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By tanaypant🛠️ Autopilot tool MCP server 💪 all 11 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 Autopilot Tool operations to AI agents. Zero configuration needed - all 11 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 Autopilot Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Autopilot Tool tool with full error handling 📋 Available Operations (11 total) Every possible Autopilot Tool operation is included: 📇 Contact (4 operations) • Create or Update a contact • Delete a contact • Get a contact • Get many contacts 🔧 Contactjourney (1 operations) • Add a contact journey 🔧 Contactlist (4 operations) • Add a contact to a list • Check if a contact list exists • Get many contact lists • Remove a contact from a list 📝 List (2 operations) • Create a list • Get many lists 🤖 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 Autopilot 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 Autopilot 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 AshbyAuto-generate SEO meta descriptions & keywords for Magento 2 with GPT-4.1 & LangChain
This workflow intelligently regenerates meta descriptions and meta keywords for Magento 2 product pages using OpenAI and SEO best practices. 🔍 What It Does: Accepts SKU input via a public form Fetches the product by SKU from your Magento 2 store Extracts existing description, meta description, and keywords Uses a LangChain-powered AI Agent with OpenAI to: Analyze the current product content Generate a high-conversion meta description (150–160 characters) Generate 5–7 optimized SEO meta keywords (while retaining existing ones, avoiding duplicates) Updates the product's metadata in Magento via REST API ⚙️ Technical Highlights: Magento 2 REST integration FormTrigger node for user input Add Role so AI know the Tone of you JavaScript code node for safe HTML parsing LangChain AI Agent with OpenAI (GPT-4.1 mini) Structured output parser to format AI response Automatically pushes updated metadata back into Magento 🧪 Optional: SerpAPI (plug-and-play support included but disabled) can be enabled to bring real-time search trend data into the AI prompt. ✅ Ideal For: Magento 2 store owners, developers, and SEO teams who want to automate metadata updates and boost search performance without touching product pages manually. How This AI Automation Workflow Helps Magento 2 Store Owners Stay Ahead Automates SEO Meta Updates at Scale Manually updating meta descriptions and keywords across hundreds or thousands of products is time-consuming and error-prone. This AI-driven workflow automatically reads the current product descriptions, analyzes SEO opportunities, and generates optimized meta keywords and descriptions — all without manual copywriting. This saves significant time and labor while keeping your SEO metadata fresh. Uses AI to Align with Latest Search Trends The workflow integrates with live search trend data (via SerpAPI or other tools) so that generated meta keywords and descriptions incorporate current popular search queries, trending phrases, and relevant semantic keywords. This ensures your product pages rank better by tapping into what buyers are actively searching for right now. Improves Search Engine Rankings and Click-Through Rates (CTR) Well-optimized meta descriptions that include power words, clear calls to action, and keyword clustering help improve Google’s understanding of your pages and entice more clicks from search results. This drives more organic traffic and increases the chance visitors convert into customers. Maintains Brand Authority and Trustworthiness The AI prompt is designed to follow Google’s E-A-T guidelines (Expertise, Authoritativeness, Trustworthiness), ensuring your product metadata builds credibility. Consistent, accurate meta descriptions contribute to a professional brand image and help improve SEO reputation. Keeps Magento Store Metadata Consistent and Up-to-Date Product content changes frequently—new features, specifications, or uses arise. This workflow allows easy regeneration of SEO metadata after product updates or on-demand, so your Magento store’s search snippets never become outdated or irrelevant. Simple Integration with Magento 2 API and Your Existing Workflow Since the automation fetches and updates product meta fields via Magento’s REST API, it works seamlessly with your current Magento setup without heavy manual work or additional plugins. This smooth integration minimizes technical complexity. Why This Matters in the Current Market SEO remains a top driver of online sales — with evolving algorithms and user search behaviors, staying current and relevant in metadata is essential for visibility. Voice search, mobile search, and semantic search make keyword strategy more complex; AI-powered semantic keyword clustering simplifies this. E-commerce competition is fierce — automated, data-driven SEO optimizations give you an edge over stores relying on static, outdated meta descriptions. Content automation is becoming a necessity — businesses using AI for SEO benefit from faster iteration and more consistent messaging, helping them capture shifting consumer trends. Summary This AI + Automation + Workflow approach enables Magento 2 store owners to continuously and efficiently optimize their product metadata, leveraging live market data and SEO best practices to boost organic rankings, attract more visitors, and increase conversions — all while reducing manual workload.
By Kanaka Kishore Kandregula