Nathan: Your n8n personal assistant
Nathan is a proof of concept framework for creating a personal assistant who can handle various day to day functions for you.
By jasonClose tickets faster 🛠️ Zammad tool MCP server 💪 all 20 operations
Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator? Join the community Complete MCP server exposing all Zammad Tool operations to AI agents. Zero configuration needed - all 20 operations pre-built. ⚡ Quick Setup 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 Zammad Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Zammad Tool tool with full error handling 📋 Available Operations (20 total) Every possible Zammad Tool operation is included: 🔧 Group (5 operations) • Create a group • Delete a group • Get a group • Get many groups • Update a group 🏢 Organization (5 operations) • Create an organization • Delete an organization • Get an organization • Get many organizations • Update an organization 🔧 Ticket (4 operations) • Create a ticket • Delete a ticket • Get a ticket • Get many tickets 👤 User (6 operations) • Create a user • Delete a user • Get a user • Get many users • Get currently logged-in user • Update a user 🤖 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 Zammad 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 Zammad 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.
By David AshbyCarbon footprint tracker with ScrapeGraphAI analysis and Google Drive ESG reports
Carbon Footprint Tracker with ScrapeGraphAI Analysis and ESG Reporting Automation 🎯 Target Audience Sustainability managers and ESG officers Environmental compliance teams Corporate social responsibility (CSR) managers Energy and facilities managers Supply chain sustainability coordinators Environmental consultants Green building certification teams Climate action plan coordinators Regulatory compliance officers Corporate reporting and disclosure teams 🚀 Problem Statement Manual carbon footprint calculation and ESG reporting is complex, time-consuming, and often inaccurate due to fragmented data sources and outdated emission factors. This template solves the challenge of automatically collecting environmental data, calculating accurate carbon footprints, identifying reduction opportunities, and generating comprehensive ESG reports using AI-powered data collection and automated sustainability workflows. 🔧 How it Works This workflow automatically collects energy and transportation data using ScrapeGraphAI, calculates comprehensive carbon footprints across all three scopes, identifies reduction opportunities, and generates automated ESG reports for sustainability compliance and reporting. Key Components Schedule Trigger - Runs automatically every day at 8:00 AM to collect environmental data Energy Data Scraper - Uses ScrapeGraphAI to extract energy consumption data and emission factors Transport Data Scraper - Collects transportation emission factors and fuel efficiency data Footprint Calculator - Calculates comprehensive carbon footprint across Scope 1, 2, and 3 emissions Reduction Opportunity Finder - Identifies cost-effective carbon reduction opportunities Sustainability Dashboard - Creates comprehensive sustainability metrics and KPIs ESG Report Generator - Automatically generates ESG compliance reports Create Reports Folder - Organizes reports in Google Drive Save Report to Drive - Stores final reports for stakeholder access 📊 Carbon Footprint Analysis Specifications The template calculates and tracks the following emission categories: | Emission Scope | Category | Data Sources | Calculation Method | Example Output | |----------------|----------|--------------|-------------------|----------------| | Scope 1 (Direct) | Natural Gas | EPA emission factors | Consumption × 11.7 lbs CO2/therm | 23,400 lbs CO2 | | Scope 1 (Direct) | Fleet Fuel | EPA fuel economy data | Miles ÷ MPG × 19.6 lbs CO2/gallon | 11,574 lbs CO2 | | Scope 2 (Electricity) | Grid Electricity | EPA emission factors | kWh × 0.92 lbs CO2/kWh | 46,000 lbs CO2 | | Scope 3 (Indirect) | Employee Commute | EPA transportation data | Miles × 0.77 lbs CO2/mile | 19,250 lbs CO2 | | Scope 3 (Indirect) | Air Travel | EPA aviation factors | Miles × 0.53 lbs CO2/mile | 26,500 lbs CO2 | | Scope 3 (Indirect) | Supply Chain | Estimated factors | Electricity × 0.1 multiplier | 4,600 lbs CO2 | 🛠️ Setup Instructions Estimated setup time: 25-30 minutes Prerequisites n8n instance with community nodes enabled ScrapeGraphAI API account and credentials Google Drive API access for report storage Organizational energy and transportation data ESG reporting requirements and standards Step-by-Step Configuration Install Community Nodes bash Install required community nodes npm install n8n-nodes-scrapegraphai Configure ScrapeGraphAI Credentials Navigate to Credentials in your n8n instance Add new ScrapeGraphAI API credentials Enter your API key from ScrapeGraphAI dashboard Test the connection to ensure it's working Set up Schedule Trigger Configure the daily schedule (default: 8:00 AM UTC) Adjust timezone to match your business hours Set appropriate frequency for your reporting needs Configure Data Sources Update the Energy Data Scraper with your energy consumption sources Configure the Transport Data Scraper with your transportation data Set up organizational data inputs (employees, consumption, etc.) Customize emission factors for your region and industry Customize Carbon Calculations Update the Footprint Calculator with your organizational data Configure scope boundaries and calculation methodologies Set up industry-specific emission factors Adjust for renewable energy and offset programs Configure Reduction Analysis Update the Reduction Opportunity Finder with your investment criteria Set up cost-benefit analysis parameters Configure priority scoring algorithms Define implementation timelines and effort levels Set up Report Generation Configure Google Drive integration for report storage Set up ESG report templates and formats Define stakeholder access and permissions Test report generation and delivery Test and Validate Run the workflow manually with test data Verify all calculation steps complete successfully Check data accuracy and emission factor validity Validate ESG report compliance and formatting 🔄 Workflow Customization Options Modify Data Collection Add more energy data sources (renewables, waste, etc.) Include additional transportation modes (rail, shipping, etc.) Integrate with building management systems Add real-time monitoring and IoT data sources Extend Calculation Framework Add more Scope 3 categories (waste, water, etc.) Implement industry-specific calculation methodologies Include carbon offset and credit tracking Add lifecycle assessment (LCA) capabilities Customize Reduction Analysis Add more sophisticated ROI calculations Implement scenario modeling and forecasting Include regulatory compliance tracking Add stakeholder engagement metrics Output Customization Add integration with sustainability reporting platforms Implement automated stakeholder notifications Create executive dashboards and visualizations Add compliance monitoring and alert systems 📈 Use Cases ESG Compliance Reporting: Automate sustainability disclosure requirements Carbon Reduction Planning: Identify and prioritize reduction opportunities Regulatory Compliance: Meet environmental reporting mandates Stakeholder Communication: Generate transparent sustainability reports Investment Due Diligence: Provide ESG data for investors and lenders Supply Chain Sustainability: Track and report on Scope 3 emissions 🚨 Important Notes Respect data source terms of service and rate limits Implement appropriate delays between requests to avoid rate limiting Regularly review and update emission factors for accuracy Monitor API usage to manage costs effectively Keep your credentials secure and rotate them regularly Ensure compliance with local environmental reporting regulations Validate calculations against industry standards and methodologies Maintain proper documentation for audit and verification purposes 🔧 Troubleshooting Common Issues: ScrapeGraphAI connection errors: Verify API key and account status Data source access issues: Check website accessibility and rate limits Calculation errors: Verify emission factors and organizational data Report generation failures: Check Google Drive permissions and quotas Schedule trigger failures: Check timezone and cron expression Data accuracy issues: Validate against manual calculations and industry benchmarks Support Resources: ScrapeGraphAI documentation and API reference n8n community forums for workflow assistance EPA emission factor databases and methodologies GHG Protocol standards and calculation guidelines ESG reporting frameworks and compliance requirements Sustainability reporting best practices and standards
By vinci-king-01Validate and enrich JotForm leads with Reoon email verification and Apollo in sheets
Description This workflow automatically validates and enriches contact form submissions from JotForm, ensuring you only store high-quality leads with complete business information. Who's it for Marketing teams, sales professionals, and business owners who collect leads through forms and want to automatically verify email validity and enrich contact data before adding them to their CRM or database. What it does When someone submits a contact form on JotForm, this workflow: Captures the submission data (name, email, phone, message) Creates a new record in Google Sheets Verifies the email address using Reoon's email verification API Saves validation metrics (deliverability, spam trap detection, disposable email check) Filters out unsafe or invalid emails Enriches validated contacts with professional data from Apollo (LinkedIn URL, job title, company name) Updates the Google Sheet with enriched information How it works JotForm Trigger - Listens for new form submissions Initial Storage - Creates a contact record in Google Sheets with basic form data Email Verification - Sends email to Reoon API for comprehensive validation Save Verification Results - Updates the sheet with email quality metrics Safety Filter - Only passes emails marked as "safe" to enrichment Contact Enrichment - Queries Apollo API to find professional information Final Update - Saves enriched data (LinkedIn, title, company) back to the sheet Requirements Services you'll need: JotForm account (free plan available) Reoon Email Verifier API access Apollo.io account for contact enrichment Google account for Google Sheets access Setup steps: Copy this Google Sheet template (make your own copy) Create a JotForm with fields: First Name, Last Name, E-mail, Phone, Message Get your Reoon API key from their dashboard Get your Apollo.io API key from account settings Connect your Google Sheets account in n8n How to customize Change verification level: Modify the "mode" parameter in the Reoon API call (options: quick, power) Adjust filtering criteria: Update the IF node to filter by different email quality metrics Add more enrichment: Apollo returns additional data fields you can map to your sheet Notification layer: Add a Send Email or Slack node after enrichment to notify your team of high-quality leads CRM integration: Replace or supplement Google Sheets with HubSpot, Salesforce, or Pipedrive nodes --- This workflow provides a complete lead qualification pipeline that saves time and ensures only high-quality, validated contacts make it into your database with enriched professional information.
By Naveen Choudhary