AI Workflows
Artificial Intelligence tools and workflows
Automate Dialogflow Fulfillment with Custom Webhook Responses
This workflow automates the fulfillment of Dialogflow conversations by sending custom JSON responses through webhooks.
MakeFreeAccess CO2 Measurement Data with CarbonDoomsday API for AI Agents
Complete MCP server exposing 2 CarbonDoomsDay 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](https://www.skool.com/n8n-nodes-automation-lab-1570/about) 1. **Import** this workflow into your n8n instance 2. **Credentials** Add CarbonDoomsDay 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 CarbonDoomsDay 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.carbondoomsday.com/api - **AI Expressions**: Automatically populate parameters via `$fromAI()` placeholders - **Native Integration**: Returns responses directly to the AI agent ## Available Operations (2 total) ### CO2 (2 endpoints) - **GET /co2/**: Get CO2 Measurement by Date - **GET /co2/{date}/**: CO2 measurements from the Mauna Loa observatory. This data is made available through the good work of the people at the Mauna Loa observatory. Their release notes say: These data are made freely available to the public and the scientific community in the belief that their wide dissemination will lead to greater understanding and new scientific insights. We currently scrape the following sources: - [co2_mlo_weekly.csv] - [co2_mlo_surface-insitu_1_ccgg_DailyData.txt] - [weekly_mlo.csv] We have daily CO2 measurements as far back as 1958. Learn about using pagination via [the 3rd party documentation]. [co2_mlo_weekly.csv]: https://www.esrl.noaa.gov/gmd/webdata/ccgg/trends/co2_mlo_weekly.csv [co2_mlo_surface-insitu_1_ccgg_DailyData.txt]: ftp://aftp.cmdl.noaa.gov/data/trace_gases/co2/in-situ/surface/mlo/co2_mlo_surface-insitu_1_ccgg_DailyData.txt [weekly_mlo.csv]: http://scrippsco2.ucsd.edu/sites/default/files/data/in_situ_co2/weekly_mlo.csv [the 3rd party documentation]: http://www.django-rest-framework.org/api-guide/pagination/#pagenumberpagination ## 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 CarbonDoomsDay 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$4.99Automate Airtable Record Creation with AI Insights from New RSS Articles
Streamline your content management by automatically creating Airtable records for each new article from RSS feeds, enhanced with AI-generated insights using Perplexity AI.
Make$3.99Automate Telegram Image Analysis and Response with ChatGPT
Automatically analyze images from Telegram updates using ChatGPT and send instant replies. This workflow streamlines communication by leveraging AI for image interpretation and response generation.
Make$4.99Automate Text Analysis with Google Natural Language and Store Results in Google Sheets
This workflow automates the process of analyzing texts using Google Natural Language and storing the results in Google Sheets. It streamlines data analysis by extracting entities and saving them in a structured format.
Make$3.99Generate Multispeaker Podcasts with AI Natural-Sounding Voices & Google Sheets
This workflow automates the generation of multi-speaker podcasts using AI-powered text-to-speech technology. It starts by retrieving a podcast script from a Google Sheets document, where each speaker's lines are clearly defined. The workflow then processes the script, generates a natural-sounding audio file with different voices for each speaker, and stores the final audio file in Google Drive. The workflow is designed to save time and resources by automating the podcast production process, making it ideal for content creators, marketers, and businesses that need to produce high-quality audio content regularly. ### **How It Works** 1. **Triggering the Workflow**: - The workflow starts with the **When clicking the 'Test workflow'** node, which can be triggered manually to begin the process. 2. **Data Retrieval**: - The **Get Podcast Text** node retrieves data from a Google Sheets document containing the podcast script. The document includes columns for the speaker's name and the corresponding text. 3. **Data Aggregation**: - The **Get All Rows** node aggregates the data from the Google Sheets document, combining the speaker names and their respective text into a single dataset. 4. **Text Formatting**: - The **Full Podcast Text** node processes the aggregated data, formatting it into a single string where each speaker's text is prefixed with their name. 5. **Audio Generation**: - The **Create Audio** node sends a request to the API to generate a multi-speaker podcast audio file. The request includes the formatted text and specifies the voices for each speaker. When you register for the API service, you will get $1 for free. For continuous work, add API credits to your account. 6. **Status Check**: - The **Get Status** node checks the status of the audio generation request. If the status is COMPLETED, the workflow proceeds; otherwise, it waits again. 7. **Audio Retrieval**: - The **Get URL Audio** node retrieves the URL of the generated audio file. - The **Get File Audio** node downloads the audio file from the provided URL. 8. **Audio Storage**: - The **Upload Audio** node uploads the generated audio file to a specified Google Drive folder for storage. --- ### **Key Features** - **Multi-Speaker Support**: Generates podcasts with different voices for each speaker, creating a more dynamic and engaging listening experience. - **Google Sheets Integration**: Retrieves podcast scripts from a Google Sheets document, making it easy to manage and update content. - **AI-Powered Text-to-Speech**: Uses advanced AI models to generate natural-sounding audio from text. - **Automated Audio Generation**: Streamlines the process of creating podcast audio files, reducing the need for manual recording and editing. - **Google Drive Storage**: Automatically uploads the generated audio files to Google Drive for easy access and sharing. This workflow is ideal for businesses and content creators looking to automate the production of multi-speaker podcasts. It leverages AI to handle the complex task of generating natural-sounding audio, allowing users to focus on creating compelling content.
n8n$9.99Translate Random Cocktail Instructions to French Using DeepL
This workflow fetches random cocktail instructions and translates them into French using DeepL, enhancing your cocktail recipe collection with multilingual support.
n8n$2.99Automate Iterable Operations with MCP Server for AI Integration
Deploy a comprehensive MCP server to automate all Iterable operations with AI agents, requiring zero configuration.
n8n$9.99Automate Airtable Record Management with Perplexity AI Insights
Streamline your Airtable data management by automating record searches and updates using insights from Perplexity AI. This workflow enhances efficiency by integrating AI-driven insights into your data processes.
Make$3.99Automate Airtable Record Creation from New Gmail Emails with ChatGPT Insights
Automatically create a new Airtable record for each email received in Gmail, enriched with insights generated by ChatGPT.
Make$3.99Translate English Text to German Using Google Translate
This workflow translates text from English to German using Google Translate, triggered manually in n8n.
n8nFreeEnhance AI Prompts with GPT-4 Mini and Telegram Delivery
# Workflow Documentation ## Description: This workflow is designed to optimize prompts by enhancing user inputs for clarity and specificity using AI. The workflow takes a user-provided prompt as input and uses a Natural Language Processing (NLP) model to refine and improve the prompt. The optimized prompt is then sent back to the user, ready for use in further workflows or processes. ## Setup: 1. This workflow is suitable for users who want to improve their prompts for better communication and understanding in their workflows. 2. The workflow utilizes an AI Agent powered by an OpenAI Chat Model to enhance user prompts. ## Expected Outcomes: - Users can provide vague or imprecise prompts as input to the workflow. - The AI Agent will refine and optimize the prompt, adding clarity and specific details. - The optimized prompt will be delivered back to the user via Telegram or can be input for the next nodes. ## Extra Information: A. A Telegram node is used to deliver the optimized prompt back to the user. B. Ensure you have the necessary credentials set up for Telegram and OpenAI accounts. C. Customize the workflow's settings, such as the AI model used for prompt optimization, to suit your requirements. D. Activate the workflow once all configurations are set to start optimizing prompts efficiently.
n8n$9.99urlscan.io MCP Server: All 3 Scan Ops for AI Agents
Zero-config MCP server exposing urlscan.io's 3 scan operations (Perform, Get one, Get many) to AI agents via n8n webhook.
n8n$14.99Automate LinkedIn ICP Scoring with Airtop Integration
This workflow automates the scoring of LinkedIn profiles against your Ideal Customer Profile (ICP) using Airtop, helping prioritize leads based on AI interest, technical depth, and seniority.
n8n$4.99Automated Recruitment: Slack, DocuSign, Trello & Gmail
Automates post-interview feedback collection, candidate decisions, personalized emails, DocuSign offers, Trello onboarding, and weekly metrics reporting.
n8n$24.99Generate and Save Random User Data as CSV Using GPT-4
This workflow generates CSV files containing lists of random users with specific characteristics using OpenAI's GPT-4 model. It processes the data in batches, converts it to CSV format, and saves it to disk for further use.
n8n$9.99Automate Airtable Record Management with AI-Generated Responses
Effortlessly manage data between Airtable tables by retrieving records, generating AI responses, and creating new records using a custom webhook and ChatGPT.
Make$4.99Goodreads Quote Extraction with Bright Data and Gemini
# Goodreads Quote Extraction with Bright Data and Gemini This workflow demonstrates how to fetch data specifically from **Goodreads** web pages using Bright Data and then extract specific information (quotes) from that data using a Google Gemini AI model.  ## How it works - The workflow is triggered manually. - It sends a request to a Bright Data collector to scrape data from a predefined list of **Goodreads** URLs. - The collected text data from **Goodreads** is then passed to a Google Gemini AI node. - The AI node processes the text and extracts quotes based on a specified JSON schema output format. ## Set up steps Setting up this workflow should take only a few minutes. - You will need a Bright Data API key to configure the Header Auth credential. - You will need a Google Gemini API key to configure the Google Gemini (PaLM) API account credential. - Ensure the correct Bright Data collector ID is set in the Perform Bright Data Web Request node URL. - Make sure the full list of target **Goodreads** URLs is correctly added to the Perform Bright Data Web Request node's body. - Link your created credentials to the respective nodes (Perform Bright Data Web Request and Quotes Extractor). - Keep detailed descriptions for specific node configurations in sticky notes inside your workflow canvas.
n8n$4.99AI Text-to-Image for Telegram (Gemini + Hugging Face FLUX)
Turn text prompts into stunning AI-generated images—automatically! ## What it does? This workflow lets your Telegram bot: 1. Receive a user's image description (e.g., a cyberpunk cat wearing sunglasses). 2. Refine the prompt using AI (Gemini/OpenAI) for better results. 3. Generate the image via Hugging Face's free API (no costs!). 4. Send the final image back to the user—all in seconds! ## How It Works? - **Telegram Trigger** Listens for user messages (e.g., “/image a futuristic cityscape”). - **AI Prompt Refinement** Uses Google Gemini (or OpenAI) to optimize the input for the image model. - **AI Image Generation** Calls Hugging Face's Together API (free tier) to create the image. Supports models like black-forest-labs/FLUX.1-schnell. - **Auto-Delivery** Downloads the image and sends it in the Telegram chat. ## Setup Guide (3 Minutes!) ### 1. **Prerequisites** - An n8n instance (cloud/self-hosted). - A Telegram bot token (get it from @BotFather). - A Hugging Face API token (free: https://huggingface.co/). ### 2. **Installation** - Import the JSON template into n8n. - Replace placeholders: - Telegram API token (in the Telegram nodes). - Hugging Face API token (in the HTTP Request node). (Optional) Swap Gemini for OpenAI if preferred. ### 3. **Done!** Activate the workflow—your bot is now ready to create stunning images! Simply send a command like: “Hey, generate an image of a warrior standing on top of a mountain.” You can keep your prompt casual or get as detailed as you like. The AI will interpret your request and craft a full, descriptive prompt for image generation. For example: “Generate an image of a warrior wearing tattered clothes, chest out, standing on a snowy mountain.” ## Why Use This Template? 1. 100% Free - Uses Hugging Face's free tier (no OpenAI costs). 2. No Coding - Fully visual n8n workflow. 3. Customizable - Swap AI models (Gemini/OpenAI) or image APIs. 4. Instant Results - Users get images in seconds.
n8n$9.99Automate Notion Database Updates with AI-Driven Enhancements
Streamline your Notion database management by integrating AI tools to automatically enhance and update database entries. This workflow ensures your data remains optimized and organized.
Make$3.99Reddit Tool MCP Server: All 13 Operations for AI Agents
Zero-config n8n MCP server exposing all 13 Reddit Tool operations (posts, comments, profiles, subreddits, users) to AI agents via webhook.
n8n$24.99Analyze articles with Google Natural Language and save the results as a CSV file
Every time a new article is created in an RSS feed, Make will automatically analyze the text content. hen, the results are iterated and saved as a CSV file in your Google Drive folder.
Make$4.99Automate Spotify Playlist Management with Scheduled Updates
This workflow automates the retrieval and management of Spotify playlists, ensuring timely updates every week.
n8n$11.48Automate Zoom Recording Transcription and Sharing via Slack
Automatically transcribe Zoom recordings using OpenAI's Whisper, summarize the content, convert it to audio with ElevenLabs, and share via Slack. This workflow streamlines the process of handling large Zoom recordings by converting them to smaller mp3 files for transcription.
Make$4.99
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