Workflow Templates

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow allows you to create and manage custom short URLs directly via Telegram, with all data stored in MongoDB, and redirects handled efficiently via Nginx. How it works This flow provides a seamless URL shortening experience: Create via Telegram: Send a long URL to your bot. It will ask if you want a custom short code. Store in MongoDB: All long URLs and their corresponding short codes are securely stored in your MongoDB instance. Fast Redirects: When a user accesses a short URL, Nginx forwards the request to a dedicated n8n webhook, which then quickly redirects them to the original long URL. Set up steps This setup is straightforward, especially if you already have a running n8n instance and a VPS. Difficulty: Medium (Basic n8n/VPS knowledge required) Estimated Time: 15-30 minutes n8n Instance & VPS: Ensure you have n8n running on your VPS (e.g., 2 core 2GB, as you have). Telegram Bot: Create a new bot via @BotFather and get your Bot Token. Add this as a Telegram credential in n8n. MongoDB Database: Set up a MongoDB instance (either on your VPS or a cloud service like MongoDB Atlas). Create a database and a collection (e.g., url or short_urls). Add your MongoDB credentials in n8n. Here's MongoDB data structure JSON: >[ {"_id": "686a11946a48b580d72d0397", "longUrl": "https://longurl.com/abcdefghijklm/", "shortUrl": "short-code"} ] Domain/Subdomain: Point a domain or subdomain (e.g., s.yourdomain.com) to your VPS IP address. This will be your short URL base. Nginx/Caddy Configuration: Configure your web server (Nginx or Caddy) on the VPS to proxy requests from your short URL domain to the n8n webhook for redirects. (Detailed Nginx config is provided as sticky notes in the redirect workflow) Workflow Setup: Import both provided n8n workflows (Telegram URL Shortener Creator and URL Redirect Handler). Activate both workflows. Crucial: Set an environment variable in your n8n instance (or .env file) named SHORTENER_DOMAIN with the value of your short URL domain (e.g., https://s.yourdomain.com). Refer to sticky notes inside the workflows for detailed node configurations and expressions.

Effortlessly track your expenses with MoneyMate, an n8n workflow that transforms receipts into organized financial insights. Upload a photo or text via Telegram, and let MoneyMate extract key details—store info, transaction dates, items, and totals—using Google Vision OCR and AI-powered parsing via OpenRouter. It categorizes expenses (e.g., Food & Beverages, Transport, Household) and delivers a clean, emoji-rich summary back to your Telegram chat. Handles zero-total errors with a friendly nudge to double-check inputs. Perfect for freelancers, small business owners, or anyone seeking hassle-free expense management. No database required, ensuring privacy and simplicity. Deploy MoneyMate and take control of your finances today! Key Features 📱 Telegram Integration: Input via photo or text, receive summaries instantly. 📸 Receipt Scanning: Converts receipt images to text using Google Vision API. 🤖 AI Parsing: Categorizes transactions with OpenRouter’s AI analysis. 🛡️ Privacy-First: Processes data on-the-fly without storage. ⚠️ Smart Error Handling: Catches zero totals with user-friendly prompts. 📊 Flexible Categories: Supports Income/Expense and custom expense types. Ideal For Budget-conscious individuals** managing personal finances. Entrepreneurs** tracking business expenses. Teams** needing quick, automated expense reporting. Pre-Requirements n8n Instance:** A running n8n instance (cloud or self-hosted). Credentials:** Telegram: A bot token and webhook setup (obtained via BotFather). For more information, please refer to Telegram bots creation Google Cloud: A service account with Google Vision API enabled and API key. For more informations, please refer to Google cloud Vision OpenRouter: An account with API access for AI language model usage. Telegram Bot:* A configured *Telegram** bot to receive inputs and send summaries. Setup Instructions Import Workflow:* Copy the *MoneyMate** workflow JSON and import it into your n8n instance using the "Import Workflow" option. Set Up Telegram Bot:* Create a bot via BotFather on *Telegram** to get a token and set up a webhook. For detailed steps, refer to n8n’s Telegram setup guide. Configure Credentials:** In the Telegram Trigger, Send Error Message, and Send Expense Summary nodes, add Telegram API credentials with your bot token. In the Get Telegram File and Download Image nodes, ensure Telegram API credentials are linked. In the Google Vision OCR node, add Google Cloud credentials with Google Vision API access. In the OpenRouter AI Model node, set up OpenRouter API credentials. Test the Workflow:* Send a test receipt photo or text (e.g., "Lunch 50,000 IDR") via *Telegram** and verify the summary in your chat. Activate:** Enable the workflow in n8n to run automatically for each input. Customization Options Add Categories:* Modify the *AI Categorizer* node to include new expense types (e.g., *Entertainment**). Change Output Format:* Adjust the *Format Summary Message** node to include more details like taxes or payment methods. Switch AI Model:* In the *OpenRouter AI Model* node, select a different *OpenRouter** model for better parsing. Store Data:* Add a *Google Sheets* node after *Parse Receipt Data** to save expense records. Enhance Errors:* Include an email notification node after *Check Invalid Input** for failed inputs. Why Choose MoneyMate? Save time, reduce manual entry, and gain clarity on your spending with MoneyMate’s AI-driven workflow. Ready to streamline your finances? Get MoneyMate now! Made by: khmuhtadin Need a custom? contact me on LinkedIn or Web

Complete MCP server exposing all Google Ads Tool operations to AI agents. Zero configuration needed - all 2 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 Google Ads Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Google Ads Tool tool with full error handling 📋 Available Operations (2 total) Every possible Google Ads Tool operation is included: 📢 Campaign (2 operations) • Get many campaigns • Get a campaign 🤖 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 Google Ads 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 Google Ads 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.

📡 This workflow serves as the central Alpha Vantage API fetcher for Tesla trading indicators, delivering cleaned 20-point JSON outputs for three timeframes: 15min, 1hour, and 1day. It is required by the following agents: Tesla 15min, 1h, 1d Indicators Tools Tesla Financial Market Data Analyst Tool ✅ Requires an Alpha Vantage Premium API Key 🚀 Used as a sub-agent via webhook endpoints triggered by other workflows 📈 What It Does For each timeframe (15min, 1h, 1d), this tool: Triggers 6 technical indicators via Alpha Vantage: RSI MACD BBANDS SMA EMA ADX Trims the raw response to the latest 20 data points Reformats into a clean JSON structure: { "indicator": "MACD", "timeframe": "1hour", "data": { "timestamp": "...", "macd": 0.32, "signal": 0.29 } } Returns results via Webhook Respond for the calling agent 📂 Required Credentials 🔑 Alpha Vantage Premium API Key Set up under Credentials > HTTP Query Auth Name: Alpha Vantage Premium Query Param: apikey Get yours here: https://www.alphavantage.co/premium/ 🛠️ Setup Steps Import Workflow into n8n Name it: Tesla_Quant_Technical_Indicators_Webhooks_Tool Add HTTP Query Auth Credential Name: Alpha Vantage Premium Param key: apikey Value: your Alpha Vantage key Publish and Use the Webhooks This workflow exposes 3 endpoints: /15minData → used by 15m Indicator Tool /1hourData → used by 1h Indicator Tool /1dayData → used by 1d Indicator Tool Connect via Execute Workflow or HTTP Request Ensure caller sends webhook trigger correctly to the path 🧱 Architecture Summary Each timeframe section includes: | Component | Details | | ------------------ | --------------------------------------------- | | 📡 Webhook Trigger | Entry node (/15minData, /1hourData, etc.) | | 🔄 API Calls | 6 nodes fetching indicators via Alpha Vantage | | 🧹 Formatters | JS Code nodes to clean and trim responses | | 🧩 Merge Node | Consolidates cleaned JSONs | | 🚀 Webhook Respond | Returns structured data to calling workflow | 🧾 Sticky Notes Overview ✅ Webhook Entry: Instructions per timeframe ✅ API Call Summary: Alpha Vantage endpoint for each indicator ✅ Format Nodes: Explain JSON parsing and cleaning ✅ Merge Logic: Final output format ✅ Webhook Response: What gets returned to caller All stickies follow n8n standard color-coding: Blue = Webhook flow Yellow = API request group Purple = Formatters Green = Merge step Gray = Workflow overview and usage 🔐 Licensing & Support © 2025 Treasurium Capital Limited Company This agent is part of the Tesla Quant AI Trading System and protected under U.S. copyright. For support: 🔗 Don Jayamaha – LinkedIn 🔗 n8n Creator Profile 🚀 Use this API tool to feed Tesla technical indicators into any AI or trading agent across 15m, 1h, and 1d timeframes. Required for all Tesla Quant Agent indicator tools.

🛠️ Dropcontact Tool MCP Server Complete MCP server exposing all Dropcontact Tool operations to AI agents. Zero configuration needed - all 2 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 Dropcontact Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Dropcontact Tool tool with full error handling 📋 Available Operations (2 total) Every possible Dropcontact Tool operation is included: 📇 Contact (2 operations) • Find B2B emails • Fetch Request Contact 🤖 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 Dropcontact 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 Dropcontact 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.

Complete MCP server exposing 1 Recommendation 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 Recommendation 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 Recommendation 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 (1 total) 🔧 Find (1 endpoints) • POST /find: Get Promoted Listings Recommendations 🤖 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 Recommendation 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.

Video Guide I prepared a detailed guide that illustrates the entire process of building an AI agent using Supabase and Google Drive within N8N workflows. Youtube Link Who is this for? This workflow is designed for developers, data scientists, and business users who wish to automate document management and enable AI-powered interactions over their stored files. It's especially beneficial for scenarios where users need to process, analyze, and retrieve information from uploaded documents rapidly. What problem does this workflow solve? Managing files across multiple platforms often involves tedious manual processes. This workflow facilitates automated file handling, making it easier for users to upload, parse, and interact with documents through an AI agent. It reduces redundancy and enhances the efficiency of data retrieval and management tasks. What this workflow does This workflow integrates Supabase storage with Google Drive and employs an AI agent to manage files effectively. The agent can: Upload files to Supabase storage and activate processes based on file changes in Google Drive. Retrieve and parse documents, converting them into a structured format for easy querying. Utilize an AI agent to answer user queries based on saved document data. Data Collection: The workflow initially gathers files from Supabase storage, ensuring no duplicates are processed in the 'files' table. File Handling: It processes files to be parsed based on their type, leveraging LlamaParse for effective data transformation. Google Drive Integration: The workflow monitors a designated Google Drive folder to upload files automatically and refresh document records in the database with new data. AI Interaction: A webhook is established to enable the AI agent to converse with users, facilitating queries and leveraging stored document knowledge. Setup Supabase Storage Setup: Create a private bucket in Supabase storage, modifying the default name in the URL. Upload your files using the provided upload options. Database Configuration: Establish the 'file' and 'document' tables in Supabase with the necessary fields. Execute any required SQL queries for enabling vector matching features. N8N Workflow Logic: Start with a manual trigger for the initial workflow segment or consider alternative triggers like webhooks. Replace all relevant credentials across nodes with your own to ensure seamless operation. File Processing and Google Drive Monitoring: Set up file processing to take care of downloading and parsing files based on their types. Create triggers to monitor the designated Google Drive folder for file uploads and updates. Integrate AI Agent: Configure the webhook for the AI agent to accept chat inputs while maintaining session context for enhanced user interactions. Utilize PostgreSQL to store user interactions and manage conversation states effectively. Testing and Adjustments: Once everything is set up, run tests with the AI agent to validate its responses based on the documents in your database. Fine-tune the workflow and AI model as needed to achieve desired performance.

🛠️ DHL Tool MCP Server Complete MCP server exposing all DHL Tool operations to AI agents. Zero configuration needed - all 1 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 DHL Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n DHL Tool tool with full error handling 📋 Available Operations (1 total) Every possible DHL Tool operation is included: 🔧 Shipment (1 operations) • Get tracking details for a shipment 🤖 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 DHL 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 DHL 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.

Automatically monitor LinkedIn posts from your community members and create AI-powered content digests for efficient social media curation. This template is perfect for community managers, content creators, and social media teams who need to track LinkedIn activity from their network without spending hours manually checking profiles. It fetches recent posts, extracts key information, and creates digestible summaries using AI. Good to know API costs apply** - LinkedIn API calls ($0.01-0.05 per profile check) and OpenAI processing ($0.001-0.01 per post) Rate limiting included** - Built-in random delays prevent API throttling issues Flexible scheduling** - Easy to switch from daily schedule to webhook triggers for real-time processing Requires API setup** - Need RapidAPI access for LinkedIn data and OpenAI for content processing How it works Daily profile scanning** - Automatically checks each LinkedIn profile in your Airtable for posts from yesterday Smart data extraction** - Pulls post content, engagement metrics, author information, and timestamps AI-powered summarization** - Creates 30-character previews of posts for quick content scanning Duplicate prevention** - Checks existing records to avoid storing the same post multiple times Structured storage** - Saves all processed data to Airtable with clean formatting and metadata Batch processing** - Handles multiple profiles efficiently with proper error handling and delays How to use Set up Airtable base** - Create tables for LinkedIn profiles and processed posts using the provided structure Configure API credentials** - Add your RapidAPI LinkedIn access and OpenAI API key to n8n credentials Import LinkedIn profiles** - Add community members' LinkedIn URLs and URNs to your profiles table Test the workflow** - Run manually with a few profiles to ensure everything works correctly Activate schedule** - Enable daily automation or switch to webhook triggers for real-time processing Requirements Airtable account** - For storing profile lists and managing processed posts with proper field structure RapidAPI Professional Network Data API** - Access to LinkedIn post data (requires subscription) OpenAI API account** - For intelligent content summarization and preview generation LinkedIn profile URNs** - Properly formatted LinkedIn profile identifiers for API calls Customising this workflow Change monitoring frequency** - Switch from daily to hourly checks or use webhook triggers for real-time updates Expand data extraction** - Add company information, hashtag analysis, or engagement trending Integrate notification systems** - Add Slack, email, or Discord alerts for high-engagement posts Connect content tools** - Link to Buffer, Hootsuite, or other social media management platforms for direct publishing Add filtering logic** - Set up conditions to only process posts with minimum engagement thresholds Scale with multiple communities** - Duplicate workflow for different LinkedIn communities or industry segments

Try It Out! This n8n template demonstrates how to build an autonomous AI news agent using Decodo MCP that automatically finds, scrapes, and delivers fresh industry news to your team via Slack. Use cases are many – automated news monitoring for your industry, competitive intelligence gathering, startup monitoring, regulatory updates, research automation, or daily briefings for your organization. How it works Define your news topics using the Set node – AI, MCP, web scraping, whatever matters to your business. The AI Agent processes those topics using the Gemini Chat Model, determining which tools to use and when. Here's where it gets interesting: Decodo MCP gives your AI agent the tools to search Google, scrape websites, and parse content automatically – all while bypassing geo-restrictions and anti-bot measures. The agent hunts for fresh articles from the last 48 hours, extracts clean data, and returns structured JSON results. Format Results cleans up the AI's messy output and removes duplicates. Your polished news digest gets delivered to Slack with clickable links and summaries. How to use Schedule trigger runs daily at 9 AM – adjust timing or swap for webhook triggers as needed. Customize topics in the Set node to match your industry. Scales effortlessly: add more topics, tweak search criteria, done. Requirements Decodo MCP credentials (free trial available) – grab the Smithery connection URL with keys and paste it straight into your n8n MCP node. Done. Gemini API key for the AI processing – drop it into the Google Gemini Chat Model node and pick whichever Gemini model fits your needs. Slack workspace for delivery – n8n's Slack integration docs have you covered. What the final output looks like Here's what your team receives in Slack every morning: Need help? Join the Discord or email support@decodo.com for questions. Happy Automating!

Complete MCP server exposing all DeepL Tool operations to AI agents. Zero configuration needed - all 1 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 DeepL Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n DeepL Tool tool with full error handling 📋 Available Operations (1 total) Every possible DeepL Tool operation is included: 🔧 Language (1 operations) • Translate a language 🤖 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 DeepL 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 DeepL 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.

Complete MCP server exposing all Google Translate Tool operations to AI agents. Zero configuration needed - all 1 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 Google Translate Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Google Translate Tool tool with full error handling 📋 Available Operations (1 total) Every possible Google Translate Tool operation is included: 🔧 Language (1 operations) • Translate a language 🤖 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 Google Translate 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 Google Translate 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.