AI Workflows
Artificial Intelligence tools and workflows
Server Disk Usage Monitor with SMS Alerts
Monitors Linux server disk usage twice daily via cron, alerts via Twilio SMS if over 80% full, preventing data loss and downtime.
n8n$9.99Automate Children's Storytelling on Telegram with OpenAI
Harness the power of AI to create and share captivating children's stories on Telegram, enhancing creativity and engagement.
n8n$9.99Automate Favicon Selection with AI Vision Analysis
Automatically fetch and analyze favicons from multiple sources using AI to select the highest quality icon for directory listings, saving time and ensuring professional presentation.
n8n$14.99Automate Image Analysis and Text Extraction via Telegram with AIMLAPI
This workflow enables teams to automatically analyze images and extract text from photos sent via Telegram. By leveraging AIMLAPI's vision capabilities, users receive concise image descriptions and OCR text without needing custom servers.
n8n$14.99Automate AI-Powered Telegram Chat Summaries
Effortlessly generate AI-driven summaries of your Telegram chats to stay informed on key discussions without reading every message. Ideal for community managers and team leads.
n8n$14.99EPA Environmental Compliance Data API for AI Agents with MCP Server
Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator? [Join the community](https://www.skool.com/beyond-nodes-automation-lab-2006/about) Complete MCP server exposing 16 U.S. EPA Enforcement and Compliance History Online (ECHO) - Resource Conservation and Recovery Act API operations to AI agents. ## Quick Setup 1. **Import** this workflow into your n8n instance 2. **Credentials** Add U.S. EPA Enforcement and Compliance History Online (ECHO) - Resource Conservation and Recovery Act credentials 3. **Activate** the workflow to start your MCP server 4. **Copy** the webhook URL from the MCP trigger node 5. **Connect** AI agents using the MCP URL ## How it Works This workflow converts the U.S. EPA Enforcement and Compliance History Online (ECHO) - Resource Conservation and Recovery Act API into an MCP-compatible interface for AI agents. - **MCP Trigger**: Serves as your server endpoint for AI agent requests - **HTTP Request Nodes**: Handle API calls to https://echodata.epa.gov/echo - **AI Expressions**: Automatically populate parameters via `$fromAI()` placeholders - **Native Integration**: Returns responses directly to the AI agent ## Available Operations (16 total) ### Rcra_Rest_Services.Get_Download (2 endpoints) - **GET /rcra_rest_services.get_download**: Request RCRA Data Download - **POST /rcra_rest_services.get_download**: Resource Conservation and Recovery Act (RCRA) Download Data Service ### Rcra_Rest_Services.Get_Facilities (2 endpoints) - **GET /rcra_rest_services.get_facilities**: Request RCRA Facility Search - **POST /rcra_rest_services.get_facilities**: Resource Conservation and Recovery Act (RCRA) Facility Search Service ### Rcra_Rest_Services.Get_Facility_Info (2 endpoints) - **GET /rcra_rest_services.get_facility_info**: Request RCRA Facility Details - **POST /rcra_rest_services.get_facility_info**: Resource Conservation and Recovery Act (RCRA) Facility Enhanced Search Service ### Rcra_Rest_Services.Get_Geojson (2 endpoints) - **GET /rcra_rest_services.get_geojson**: Request RCRA GeoJSON Data - **POST /rcra_rest_services.get_geojson**: Resource Conservation and Recovery Act (RCRA) GeoJSON Service ### Rcra_Rest_Services.Get_Info_Clusters (2 endpoints) - **GET /rcra_rest_services.get_info_clusters**: Request RCRA Info Clusters - **POST /rcra_rest_services.get_info_clusters**: Resource Conservation and Recovery Act (RCRA) Info Clusters Service ### Rcra_Rest_Services.Get_Map (2 endpoints) - **GET /rcra_rest_services.get_map**: Request RCRA Map Data - **POST /rcra_rest_services.get_map**: Resource Conservation and Recovery Act (RCRA) Map Service ### Rcra_Rest_Services.Get_Qid (2 endpoints) - **GET /rcra_rest_services.get_qid**: Request RCRA Paginated Results - **POST /rcra_rest_services.get_qid**: Resource Conservation and Recovery Act (RCRA) Paginated Results Service ### Rcra_Rest_Services.Metadata (2 endpoints) - **GET /rcra_rest_services.metadata**: Request RCRA Metadata - **POST /rcra_rest_services.metadata**: Resource Conservation and Recovery Act (RCRA) Metadata Service ## 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 U.S. EPA Enforcement and Compliance History Online (ECHO) - Resource Conservation and Recovery Act 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](https://github.com/Cfomodz/community-use)!** Ready to deploy in under 2 minutes.
n8n$14.99Use Any LangChain Module in n8n (With the LangChain Code Node)
[LangChain](https://www.langchain.com/) is a framework for building AI functionality that uses large language models. By leveraging the functionality of LangChain, you can write even more powerful workflows. This workflow shows how you can write LangChain code within n8n, including importing LangChain modules. The workflow itself produces a summary of a YouTube video when given the video's ID. Note that to use this template, you need to be on n8n version 1.19.4 or later.
n8n$4.99Automate Multi-LLM Testing and Performance Tracking with LM Studio
This workflow enables developers and researchers to automate the benchmarking of multiple local LLMs using LM Studio. It dynamically fetches active models, tests prompts, and logs performance metrics such as word count, readability, and response time into Google Sheets.
n8n$14.99Detect and Store Information About a Purchase Using the Image of a Receipt
This n8n workflow receives a receipt image through a webhook, extracts purchase details using Mindee’s OCR, and stores the parsed information in Airtable. It’s designed for anyone who needs to automate expense tracking or receipt logging without manual data entry.
n8n$4.99Optimize AI Chat Efficiency with Redis and GPT-4-mini
Enhance AI chat interactions by intelligently buffering rapid user messages, reducing processing bottlenecks, and maintaining conversation context using Redis and GPT-4-mini.
n8n$14.99Automate Brand Story Creation and Optimization with Ollama and Google Sheets
This n8n workflow automates the generation, evaluation, and optimization of brand stories using Ollama-hosted LLMs and LangChain agents, saving finalized stories to Google Sheets.
n8n$9.99Automate AI-Powered Responses for LINE Chatbot with Groq and Llama3
Enhance your LINE chatbot with AI-driven responses using Groq's API and Meta's Llama3 model to handle complex text interactions seamlessly.
n8n$9.99Automate Humantic AI Profile Management with MCP Server
Deploy a complete MCP server to manage Humantic AI profiles, enabling AI agents to create, retrieve, and update profiles seamlessly with zero configuration.
n8n$4.99Generate Diverse Names for UX/UI Mockups with OpenAI
This template demonstrates how to build an AI-powered name generator that creates realistic names perfect for UX/UI designers, developers, and content creators. **Use cases:** User persona creation, mockup development, prototype testing, customer testimonials, team member listings, app interface examples, website content, accessibility testing, and any scenario requiring realistic placeholder names. ## How it works - **AI-Powered Generation:** Uses any LLM to generate names based on your specifications. - **Customizable Parameters:** Accepts gender preferences, name count, and optional reference names for style matching. - **UX/UI Optimized:** Names are specifically chosen to work well in design mockups and prototypes. - **Smart Formatting:** Returns clean JSON arrays ready for integration with design tools and applications. - **Reference Matching:** Can generate names similar in style to a provided reference name. ## How to set up 1. Replace Dummy API credentials with your preferred language model API key. 2. Update webhook path and authentication as needed for your application. 3. Test with different parameters: gender (masculine/feminine/neutral), count (1-20), reference_name (optional). 4. Integrate webhook URL with your design tools, Bubble apps, or other platforms. ## Requirements - LLM API access (OpenAI, GPT-3, or other language models). - n8n instance (cloud or self-hosted). - Platform capable of making HTTP POST requests. ## API Usage POST to webhook with JSON body: ```json { "gender": "masculine", "count": 5, "reference_name": "Alex Chen" // optional } ``` Response: ```json { "success": true, "names": ["Marcus Johnson", "David Kim", "Sofia Rodriguez", "Chen Wei", "James Wilson"], "count": 5 } ``` ## How to customize - Modify AI prompt for specific naming styles or regions. - Add additional parameters (age, profession, cultural background). - Connect to databases for persistent name storage. - Integrate with design tools APIs (Figma, Sketch, Adobe XD). - Create batch processing for large mockup projects.
n8n$9.99Integrate Notion API with AI Agents via MCP Server
Transform the Notion API into an MCP-compatible interface for seamless integration with AI agents, enabling 13 different operations.
n8n$14.99Remove background in images from Google Photos and upload them back to Google Photos
When an image is added to a monitored album in Google Photos, Picsart automatically removes the background and re-uploads the processed image back to Google Photos album. This template was created by Picsart and not tested by Make. For any inquiries about the template, please reach out to the template creator: apidevsupport@picsart.com.
Make$4.99Automate Telegram Updates to Google Sheets with ChatGPT Responses
Streamline your workflow by automatically sending Telegram updates to Google Sheets and generating responses using ChatGPT. Enhance communication and data management with this seamless integration.
Make$4.99YouTube Comment Sentiment Analyzer with Google Sheets & OpenAI
# YouTube Comment Sentiment Analyzer with Google Sheets & OpenAI --- ### Who Should Use This? Influencers, marketers, and data teams who need **instant insights** into audience sentiment without manual exports or scattered tools. --- ### The Challenge - **Manual exports** from YouTube Studio - **Time-consuming** sentiment tagging - **Data scattered** across multiple platforms Our workflow automates **everything**: from fetching comments to logging analysis—so you can focus on insights, not spreadsheets. --- ### What You'll Get 1. **Dynamic Input** Read a list of YouTube URLs from your Google Sheet. 2. **Full Comment Harvest** Pull **all** top-level comments (handles pagination 100/page). 3. **Deep Sentiment Scan** Classify each comment as **Positive**, **Neutral**, or **Negative** using OpenAI. 4. **Smart Formatting** Capture metadata (author, likes, timestamp) alongside sentiment. 5. **Seamless Storage** Append or update rows in your Google Sheet—ready for reporting. --- ### Easy Setup 1. **Prepare Google Sheet** - Create a sheet with a `video_urls` column (full YouTube links). - Add and authorize a Google Sheets OAuth or service-account credential in n8n. 2. **Enable YouTube API** - Activate Data API v3 in Google Cloud, grab an API key, and save as an HTTP credential in n8n. 3. **Configure OpenAI** - Enter your API key under the “OpenAI Chat” credential in n8n. 4. **Import the Workflow** - Paste the provided JSON into n8n. 5. **Run Manually** - Use the **Manual Trigger** node to start fetching and analyzing comments on demand. --- ### Customize to Your Needs - **Filter Comments**: Add an IF node to process only comments with specific keywords or minimum likes. - **Automate Schedule**: Swap the Manual Trigger for a Cron node if you later want periodic runs. - **Extended Analysis**: Swap sentiment classification for topic extraction, summarization, or translation by tweaking the LLM prompt. - **Alternate Destinations**: Replace Google Sheets with Airtable, Notion, or any database node. --- ### Tags ``YouTube`` ``Google Sheets`` ``OpenAI`` ``Sentiment Analysis`` ``n8n`` ``Manual Trigger``
n8n$14.99API that Extracts Engaging Moments from YouTube Videos
# How it works This template takes a YouTube video ID and identifies potentially engaging moments based on the intensity of specific timestamps.  Ideal for vloggers and YouTube content creators, it serves as a foundation for various automations to streamline content calendars or highlight popular moments in your videos. You can leverage it for: - Automatic processes to analyze YouTube videos and create sizzle reels or clips for social media, particularly effective for microcontent strategies like those endorsed by Gary Vee. - Instant alerts via Slack, Telegram, Email, or WhatsApp when significant moments occur in your videos. - Utilizing transcripts of these moments with AI to refine content ideas or brainstorm chatbots in your editorial workflow. ### Example response from the Workflow-as-an-API A GET request to `{your instance URL}/webhook/youtube-engaging-moments-extractor?ytID=IZsQqarWXtYy` returns  The workflow generates multiple moments; the screenshot above shows a truncated version. Not all videos contain timestamp intensity data, the workflow handles this case as well.  # How to use 1. Import the template into your n8n workspace or self-hosted instance, then activate the workflow. 2. Open the Webhook trigger node and copy the Production URL. 3. In a web browser or any tool capable of consuming HTTP Requests (e.g., native code, Bubble app, n8n workflow, another automation tool, Postman, etc.), pass along the URL parameter `?ytID={youtube video ID}` when invoking the API endpoint. Your URL should resemble something like `https://acme.app.n8n.cloud/webhook/youtube-engaging-moments-extractor?ytID=IZsQqarWXtYy`. **Keep in mind** This workflow relies on an unofficial YouTube API graciously hosted for free by the folks at lemnoslife.com. It's not recommended for high-volume production use cases.
n8n$14.99Tesla 1-Hour Indicators Tool (Mid-Term Technical Analysis AI)
**Evaluate Tesla (SLA) price action and market structure on the 1-hour timeframe using 6 real-time indicators.** This sub-agent is designed to feed **mid-term technical insights** into the [Tesla Financial Market Data Analyst Tool](https://n8n.io/workflows/4094-tesla-financial-market-data-analyst-tool-multi-timeframe-technical-ai-agent/). It uses **GPT-4.1** to interpret Alpha Vantage indicator data delivered via secure webhooks. This workflow is **not standalone** and is executed via `Execute Workflow`. **Requires:** - [Tesla Quant Technical Indicators Webhooks Tool](https://n8n.io/workflows/4095-tesla-quant-technical-indicators-webhooks-tool/) - `Alpha Vantage Premium API Key` --- ## Connected Indicators This tool fetches and analyzes the **latest 20 datapoints** for: - **RSI (Relative Strength Index)** - **MACD (Moving Average Convergence Divergence)** - **BBANDS (Bollinger Bands)** - **SMA (Simple Moving Average)** - **EMA (Exponential Moving Average)** - **ADX (Average Directional Index)** --- ## Sample Output ```json { "summary": "SLA is gaining strength on the 1-hour chart. RSI is rising, MACD has crossed bullish, and BBANDS are widening.", "timeframe": "1h", "indicators": { "RSI": 62.1, "BBANDS": { "upper": 176.90, "lower": 169.70, "middle": 173.30, "close": 176.30 }, "SMA": 174.20, "EMA": 175.60, "ADX": 27.5, "MACD": { "macd": 0.84, "signal": 0.65, "histogram": 0.19 } } } ``` --- ## Agent Components | Component | Role | | ------------------------------ | -------------------------------------------------- | | `1hour Data` | Pulls Alpha Vantage indicator data via webhook | | `Tesla 1hour Indicators Agent` | Interprets signals using structured GPT-4.1 prompt | | `OpenAI Chat Model` | GPT-4.1 LLM performs analysis | | `Simple Memory` | Maintains session context | --- ## Setup Instructions 1. **Import Workflow into n8n** Name it: `Tesla_1hour_Indicators_Tool` 2. **Install the Webhook Fetcher Tool** Required: `Tesla_Quant_Technical_Indicators_Webhooks_Tool` This agent expects webhook `/1hourData` to return pre-cleaned data 3. **Add Credentials** - Alpha Vantage Premium API Key (via HTTP Query Auth) - OpenAI GPT-4.1 credentials 4. **Configure for Sub-Agent Use** Triggered only via `Execute Workflow` from: `Tesla Financial Market Data Analyst Tool` Inputs: - `message` (optional) - `sessionId` (required for memory linkage) --- ## Sticky Notes Overview **Trigger Setup** - Activated only by the parent agent **1h Webhook Fetcher** - Calls Alpha Vantage via secured endpoint **AI Agent Summary** - Interprets trend/momentum from indicator data **GP Model Notes** - GPT-4.1 parses and explains technical alignment **Documentation Sticky** - Embedded in canvas with full walkthrough --- ## Licensing & Support © 2025 **Treasuryum Capital Limited Company** This tool is part of a proprietary multi-agent AI architecture. No commercial reuse or redistribution permitted. **Author:** [Don Jayamaha](https://linkedin.com/in/donjayamahajr) **Templates:** [https://n8n.io/creators/don-the-gem-dealer/](https://n8n.io/creators/don-the-gem-dealer/) --- **Detect SLA trend shifts and validate setups with 1-hour technical clarity—powered by Alpha Vantage + GPT-4.1.** **This tool is required by the Tesla Financial Market Data Analyst Tool.**
n8n$9.99Convert URL HTML to Markdown Format and Extract Page Links Efficiently
This workflow automates the conversion of HTML content from URLs into Markdown format while extracting links.
n8n$13.96Automate Daily SEO-Optimized Blog Creation
This workflow automates the creation of SEO-optimized blog posts by selecting a topic, performing keyword research, generating content with AI, and sourcing a relevant image. It ensures a steady stream of fresh content with minimal manual intervention.
Activepieces$2.99AI-Powered Document Chat with Nextcloud Files using LangChain & OpenAI
AI chatbot answers questions on Nextcloud folder files (PDF, MD, DOCX) via LangChain agent and OpenAI, with automatic text extraction and context memory.
n8n$22.99Send messages to your app using data from a custom webhook and Anthropic Claude
This automation sends messages to Anthropic Claude using data from a custom webhook which then sends it to your app via HP. Connects Custom Webhook, Anthropic Claude, and http for streamlined communication.
Make$3.99
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