Expose translate a language endpoint to AI agents with DeepL tool MCP Server

🛠️ Elastic Security Tool MCP Server 💪 all 14 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 Elastic Security Tool operations to AI agents. Zero configuration needed - all 14 operations pre-built. ⚡ Quick Setup 1. Import this workflow into your n8n instance 2. Activate the workflow to start your MCP server 3. Copy the webhook URL from the MCP trigger node 4. Connect AI agents using the MCP URL 🔧 How it Works • MCP Tri

🛠️ Storyblok tool MCP server 💪 all 7 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 Storyblok Tool operations to AI agents. Zero configuration needed - all 7 operations pre-built. ⚡ Quick Setup 1. Import this workflow into your n8n instance 2. Activate the workflow to start your MCP server 3. Copy the webhook URL from the MCP trigger node 4. Connect AI agents using the MCP URL 🔧 How it Works • MCP Trigger: Se

Ai-powered contact management in Airtable with natural language commands

AI-Powered Airtable Contact Manager Overview The AI-Powered Airtable Contact Manager is an intelligent n8n workflow that enables AI assistants to seamlessly manage contact data in Airtable through natural language interactions. Using the Model Context Protocol (MCP), this workflow bridges the gap between conversational AI and structured data management. How It Works This workflow creates a powerful AI-to-database interface that allows users to manage their Airtable contacts through natural langu

Context-aware Google Calendar management with MCP protocol

Google Calendar MCP – Context-Aware Calendar Operations This n8n template implements an MCP (Model Context Protocol)-compliant module for managing Google Calendar events in a context-aware, conflict-free manner. 🧠 What It Does This MCP enables structured interaction with Google Calendar based on context and intent, ensuring reliable, reusable operations with awareness of existing data and state. ✅ Core Capabilities - Context-aware event creation Prevents overlappi

Create, update posts 🛠️ Wordpress tool MCP server 💪 all 12 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 Wordpress Tool operations to AI agents. Zero configuration needed - all 12 operations pre-built. ⚡ Quick Setup 1. Import this workflow into your n8n instance 2. Activate the workflow to start your MCP server 3. Copy the webhook URL from the MCP trigger node 4. Connect AI agents using the MCP URL 🔧 How it Works • MCP Trigger: S

AI-Powered Zoho CRM Lead Management with OpenAI GPT

Zoho CRM MCP Server Integration (n8n Workflow) 🧠 Overview This n8n flow integrates Zoho CRM with an MCP (Model Context Protocol) Server and OpenAI Chat Model, enabling AI-driven automation for CRM lead management. It allows an AI Agent to create, update, delete, and fetch leads in Zoho CRM through natural language instructions. --- ▶️ Demo Video Watch the full demo here: 👉 YouTube Demo Video --- ⚙️ Core Components | Component | Purpose | | ---------------------- | ------------------------------

Automated LinkedIn lead generation & DM outreach with Airtable, and Unipile.

LinkedIn DM Automation Overview Effortlessly scale personalized LinkedIn outreach using a no-code automation stack. This template provides a powerful, user-friendly system for harvesting leads from LinkedIn posts and managing outreach—all within Airtable and n8n. Features & Highlights - Actionable Input: Simply enter a LinkedIn post URL to kickstart the engine—no browser scraping or manual work needed. - Lead Harvesting: Automatically scrape commenters, likers, and profile data using Unipile’s A

Automate outbound sales calls to qualified leads with VAPI.ai and Google Sheets

This workflow automates outbound calls to qualified leads using VAPI.ai and Google Sheets. Here's how it works and how to set it up. How It Works Read Leads: The workflow starts by reading leads from a Google Sheet where the "AI call status" is marked as "NO" Batch Processing: Leads are processed one at a time (batch size = 1) to ensure proper sequencing Variable Setup: Extracts the phone number and row number from each lead record Trigger VAPI Call: Makes an API call to VAPI.ai to initiate an A