmail. How it works? The workflow is triggered at regular intervals (default: every 1 minute – you can change this value) to check for messages with a specific label (e.g., "AI"). The content of the retrieved email message is then forwarded to the OpenAI Assistant node, and a reply draft is generated. Next, the response from the Assistant is converted to HTML, and a raw message in RFC standard is composed. 💡 You can learn more about composing drafts with the Gmail API in the official Google documentation. The raw email message (reply draft) is encoded and attached to the original thread ID. Finally, the trigger label (in this case: "AI") is removed to prevent the workflow from looping. Set up steps Set credentials for Gmail and OpenAI. Add new label in Gmail account for messages that should be handled by the workflow (e.g. name it "AI"). Select this label in the first and last Gmail nodes in workflow. Create and configure your OpenAI Assistant. Select your assistant in "OpenAI Assistant" node. Optionally: change trigger interval (by default interval is 1 minute). If you like this workflow, please subscribe to my YouTube channel and/or my newsletter.
by David Ashby
Complete MCP server exposing 2 Mobility 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 Mobility API 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 Mobility 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://developer.o2.cz/mobility/sandbox/api • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (2 total) 🔧 Info (1 endpoints) • GET /info: Retrieve Application Info 🔧 Transit (1 endpoints) • GET /transit/{from}/{to}: Transit between basic residential units 🤖 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 Mobility 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 Zacharia Kimotho
How it works This workflow gets the search console results data and exports this to google sheets. This makes it easier to visualize and do other SEO related tasks and activities without having to log into Search Console Setup and use Set your desired schedule Enter your desired domain Connect to your Google sheets or make a copy of this sheet. Detailed Setup Inputs and Outputs:** Input: API response from Google Search Console regarding keywords, page data, and date data. Output: Entries written to Google Sheets containing keyword data, clicks, impressions, CTR, and positions. Setup Instructions: Prerequisites:** An n8n instance set up and running. Active Google Account with access to Google Search Console and Google Sheets. Google OAuth 2.0 credentials for API access. Step-by-Step Setup:** Open n8n and create a new workflow. Add the nodes as described in the JSON. Configure the Google OAuth2 credentials in n8n to enable API access. Set your domain in the Set your domain node. Customize the Google Sheets document URLs to your personal sheets. Adjust the schedule in the Schedule Trigger node as per your requirements. Save the workflow. Configuration Options:** You can customize the date ranges in the body of the HttpRequest nodes. Adjust any fields in the Edit Fields nodes based on different data requirements. Use Case Examples: Useful in tracking website performance over time using Search Console metrics. Ideal for digital marketers, SEO specialists, and web analytics professionals. Offers value in compiling performance reports for stakeholders or team reviews. Running and Troubleshooting: Running the Workflow:** Trigger the workflow manually or wait for the schedule to run it automatically. Monitoring Execution:** Check the execution logs in n8n's dashboard to ensure all nodes complete successfully. Common Issues:** Invalid OAuth credentials – ensure credentials are set up correctly. Incorrect Google Sheets URLs – double-check document links and permissions. Scheduling conflicts – make sure the schedule set does not overlap with other workflows.
by Jimleuk
This n8n template scrapes a list of AI grants from grants.gov and qualifies them using AI; determining interest and eligibility for the business. It then sends an email alert of interesting items to team members in an email. The template also shows how you can use the "Remove Duplicates" node to simplify deduplication of external listings without the need to manage this yourself. Not particularly interested in AI Grants? This template works for other tender websites as long as you're able to scrape them. How it works A scheduled trigger is set to fetch a list of AI grants listed on the grants.gov website in the past day. A Remove Duplicates node is used to track Grant IDs to filter out those already processed by the workflow. New grants are summarized and analysed by AI nodes to determine eligibility and interest which is then saved to an Airtable database. Another scheduled trigger starts a little later than the first to collect and summarize the new grants The results are then compiled into an email template using the HTML node, in the form of a newsletter designed to alert and brief team members of new AI grants. This email is then sent to a list of subscribers using the gmail node. How to use Make a copy of sample Airtable here: https://airtable.com/appiNoPRvhJxz9crl/shrRdP6zstgsxjDKL The filters for fetching the grants is currently set to the "AI" category. Feel free to change this to include more categories. Not interested in grants, this template can works for other sources of leads just change the endpoint and how you're defining the item ID to track. Requirements Airtable for database OpenAI for LLM Note: These are not hard requirements and can be exchanged for services available to you. customising the workflow "Eligibility" criteria at this stage may be better served by identifying hard blockers instead ie. certifications, geographical considerations or certain legal checks. Be sure to mention any hard blockers into the Eligibility prompt. Not particularly interested in AI prompts? This template works for other tender websites as long as you're able to scrape them.
by KlickTipp
Community Node Disclaimer: This workflow uses KlickTipp community nodes. How It Works Enhanced Calendly Integration: This workflow processes bookings and cancellations in Calendly, dynamically managing invitee and guest data with KlickTipp. Data Transformation: Dates and times are converted into formats (UNIX timestamps) compatible with KlickTipp’s API, ensuring seamless data integration. Key Features Calendly Trigger: Captures new bookings or cancellations of events, including participant details. Invitee and Guest Subscription in KlickTipp: Adds or updates invitees and guests in KlickTipp based on booking details (event name, time, join link, reschedule link, cancel link, etc.). Tracks and processes cancellations for both invitees and guests. Handles rescheduling intelligently to avoid redundant operations. Guest-Specific Operations: Processes guests individually for bookings and cancellations using dynamic arrays of email addresses. Recovers guest data from invitee records for cancellations since Calendly does not provide guest data upon cancellation. Data Processing: Standardizes and validates input fields Converts phone numbers to numeric-only format with international prefixes. Transforms dates into UNIX timestamps. Reads out the name of the invitee based on both possible input fields for name (name vs. firstname and lastname field setup). Error Handling: Validates critical fields like phone numbers, URLs, and dates to prevent incorrect data submissions. Setup Instructions Authentication: Set up the Calendly and KlickTipp nodes in your n8n instance. Configure authentication for both Calendly and KlickTipp nodes. Custom Field Preparation in KlickTipp: Create the following custom fields in KlickTipp to align with workflow requirements: | Feld-Name | Feld-Typ | |----------------------------------|------------------| | Calendly_event_name | Zeile | | Calendly_join_url | URL | | Calendly_reschedule_url | URL | | Calendly_cancel_url | URL | | Calendly_event_start_datetime | Datum & Zeit | | Calendly_event_end_datetime | Datum & Zeit | | Calendly_invitee_start_date | Datum | | Calendly_invitee_end_date | Datum | | Calendly_invitee_start_time | Zeit | | Calendly_invitee_end_time | Zeit | | Calendly_invitee_timezone | Zeile | | Calendly_invitee_guests_adresses| Zeile | After creating fields, allow 10-15 minutes for them to sync. If fields don’t appear, reconnect your KlickTipp credentials. Field Mapping and Adjustments: Open each KlickTipp node and map fields to match your setup. The workflow includes placeholders for: Invitee details (first name, last name, email, and phone). Event details (start/end times, timezone, etc.). Workflow Logic Trigger via Calendly event Booking: A new form event booking or cancellation from Calendly initiates the workflow Data Transformation: Processes raw Calendly event data to ensure compatibility with KlickTipp’s API. Add to KlickTipp Subscriber List: Adds invitees and guests to the designated KlickTipp list, including event-specific details. Benefits Efficient lead generation: Contacts from event bookings are automatically imported into KlickTipp and can be used immediately, saving time and increasing the conversion rate. Automated processes: Experts can start workflows directly, such as reminder emails or course admissions, reducing administrative effort. Error-free data management: The template ensures precise data mapping, avoids manual corrections and reinforces a professional appearance. Testing and Deployment Test the workflow by triggering a Calendly event and verifying data updates in KlickTipp. Notes: Customization: Update field mappings within the KlickTipp nodes to align with your account setup. This ensures accurate data syncing. Resources: Calendly KlickTipp Knowledge Base help article Use KlickTipp Community Node in n8n Automate Workflows: KlickTipp Integration in n8n
by David Ashby
Complete MCP server exposing 2 Negotiation 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 Negotiation API 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 Negotiation 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.ebay.com{basePath} • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (2 total) 🔧 Find_Eligible_Items (1 endpoints) • GET /find_eligible_items: Find Eligible Listings 🔧 Send_Offer_To_Interested_Buyers (1 endpoints) • POST /send_offer_to_interested_buyers: Send Discount Offer 🤖 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 Negotiation 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 Aitor | 1Node
Stay ahead of the curve and keep your followers informed—automatically. This n8n workflow uses Perplexity AI to generate insightful answers to scheduled queries, then auto-posts the responses directly to X (Twitter). ⚙️ What this workflow does Scheduled Trigger – Runs at set times (daily, hourly, etc.). searchQuery – Define what kind of trending or relevant insight you want (e.g. “latest AI trends”). set API Key – Securely insert your Perplexity API key. Perplexity API Call – Fetches a short, insightful response to your query. Post to X – Automatically publishes the result as a tweet. 🧩 Requirements An n8n account (self-hosted or cloud) A Perplexity API key A connected X (Twitter) account via n8n’s credentials ✅ Setup Steps Add this workflow into your n8n account. Edit the searchQuery node with a topic (e.g. “What’s new in ecommerce automation?”). Paste your Perplexity API key into the set API key node. Connect your X (Twitter) account in the final node. Adjust the schedule timing to suit your content frequency. 💡 Ideas to Improve 💬 Add a formatting step to shorten or hashtag the response. 📊 Pull multiple trending questions and auto-schedule posts. 🔁 Loop responses to queue a full week of content. 🌐 Translate content before posting to reach a global audience. 🆘 Need help? Feel free to contact us at 1 Node. Get instant access to a library of free resources we created.
by Mark Shcherbakov
Video Guide I prepared a comprehensive guide detailing how to automate the parsing of invoices using n8n and LlamaParse, seamlessly capturing and storing vital billing information. Youtube Link Who is this for? This workflow is ideal for finance teams, accountants, and business operations managers who need to streamline invoice processing. It is particularly helpful for organizations seeking to reduce manual entry errors and improve efficiency in managing billing information. What problem does this workflow solve? Manually processing invoices can be time-consuming and error-prone. This automation eliminates the need for manual data entry by capturing invoice details directly from uploaded documents and storing structured data efficiently. This enhances productivity and accuracy across financial operations. What this workflow does The workflow leverages n8n and LlamaParse to automatically detect new invoices in a designated Google Drive folder, parse essential billing details, and store the extracted data in a structured format. The key functionalities include: Real-time detection of new invoices via Google Drive triggers. Automated HTTP requests to initiate parsing through Lama Cloud. Structured storage of invoice details and line items in a database for future reference. Google Drive Integration: Monitors a specific folder in Google Drive for new invoice uploads. Parsing with LlamaParse: Automatically sends invoices for parsing and processes results through webhooks. Data Storage in Airtable: Creates records for invoices and their associated line items, allowing for detailed tracking. Setup N8N Workflow Google Drive Trigger: Set up a trigger to detect new files in a specified folder dedicated to invoices. File Upload to LlamaParse: Create an HTTP request that sends the invoice file to LlamaParse for parsing, including relevant header settings and webhook URL. Webhook Processing: Establish a webhook node to handle parsed results from LlamaParse, extracting needed invoice details effectively. Invoice Record Creation: Create initial records for invoices in your database using the parsed details received from the webhook. Line Item Processing: Transform string data into structured line item arrays and create individual records for each item linked to the main invoice.
by Angel Menendez
Analyze & Sort Suspicious Email Contents with ChatGPT and Jira Who is this for? This workflow is tailored for IT security teams, managed service providers (MSPs), and organizations aiming to streamline the detection and reporting of phishing emails. It's especially useful for teams handling high email volumes and requiring quick, automated analysis. What problem is this workflow solving? Phishing emails pose a significant cybersecurity threat, and manual review processes are time-consuming and prone to human error. This workflow automates the identification of malicious emails, provides AI-driven insights, and generates structured reports, enabling faster and more efficient responses to email-based threats. What this workflow does This workflow integrates Gmail or Microsoft Outlook to monitor and capture incoming emails. It processes the email content and headers, converts the email's body to a visual screenshot for clarity, and uses ChatGPT's advanced AI to analyze the email for phishing indicators. Based on the analysis, it categorizes emails as potentially malicious or benign, creating detailed Jira tickets for each case. Attachments, including the email body and screenshots, are automatically uploaded for comprehensive reporting. Key steps include: Email Integration: Captures emails from Gmail or Microsoft Outlook. Content Processing: Extracts and organizes email content and metadata. AI Analysis: Uses ChatGPT to evaluate email content and headers. Classification: Categorizes emails as malicious or benign. Automated Reporting: Creates Jira tickets with detailed analysis and attachments. Setup Authentication: Configure Gmail or Microsoft Outlook credentials in n8n. API Keys: Add credentials for the HTML screenshot service (hcti.io) and OpenAI. Jira Configuration: Set up project and issue types in the Jira nodes. Customization: Update sticky notes and nodes to fit your organizational requirements, such as modifying the AI prompt or Jira ticket fields. How to customize this workflow to your needs Adjust email triggers to include or exclude specific senders or subjects. Refine the AI prompt in the ChatGPT node to tailor phishing detection criteria. Modify Jira ticket content to include additional fields or match specific workflows. This workflow is ideal for automating email threat detection, reducing response times, and enhancing overall cybersecurity processes. By leveraging AI-powered insights, it helps organizations stay ahead of phishing attacks.
by Lucas Peyrin
How it works This template is an interactive, hands-on tutorial designed to demystify what an API is and how it works, right inside your n8n canvas. It uses a simple restaurant analogy to explain the core concepts: You* are the "Client" (an *HTTP Request** node). The Kitchen is the "Server" (a Webhook node). The API is the Menu and the Waiter—the set of rules for how you can ask for things and get a response. The workflow is a series of self-contained lessons. Each lesson pairs an HTTP Request node (the customer placing an order) with a Webhook node (the kitchen receiving and responding to the order) to demonstrate a key concept: The Basics: Making a simple GET request to a URL. Customizing: Using Query Parameters to filter or modify your request. Sending Data: Using the POST method and a Body to send information to the server. Identification: Using Headers and simple Authentication to prove who you are. Handling Delays: Understanding how Timeouts prevent your workflow from getting stuck. Set up steps Setup time: < 1 minute This workflow is a self-contained tutorial and requires no external services or credentials. You may want to check the Base URL. Click "Execute Workflow" to run the entire tutorial. Follow the flow from top to bottom, exploring each "Lesson". For each lesson, click on the HTTP Request node and its corresponding Webhook node to see how they are configured and what they do. Read the sticky notes next to each lesson—they contain the core explanations! That's it! Explore and have fun learning the fundamentals of APIs in an interactive way.