AI Workflows
Artificial Intelligence tools and workflows
Automate Business Prospect Searches with Natural Language Queries
This n8n workflow enables users to find business prospects using natural language queries, leveraging Claude AI for interpretation and Explorium MCP for data retrieval. Results are exported as a CSV file, simplifying the process for sales and business development teams.
n8n$9.99Track and Estimate AI Model Token Usage and Costs with JinaAI
This n8n workflow helps AI engineers and automation specialists track token usage and estimate costs for AI models using JinaAI, logging data to Google Sheets for easy analysis.
n8n$9.99Automate PDF Data Extraction and Storage in Google Sheets
Streamline your workflow by automatically extracting data from PDFs and storing it in Google Sheets. This process is ideal for managing invoices, orders, and reports efficiently.
Make$4.99Automate Reddit Comment Monitoring and Response with ChatGPT
Automatically track comments in specific Reddit subreddits, generate responses using ChatGPT, and post them back to Reddit to boost engagement.
Make$3.99Integrate OpenRouter with n8n for Dynamic LLM Model Selection
Enable dynamic selection and configuration of LLM models in n8n versions prior to 1.78 using OpenRouter. This workflow allows you to leverage various LLM models by configuring OpenAI nodes with OpenRouter-specific settings.
n8n$4.99Automate OpenAI Citation and File Retrieval with Markdown Formatting
This workflow automates the retrieval of citations and sources from OpenAI assistant outputs, formatting them for Markdown or HTML. It ensures accurate citation handling and output formatting for enhanced readability.
n8n$14.99Automate Feedback Sentiment Routing with Typeform, GCP, Notion, Slack, and Trello
Streamline feedback management by analyzing sentiment from Typeform responses using Google Cloud Natural Language, and route results to Notion, Slack, or Trello based on sentiment score.
n8n$4.99Automate Purchase Order Processing from Outlook Excel Attachments Using AI
Streamline the processing of purchase order submissions by automatically extracting and validating data from XLSX attachments in Outlook emails using AI.
n8n$14.99Dynamic AI Data Extraction from PDFs to Airtable
Automate the extraction of data from PDFs using dynamic AI prompts and update Airtable records seamlessly. This workflow adapts to changes in data attributes, reducing maintenance and enhancing flexibility.
n8n$24.99Automate SEO Blog Post Creation with AI and WordPress
This workflow automates the creation and publishing of SEO-optimized blog posts on WordPress using AI technologies like OpenAI and OpenRouter. It streamlines the process from topic selection to publishing, saving time and enhancing content quality.
n8n$14.99Automate AI-Driven Tagging for WordPress Blog Posts
Streamline your WordPress content management by automatically generating and applying AI-driven tags to blog posts. This workflow enhances SEO and ensures consistent content categorization.
n8n$19.99Automate Daily Inspirational Quote Delivery with AI Translation to Telegram
This n8n workflow automates the delivery of daily inspirational quotes to Telegram subscribers by fetching quotes, translating them with AI, and enhancing them with emoji stickers for added engagement.
n8n$14.99Automate Comprehensive Stock Analysis with AI and SEC 10K Reports
Leverage AI to automate the analysis of SEC 10K reports, streamlining the stock analysis process from planning to publication. This workflow involves a Senior Research Analyst, a team of Research Analysts, and a Senior Editor to produce detailed stock reports efficiently.
n8n$14.99Integrate QuickBooks Online Customer Data with AI Chat via MCP Server
Enable AI-driven chat interfaces to access QuickBooks Online customer data using n8n and MCP Server, facilitating seamless integration with Claude Desktop.
n8n$4.99Integrate eBay Catalog API with AI Agents for Product Data Retrieval
This workflow sets up an MCP server to expose eBay Catalog API operations to AI agents, enabling seamless product data retrieval and integration.
n8n$4.99AI-Powered MIS Agent
The AI-powered MIS Agent is an intelligent, automated system built using n8n that streamlines email-based data collection and document organization for businesses. It classifies incoming emails, extracts and processes attachments or Drive links, and routes them to the correct destination folders in Google Drive. Additionally, it provides advanced file operations like cleaning, merging, joining, and transforming data. ### Advantages - **Automated Email and File Management** Detects and processes emails containing attachments or Drive links, ensuring seamless classification and routing of business-critical files. - **AI-Based Classification** Uses LLMs (like GPT-4 Mini) to classify emails into categories such as Daily Sales, Customer Info, and Address based on their content. - **Smart File Routing and Upload** Recognizes whether a file is a direct attachment or a Google Drive link, extracts the file ID if necessary, and uploads it to predefined folders. - **Powerful Data Operations** Supports operations like append, join, group by, aggregation, and standardization of data directly from spreadsheets using Python and Pandas within the workflow. - **Scheduled and Triggered Automation** Supports scheduled runs and real-time email triggers, making it highly reliable and timely. - **Fully Modular and Scalable** Easily expandable with more logic, new folders, or different workflows. Clean architecture and annotations make maintenance simple. ### How It Works #### Email Trigger The system uses a Gmail trigger to monitor incoming emails with specific labels or attachments. #### Classification An LLM-based text classifier identifies the purpose of the email (e.g., sales data, address list, customer details). #### Conditional Logic Regex-based conditions check if the email contains Google Drive links or attachments. #### File Handling If it's a Drive link, it extracts the file ID and copies it to the correct folder. If it's an attachment, it uploads directly. #### Scheduled Data Management Periodically moves or logs files from predefined folders using a schedule trigger. #### Data Cleaning and Processing Performs data cleaning and transformation tasks like replacing missing values, standardizing formats, and joining datasets based on criteria provided by the user. #### Final Output Cleaned and processed files are saved in designated folders with their public links shared back through the system. ### Set Up Steps Configure Nodes: - Gmail Trigger: Detects relevant incoming emails. - Text Classifier: Uses OpenAI model to categorize email content. - Regex Conditions: Determine whether a link or attachment is present. - Google Drive Operations: Upload or copy files to categorized folders. - Python Nodes: Handle data manipulation using Pandas. - Google Sheets Nodes: Extract, clean, and write structured data. - LLM-based Chat Models: Extract and apply cleaning configurations. ### Connect Nodes: - Seamlessly connect Gmail inputs, classification, file processing, and data logic. - Output links or processed files are uploaded back to Drive and ready to share. ### Credentials: Ensure OAuth credentials for Gmail, Google Drive, and OpenAI are correctly set. ### Ideal For - Sales & CRM teams managing large volumes of email-based reports. - Data teams needing structured pipelines from unstructured email inputs. - Businesses looking to automate classification, storage, and transformation of routine data. ### Testing and Additional Customization - If you want to test this bot's capability before purchasing the workflow, ask me on my mail kumar.shivam19oce@gmail.com. I will share the chat URL and the links of associated Google Drives to see the result. Once you are satisfied, then we are good to go. I have just kept $1 for testing purposes because of paid OpenAI. - If there is any customization needed like charts and other requests like adding databases, feel free to let me know; I can do it accordingly. This is the first version; I will come with more advancements based on the request and responses. ### Use it and let me know on kumar.shivam19oce@gmail.com
n8n$24.99Automate YouTube Video Summarization into Airtable Content Ideas
Transform YouTube videos into structured content ideas stored in Airtable with minimal effort. This workflow extracts video transcripts, summarizes them using AI, and updates Airtable with the main ideas and key takeaways.
n8n$9.99Automate Airline Web Check-in Data Extraction and Storage
This workflow extracts airline web check-in information from Google Sheets, processes it using AI to generate structured JSON data, and stores it in a Postgres vector database for advanced search capabilities.
n8n$9.99AWS Cost & Usage Report Management for AI Agents
Complete MCP server exposing 4 AWS Cost and Usage Report Service API operations to AI agents. ## Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator? All 100% free? [Join the community](https://www.skool.com/n8n-nodes-automation-lab-1570/about) 1. **Import** this workflow into your n8n instance 2. **Credentials** Add AWS Cost and Usage Report Service credentials 3. **Activate** the workflow to start your MCP server 4. **Copy** the webhook URL from the MCP trigger node 5. **Connect** AI agents using the MCP URL ## How it Works This workflow converts the AWS Cost and Usage Report Service API into an MCP-compatible interface for AI agents. - **MCP Trigger**: Serves as your server endpoint for AI agent requests - **HTTP Request Nodes**: Handle API calls to http://cur.{region}.amazonaws.com - **AI Expressions**: Automatically populate parameters via `$fromAI()` placeholders - **Native Integration**: Returns responses directly to the AI agent ## Available Operations (4 total) ### #X-Amz-Target=AWSOrigamiServiceGatewayService.DeleteReportDefinition (1 endpoint) - **POST /#X-Amz-Target=AWSOrigamiServiceGatewayService.DeleteReportDefinition**: Deletes the specified report. ### #X-Amz-Target=AWSOrigamiServiceGatewayService.DescribeReportDefinitions (1 endpoint) - **POST /#X-Amz-Target=AWSOrigamiServiceGatewayService.DescribeReportDefinitions**: Lists the AWS Cost and Usage reports available to this account. ### #X-Amz-Target=AWSOrigamiServiceGatewayService.ModifyReportDefinition (1 endpoint) - **POST /#X-Amz-Target=AWSOrigamiServiceGatewayService.ModifyReportDefinition**: Allows you to programmatically update your report preferences. ### #X-Amz-Target=AWSOrigamiServiceGatewayService.PutReportDefinition (1 endpoint) - **POST /#X-Amz-Target=AWSOrigamiServiceGatewayService.PutReportDefinition**: Creates a new report using the description that you provide. ## 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 AWS Cost and Usage Report Service 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$9.99Audio & Video Data Search and Analysis with Clarifai API and AI Agent Integration
Complete MCP server exposing 21 api.clarify.io API operations to AI agents. ## Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator? All 100% free? [Join the community](https://www.skool.com/n8n-nodes-automation-lab-1570/about) 1. **Import** this workflow into your n8n instance 2. **Credentials** Add api.clarify.io credentials 3. **Activate** the workflow to start your MCP server 4. **Copy** the webhook URL from the MCP trigger node 5. **Connect** AI agents using the MCP URL ## How it Works This workflow converts the api.clarify.io API into an MCP-compatible interface for AI agents. - **MCP Trigger**: Serves as your server endpoint for AI agent requests - **HTTP Request Nodes**: Handle API calls to https://api.clarify.io/ - **AI Expressions**: Automatically populate parameters via `$fromAI()` placeholders - **Native Integration**: Returns responses directly to the AI agent ## Available Operations (21 total) ### V1 (21 endpoints) - **GET /v1/bundles**: Add Media to rack - **POST /v1/bundles**: Create a bundle - **DELETE /v1/bundles/{bundle_id}**: Delete a bundle - **GET /v1/bundles/{bundle_id}**: Get a bundle - **PUT /v1/bundles/{bundle_id}**: Update a bundle - **GET /v1/bundles/{bundle_id}/insights**: Get bundle insights - **POST /v1/bundles/{bundle_id}/insights**: Request an insight to be run - **GET /v1/bundles/{bundle_id}/insights/{insight_id}**: Get bundle insight - **DELETE /v1/bundles/{bundle_id}/metadata**: Delete bundle metadata - **GET /v1/bundles/{bundle_id}/metadata**: Get bundle metadata - **PUT /v1/bundles/{bundle_id}/metadata**: Update bundle metadata - **DELETE /v1/bundles/{bundle_id}/tracks**: Delete bundle tracks - **GET /v1/bundles/{bundle_id}/tracks**: Get bundle tracks - **POST /v1/bundles/{bundle_id}/tracks**: Add a track for a bundle - **PUT /v1/bundles/{bundle_id}/tracks**: Update tracks for a bundle - **DELETE /v1/bundles/{bundle_id}/tracks/{track_id}**: Delete a bundle track - **GET /v1/bundles/{bundle_id}/tracks/{track_id}**: Get bundle track - **PUT /v1/bundles/{bundle_id}/tracks/{track_id}**: Add media to a track - **GET /v1/reports/scores**: Generate Group Report - **GET /v1/reports/trends**: Generate Trends Report - **GET /v1/search**: Search Bundles ## 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 api.clarify.io 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$14.99Automate Translation of WordPress Posts with AI and Google Docs
This workflow automates the translation of WordPress blog posts into any language using AI Translate Pro, and stores the translated content in Google Docs for easy access and editing.
n8n$9.99Ensure Reliable AI Output in JSON Schema Using OpenAI and Custom Validation
This workflow ensures AI-generated output adheres to a specific JSON schema without relying on the unreliable Structured Output Parser. It uses OpenAI's GPT-4.1 series and a custom validation loop to guarantee accurate nutritional data extraction.
n8n$14.99Automate AI Avatar Creation with Babysea Babyavatar via Replicate API
This workflow automates the creation of custom AI avatars using the Babysea Babyavatar model through the Replicate API, streamlining the process and integrating seamlessly with your n8n workflows.
n8n$9.99Automate Dynamic AI Prompt Management with GitHub and n8n
Streamline AI prompt management by fetching dynamic prompts from GitHub, auto-populating variables, and processing them with AI models in n8n.
n8n$14.99
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