Conversational Meta ads reporting & management with GPT-5
Currently Work-In-Progress This n8n template creates an intelligent AI assistant that responds to chat messages, providing conversational access to your Meta Ads data. Powered by an OpenAI GPT-5 model and equipped with memory to maintain context, this agent can interact with your Meta Ads accounts via the Facebook Graph API. Users can ask it to: List all connected ad accounts. Retrieve detailed information for a specific ad account, including active campaigns, ad sets, and individual ads. Fetch performance insights (e.g., spend, impressions, conversions, CPC, CPM, CTR, ROAS) for a given account and time range. Ideal for marketers, advertisers, or anyone needing quick, conversational access to their Meta Ads performance data and campaign structure without logging into the Ad Manager directly. Requires: OpenAI and Facebook Graph API credentials.
By Konrad RoziewskiParse Ycombinator news page
Extract data from a webpage (Ycombinator news page) and create a nice list using itemList node. It seems that current version in n8n (0.141.1) requires to extract each variable one by one. Hopefully in a futute it will be possible to create the table using just one itemList node. Another nice feature of the workflow is an automatically generated file name with the resulting table. Check out the "fileName" option of the Spreadsheet File node: "Ycombinatornews{{new Date().toISOString().split('T', 1)[0]}}.{{$parameter[\"fileFormat\"]}}" The resulting table is saved as .xls file and delivered via email
By EduardComprehensive customer support with OpenAI O3 + GPT-4.1-mini multi-agent team
Support Director Agent with Customer Support Team Description Complete AI-powered customer support department with a Support Director agent orchestrating specialized support team members for comprehensive customer service operations. Overview This n8n workflow creates a comprehensive customer support department using AI agents. The Support Director agent analyzes support requests and delegates tasks to specialized agents for tier 1 support, technical assistance, customer success, knowledge management, escalation handling, and quality assurance. Features Strategic Support Director agent using OpenAI O3 for complex support decision-making Six specialized support agents powered by GPT-4.1-mini for efficient execution Complete customer support lifecycle coverage from first contact to resolution Automated technical troubleshooting and documentation creation Customer success and retention strategies Escalation management for priority issues Quality assurance and performance monitoring Team Structure Support Director Agent: Strategic support oversight and task delegation (O3 model) Tier 1 Support Agent: First-line support, basic troubleshooting, account assistance Technical Support Specialist: Complex technical issues, API debugging, integrations Customer Success Advocate: Onboarding, feature adoption, retention strategies Knowledge Base Manager: Help articles, FAQs, documentation creation Escalation Handler: Priority issues, VIP customers, crisis management Quality Assurance Specialist: Support quality monitoring, performance analysis How to Use Import the workflow into your n8n instance Configure OpenAI API credentials for all chat models Deploy the webhook for chat interactions Send support requests via chat (e.g., "Customer can't connect to our API endpoint") The Support Director will analyze and delegate to appropriate specialists Receive comprehensive support solutions and documentation Use Cases Complete Support Cycle: Inquiry triage → Resolution → Follow-up → Quality review Technical Documentation: API troubleshooting guides, integration manuals Customer Onboarding: Welcome sequences, feature tutorials, training materials Escalation Management: VIP support protocols, complaint resolution procedures Quality Monitoring: Response evaluation, team performance analytics Knowledge Base: Self-service content creation, FAQ optimization Requirements n8n instance with LangChain nodes OpenAI API access (O3 for Support Director, GPT-4.1-mini for specialists) Webhook capability for chat interactions Optional: Integration with CRM, helpdesk, or ticketing systems Cost Optimization O3 model used only for strategic Support Director decisions GPT-4.1-mini provides 90% cost reduction for specialist tasks Parallel processing enables simultaneous agent execution Solution template library reduces redundant response generation Integration Options Connect to helpdesk systems (Zendesk, Freshdesk, Intercom, etc.) Integrate with CRM platforms (Salesforce, HubSpot, etc.) Link to knowledge base systems (Confluence, Notion, etc.) Connect to monitoring tools for proactive support Building Blocks Disclaimer Important Note: This workflow is designed as a foundational building block for your customer support automation. While it provides a comprehensive multi-agent framework, you may need to customize prompts, add specific integrations, or modify agent behaviors to match your exact business requirements and support processes. Consider this a starting point that can be extended and tailored to your unique customer support needs. Contact & Resources Website: nofluff.online YouTube: @YaronBeen LinkedIn: Yaron Been Tags CustomerSupport HelpDesk TechnicalSupport CustomerSuccess SupportAutomation QualityAssurance KnowledgeManagement EscalationManagement ServiceExcellence CustomerExperience n8n OpenAI MultiAgentSystem SupportTech CX Troubleshooting CustomerCare SupportOps
By Yaron BeenList recent ServiceNow incidents in Slack using pop up modal
Who is this for? This workflow is designed for IT teams, service desk personnel, and incident management professionals who need a streamlined way to monitor and report on recent ServiceNow incidents directly within Slack. What problem is this workflow solving? / Use Case Manually monitoring incidents in ServiceNow can be time-consuming, and keeping teams updated about new or specific incidents often involves additional manual effort. This workflow automates the process of querying recent incidents from ServiceNow based on user-defined parameters and delivering formatted results directly to Slack. It ensures faster response times and improved incident visibility. What this workflow does This workflow integrates Slack and ServiceNow to provide an automated system for retrieving and presenting incident details. Slack User Interaction: Users initiate the workflow via a Slack modal form, selecting incident parameters like priority and state. ServiceNow Query: The workflow queries ServiceNow for incidents matching the selected criteria. Results Delivery: Incident results are sent back to Slack as a message formatted using Block Kit. If no results are found, the workflow notifies the user with a detailed message, either in a Slack channel or via direct message. Error Handling: If no channel is selected or any issues arise, the workflow ensures graceful fallback with appropriate notifications. Setup Instructions Slack Setup: Integrate Slack with n8n using a Slack app. Configure the modal form to accept parameters like priority and state. Check out this video for setting up a modal slack app on YouTube. ServiceNow Integration: Use ServiceNow credentials to connect with n8n. Ensure appropriate permissions for querying incidents. n8n Workflow Configuration: Import this workflow into n8n. Verify all node configurations, particularly those for ServiceNow API queries and Slack outputs. Set up webhook URLs for Slack event handling. Testing: Trigger the workflow from Slack to test modal inputs and incident queries. Confirm the output is correctly formatted and delivered to the intended Slack channel or user. How to Customize this Workflow to Your Needs Modify the ServiceNow query logic to include additional filters or fields. Adjust the Slack Block Kit formatting to match your organization’s preferred notification style. Use conditional logic to add more advanced handling for specific priorities or states. Expand the workflow to include escalation steps, such as notifying a specific team or creating follow-up tasks. Workflow Highlights Slack Modal Form: Allows users to specify search criteria for incidents interactively. Dynamic Results Delivery: Automatically sends results to a Slack channel or direct message based on user input. Error Handling: Provides fallback notifications when no incidents are found or user inputs are incomplete. Customizable Integration: Easily adaptable to fit different organizational needs, including advanced filtering and formatting options.
By Angel MenendezConnect AI agents to eBay Compliance API for listing violation management
Complete MCP server exposing 3 Compliance 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 Compliance 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 Compliance 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 (3 total) 🔧 Listing_Violation (1 endpoints) • GET /listing_violation: Get Violation Summary Counts 🔧 ListingViolationSummary (1 endpoints) • GET /listingviolationsummary: This call returns listing violation counts for a seller 🔧 SuppressListingViolation (1 endpoints) • POST /suppresslistingviolation: Suppress Listing Violation 🤖 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 Compliance 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 David AshbyAutomate candidate analysis & ranking with Jotform and Gemini AI
This workflow is designed to automate the initial screening process for your User-Generated Content (UGC) campaigns. It instantly calculates a performance score for every candidate using AI, filters out low-scoring applicants, and immediately initiates outreach to the qualified talent. 🧩 What Problem Does It Solve? Hiring managers waste valuable time manually reviewing hundreds of applications against a complex, weighted rubric, which leads to delays in contacting the best candidates. This workflow solves these by: Instant, Unbiased Scoring: It uses an AI Agent (Google Gemini) to instantly assign a score (0–10) based on specific criteria. Automatic Qualification: It filters out unqualified candidates and automatically processes those who meet your minimum score requirement. Immediate Outreach: It instantly sends acceptance emails to qualified candidates and notifies your internal HR team to follow up. Centralized Tracking: It logs the candidate's data and their final AI score into a central Google Sheet for easy long-term tracking. 🛠️ How to Configure It 1.Jotform Setup: Connect your Jotform API credentials in n8n. Specify the ID of your candidate application form in the Jotform Trigger node. 2.AI Setup: Connect your Google Gemini API key. Review the scoring prompt in the AI Agent node and confirm that the point system matches your current campaign requirements. 3.Google Sheets Setup: Connect your Google Sheets API credentials. Replace the placeholder TEMPLATEGOOGLESHEETSDOCUMENTID with the actual ID of your candidate tracking spreadsheet. 4.Email Setup: Connect your Gmail API credentials. Replace the placeholder TEMPLATEHREMAIL@yourcompany.com in the "Send Internal Notification (HR)" node with your team's correct contact email. ⚙️ How It Works 1.Application Received: The Jotform Trigger instantly fires when a candidate submits their form. 2.AI Scores Candidate: The AI Agent uses the criteria prompt to calculate a definitive numerical score for the applicant. 3.Qualification Check: The If node checks if the score is 6 or higher. 4.If True (qualified): The candidate proceeds to the next steps. 5.If False (unqualified): The workflow stops for this candidate (or can be configured to send a rejection). 6.Record & Notify: The workflow saves the data to the Google Sheet and then simultaneously sends two emails: an acceptance email to the candidate and an internal notification to HR. 🎯 Perfect For UGC Campaigns: Instantly qualify content creators for product reviews, endorsements, and social media ads based on objective, pre-defined rules. Influencer Marketing: Automatically filter and prioritize micro- and nano-influencers who match all your specific demographic and product criteria. Mass Screening: Use the AI to quickly narrow down a large pool of applicants, saving your recruiting team hours of manual data review and scoring. If you need any help Get in Touch
By Abdullah Alshiekh