AI Workflows
Artificial Intelligence tools and workflows
Deploy a Dropcontact MCP Server for AI Integration
Set up a Dropcontact MCP server to expose all operations to AI agents with zero configuration. This workflow enables seamless integration with AI tools, providing pre-built operations for efficient data handling.
n8n$4.99Telegram AI Agent with Message Buffering
Buffers multiple quick-succession Telegram messages, combines them into one conversation, and generates a single unified AI response using OpenAI.
n8n$14.99Automate Sponsored Deal Email Responses with Gmail & GPT-4
Automates detection and professional responses to sponsored deal emails using Gmail trigger and AI classification. Saves time by filtering, analyzing, and replying or ignoring irrelevant inquiries.
n8n$14.99Phantombuster Tool MCP Server - 5 Operations
Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator? [Join the community](https://www.skool.com/beyond-nodes-automation-lab-2006/about) Complete MCP server exposing all Phantombuster tool operations to AI agents. Zero configuration needed - all 5 operations pre-built. ## Quick Setup 1. **Import** this workflow into your n8n instance 2. **Activate** the workflow to start your MCP server 3. **Copy** the webhook URL from the MCP trigger node 4. **Connect** AI agents using the MCP URL ## How it Works **MCP Trigger**: Serves as your server endpoint for AI agent requests **Tool Nodes**: Pre-configured for every Phantombuster tool operation **AI Expressions**: Automatically populate parameters via `$fromAI()` placeholders **Native Integration**: Uses official n8n Phantombuster tool with full error handling ## Available Operations (5 total) Every possible Phantombuster tool operation is included: ### Agent (5 operations) **Delete an agent** **Get an agent** **Get many agents** **Get the output of an agent** **Add an agent to the launch queue** ## 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 Phantombuster 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 Phantombuster 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](https://github.com/Cfomodz/community-use)!** Ready to deploy in under 2 minutes.
n8n$4.99Deploy a ProfitWell MCP Server for AI Agent Integration
Set up a ProfitWell MCP server to expose all operations to AI agents with zero configuration. This workflow includes pre-built operations for seamless AI integration.
n8n$4.99Enhance Chat Responses with Real-time Search via Bright Data MCP & Gemini AI
### Disclaimer This template is only available on n8n self-hosted as it's making use of the community node for MCP Client.  ### Who this is for? The Chat Conversations with Bright Data MCP Search Engines & Google Gemini workflow is designed for users who need real-time, AI-enhanced conversations powered by live search engine results. This workflow is tailored for: 1. **Data Analysts** - Who want live, search-based data fused with AI reasoning. 2. **Marketing Researchers** - Seeking up-to-the-minute market or competitor insights via conversational AI. 3. **Product Managers** - Exploring user needs, market trends, and competitor analysis in real time. 4. **AI Developers** - Building dynamic applications that combine live search data with intelligent conversation agents. 5. **Growth Hackers** - Who need fast, conversational research tools for campaign ideation, outreach, or content creation. ### What problem is this workflow solving? Traditional chatbots and AI systems often rely on static, outdated data. This workflow enables AI agents to fetch live search engine data and converse intelligently about it, making interactions dynamic, accurate, and highly contextual. This workflow solves the major gaps of: 1. **Outdated Knowledge**: Regular chatbots lack up-to-date information from live web searches. 2. **Manual Search Fatigue**: Manually searching for information and interpreting it is time-consuming. 3. **Context Bridging**: Connecting search results into meaningful, conversational replies requires human-level reasoning. ### What this workflow does? 1. Accepts a user's conversational query input. 2. Triggers a search request to Bright Data's MCP Search Engines API (Google, Bing, etc.) based on the query. 3. Waits for the search task to complete. 4. Retrieves real-time search results. 5. Feeds the search results and original question into Google Gemini. 6. Generates a human-like, contextually accurate AI response combining live information and conversational flow. 7. Outputs the response back into a chat app. ### Pre-conditions 1. Knowledge of Model Context Protocol (MCP) is highly essential. Please read this blog post - [model-context-protocol](https://www.anthropic.com/news/model-context-protocol) 2. You need to have the [Bright Data](https://brightdata.com/) account and do the necessary setup as mentioned in the **Setup** section below. 3. You need to have the Google Gemini API Key. Visit [Google AI Studio](https://aistudio.google.com/) 4. You need to install the Bright Data MCP Server [@brightdata/mcp](https://www.npmjs.com/package/@brightdata/mcp) 5. You need to install the [n8n-nodes-mcp](https://github.com/nerding-io/n8n-nodes-mcp) ### Setup 1. Please make sure to set up n8n locally with MCP Servers by navigating to [n8n-nodes-mcp](https://www.youtube.com/watch?v=NUb73ErUCsA) 2. Please make sure to install the Bright Data MCP Server [@brightdata/mcp](https://www.npmjs.com/package/@brightdata/mcp) on your local machine. Also, do Account Setup as mentioned in the [@brightdata/mcp](https://www.npmjs.com/package/@brightdata/mcp) URL. 3. Sign up at [Bright Data](https://brightdata.com/). 4. Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions. 5. In n8n, configure the Google Gemini (PaLM) API account with the Google Gemini API key (or access through Vertex AI or proxy). 6. In n8n, configure the credentials to connect with MCP Client (SDIO) account with the Bright Data MCP Server as shown below.  Make sure to copy the Bright Data Web Unlocker **API token** within the Environments textbox above as API_TOKEN=<your-token>. 7. Update the **HTTP Request for Webhook Notification** node for sending the Webhook notification for chat responses. ### How to customize this workflow to your needs 1. **Change Search Engine**: - Add or Remove the Search Engine MCP tools based upon the Bright Data MCP Server updates. 2. **Expand Outputs**: - Send AI chat responses to Slack, Discord, custom chat UIs, WhatsApp, or CRM systems. - Store conversation logs in a database (PostgreSQL, MongoDB, etc.) for future audits or training.
n8n$14.99GongTool MCP Server
Complete MCP server exposing all Gong tool operations to AI agents. Zero configuration needed - all 4 operations pre-built. ## Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator? All 100% free? [Join the community](https://www.skool.com/n8n-nodes-automation-lab-1570/about) 1. **Import** this workflow into your n8n instance 2. **Activate** the workflow to start your MCP server 3. **Copy** the webhook URL from the MCP trigger node 4. **Connect** AI agents using the MCP URL ## How it Works **MCP Trigger**: Serves as your server endpoint for AI agent requests **Tool Nodes**: Pre-configured for every Gong tool operation **AI Expressions**: Automatically populate parameters via `$fromAI()` placeholders **Native Integration**: Uses official n8n Gong tool tool with full error handling ## Available Operations (4 total) Every possible Gong tool operation is included: ### Call (2 operations) **Get call** **Get many calls** ### User (2 operations) **Get user** **Get many users** ## 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 Gong 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 Gong 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](https://github.com/Cfomodz/community-use)!** Ready to deploy in under 2 minutes.
n8n$4.99Real-Time Chinese Translation via Line and OpenRouter
This workflow automates real-time translation of text into Chinese characters, pinyin, and English using Line Messaging API and OpenRouter's advanced language models. It enhances user interaction with loading animations and prompt replies.
n8n$9.99Integrate Wayback Machine API with AI Assistants via MCP Server
Set up an MCP server to expose Wayback Machine API operations for seamless integration with AI assistants.
n8n$4.99Integrate Telegram Bot with NeurochainAI for AI-Driven Text and Image Processing
This workflow connects a Telegram bot with NeurochainAI to perform advanced AI-driven text processing and image generation, enhancing interaction capabilities.
n8n$14.99Automated AI Video review of Articles
Convert article content into fully automated avatar reviews. Examples and walkthrough here: https://systemprompt.io/documentation/make-ai-automation/ai-video-generation
Make$2.99NPR Station Finder Service MCP Server
Complete MCP server exposing 2 NPR Station Finder Service API operations to AI agents. ## Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator? All 100% free? [Join the community](https://www.skool.com/n8n-nodes-automation-lab-1570/about) 1. **Import** this workflow into your n8n instance. 2. **Credentials** Add NPR Station Finder Service credentials. 3. **Activate** the workflow to start your MCP server. 4. **Copy** the webhook URL from the MCP trigger node. 5. **Connect** AI agents using the MCP URL. ## How it Works This workflow converts the NPR Station Finder Service API into an MCP-compatible interface for AI agents. - **MCP Trigger**: Serves as your server endpoint for AI agent requests. - **HTTP Request Nodes**: Handle API calls to https://station.api.npr.org. - **AI Expressions**: Automatically populate parameters via `$fromAI()` placeholders. - **Native Integration**: Returns responses directly to the AI agent. ## Available Operations (2 total) ### V3 (2 endpoints) - **GET /v3/stations**: Get Station 1. - **GET /v3/stations/{stationId}**: Retrieve metadata for the station with the given numeric ID. ## 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 NPR Station Finder 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$4.99Automate Text Processing with Apple Shortcuts and OpenAI
This workflow leverages Apple Shortcuts and OpenAI to automate text processing tasks such as translation, grammar correction, and content length adjustment.
n8n$9.99Automated FAQ Generator from WhatsApp Groups Using GPT-4 and Google Docs
## What's up guys, I'm Luís 🌐 If you manage learning programs, communities, or customer groups on WhatsApp, this workflow will save your life. It's your **AI-powered FAQ engine**. This workflow captures group conversations (via Google Sheets), identifies the most common doubts and recurring questions, and automatically builds a structured FAQ document with suggested answers. **Important note**: To use this workflow, you must already have all WhatsApp conversations saved into a Google Sheet. If you don't have this yet, check out my other workflow that does exactly that: [Workflow to Summary Group WhatsApp](https://n8n.io/workflows/7141-workflow-to-summary-group-whatsapp/). ## What this workflow does - Runs weekly (every Monday 6am) - Pulls all conversations from your Google Sheet - Groups messages by week into structured blocks - Sends blocks to an AI Agent to detect FAQs - AI extracts recurring questions, explains context, and suggests answers - Creates a new FAQ document in Google Docs based on a template - Keeps everything organized and accessible for the team ## Flow Structure **Part 1 - Data Capture & Weekly Blocks** - Retrieves group messages from Google Sheets - Organizes them by ISO week number - Prepares clean message blocks for AI analysis **Part 2 - AI FAQ Builder** - AI Agent analyzes the messages - Extracts FAQs with suggested responses - Generates a new Google Doc FAQ every week ## Tools used - Google Sheets (message log database) - OpenAI (AI analysis & FAQ generation) - Google Docs (automatic FAQ output) - Schedule trigger (weekly automation) ## Why this workflow stands out - Turns raw WhatsApp conversations into **weekly FAQ reports** - AI not only detects questions but also **suggests answers** - Automated, scalable and perfect for communities and teams - Delivers a ready-to-use FAQ doc every week - Works on both n8n Cloud and Self-hosted - 100% secure. No hacks. No shortcuts. --- Want to adapt this flow for your business, education program, or internal team? Custom requests: WhatsApp me at **+55 34 99256-9346** --- ## Português (P-BR) ### Fala, galera! Eu sou o Luís 🌐 Se você gerencia cursos, comunidades ou grupos de clientes no WhatsApp, esse fluxo vai salvar sua vida. É o seu **FAQ automático com IA**. Ele pega as conversas que já estão salvas em uma planilha do Google Sheets, identifica as dúvidas mais recorrentes e gera um documento organizado com respostas sugeridas. **Atenção**: Para usar esse fluxo, você precisa já ter todas as conversas do WhatsApp salvas em uma planilha no Google Sheets. Se você ainda não tem isso configurado, utilize meu outro workflow que faz exatamente esse processo: [Workflow to Summary Group WhatsApp](https://n8n.io/workflows/7141-workflow-to-summary-group-whatsapp/). ## O que esse fluxo faz - Roda toda segunda-feira às 6h - Busca as mensagens salvas em sua planilha no Google Sheets - Agrupa por semana em blocos organizados - Envia para um Agente de IA que identifica dúvidas recorrentes - Gera explicações e respostas sugeridas - Cria automaticamente um novo documento FAQ no Google Docs - Mantém um histórico semanal claro e acessível ## Como o fluxo está estruturado **Parte 1 - Captura & Blocos Semanais** - Puxa mensagens da planilha - Organiza por semana ISO - Prepara blocos para análise pela IA **Parte 2 - FAQ Builder com IA** - Agente de IA analisa blocos - Extrai dúvidas recorrentes e sugere respostas - Cria um documento FAQ atualizado no Google Docs ## Ferramentas utilizadas - Google Sheets (base de mensagens) - OpenAI (análise & geração de FAQ) - Google Docs (documento automático) - Agendamento semanal (gatilho) ## Por que esse fluxo se destaca - Transforma mensagens de grupo em **relatórios semanais de FAQ** - IA identifica dúvidas e já entrega **respostas prontas** - Escalável para qualquer comunidade ou programa educacional - Documento novo toda semana, sem esforço manual - Compatível com n8n Cloud e Self-hosted - 100% seguro. Sem gambiarras. --- Quer adaptar esse fluxo pro seu negócio, curso ou comunidade? Solicitação personalizada: me chama no WhatsApp **+55 34 99256-9346**
n8n$9.99Smart Gmail AI Auto-Replies for Out-of-Office
AI-powered workflow that sends personalized Gmail auto-replies while you're away, skipping spam and newsletters, with backup contacts.
n8n$14.99Connect AI Agents to EPA Clean Air Act Data with MCP Integration
Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator? [Join the community](https://www.skool.com/beyond-nodes-automation-lab-2006/about) Complete MCP server exposing 16 U.S. EPA Enforcement and Compliance History Online (ECHO) - Clean Air Act API operations to AI agents. ## Quick Setup 1. **Import** this workflow into your n8n instance. 2. **Credentials** Add U.S. EPA Enforcement and Compliance History Online (ECHO) - Clean Air Act credentials. 3. **Activate** the workflow to start your MCP server. 4. **Copy** the webhook URL from the MCP trigger node. 5. **Connect** AI agents using the MCP URL. ## How it Works This workflow converts the U.S. EPA Enforcement and Compliance History Online (ECHO) - Clean Air Act API into an MCP-compatible interface for AI agents. - **MCP Trigger**: Serves as your server endpoint for AI agent requests. - **HTTP Request Nodes**: Handle API calls to https://echodata.epa.gov/echo. - **AI Expressions**: Automatically populate parameters via `$fromAI()` placeholders. - **Native Integration**: Returns responses directly to the AI agent. ## Available Operations (16 total) ### Air_Rest_Services.Get_Download (2 endpoints) - **GET /air_rest_services.get_download**: Request Air Quality Data. - **POST /air_rest_services.get_download**: Clean Air Act Download Data Service. ### Air_Rest_Services.Get_Facilities (2 endpoints) - **GET /air_rest_services.get_facilities**: Query Air Quality Facilities. - **POST /air_rest_services.get_facilities**: Clean Air Act Facility Search. ### Air_Rest_Services.Get_Facility_Info (2 endpoints) - **GET /air_rest_services.get_facility_info**: Request Facility Details. - **POST /air_rest_services.get_facility_info**: Clean Air Act Facility Enhanced Search. ### Air_Rest_Services.Get_Geojson (2 endpoints) - **GET /air_rest_services.get_geojson**: Request Air Quality GeoJSON. - **POST /air_rest_services.get_geojson**: Clean Air Act GeoJSON Service. ### Air_Rest_Services.Get_Info_Clusters (2 endpoints) - **GET /air_rest_services.get_info_clusters**: Request Info Clusters Data. - **POST /air_rest_services.get_info_clusters**: Clean Air Act Info Clusters Service. ### Air_Rest_Services.Get_Map (2 endpoints) - **GET /air_rest_services.get_map**: Request Air Quality Map. - **POST /air_rest_services.get_map**: Clean Air Act Map Service. ### Air_Rest_Services.Get_Qid (2 endpoints) - **GET /air_rest_services.get_qid**: Query by Query ID. - **POST /air_rest_services.get_qid**: Clean Air Act Search by Query ID. ### Air_Rest_Services.Metadata (2 endpoints) - **GET /air_rest_services.metadata**: Request Air Quality Metadata. - **POST /air_rest_services.metadata**: Clean Air Act Metadata Service. ## 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 U.S. EPA Enforcement and Compliance History Online (ECHO) - Clean Air Act 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$14.99Generate dynamic gallery cards from Google Sheets based on the user input
Every time a Chatfuel webhook receives a query, Make will look for data in a Google Sheet and respond with a dynamic gallery based on the input on Chatfuel. The user input is also stored on a separate sheet.
Make$2.99Remotely Manage 3D Printing with OpenAI and OctoPrint
Enable remote management of your 3D printer by integrating OpenAI's conversational capabilities with OctoPrint's API. This workflow allows you to query, start, pause, resume, or cancel print jobs and receive detailed status updates.
n8n$14.99Monitor Google Drive folder for new files and extract text with Google Cloud Vision to add to Google Sheets
Use this template to monitor a Google Drive folder for new files, extract text using Google Cloud Vision, and add it to Google Sheets for streamlined data management.
Make$4.99Automate Lead Capture and Business Q&A with AI and Google Sheets
Streamline your business operations by automating lead capture and customer inquiries using AI-driven chatbots. This workflow integrates Google Drive, Pinecone, and Google Sheets to create a seamless system for managing company information and engaging with potential customers.
n8n$14.99Automate Telegram Call Center with Google Speech-to-Text Integration
This workflow automates the processing of Telegram messages for a call center, leveraging Google Speech-to-Text for voice message transcription and PostgreSQL for member data management.
n8n$19.99Automated PDF Report Monitoring with AI Insights and Alerts
This workflow automates the monitoring of PDF reports, extracting key insights using AI, and sending alerts via Slack or email. It helps teams stay informed about critical documents without manual intervention.
n8n$9.99Automate Bilingual Content Creation in Google Sheets with Google Translate
This workflow automatically translates text from one language to another in Google Sheets using Google Translate. It updates the translated content in the same sheet, facilitating seamless bilingual content management.
Make$4.99Automate Content Analysis & Multi-Platform Distribution with GPT-4
### How It Works ™️ This workflow is a comprehensive, AI-powered system that acts as a virtual content manager for creators and marketing teams. It automates the entire content lifecycle, from ingestion and analysis to multi-channel distribution and performance logging. 1. **Multi-Source Ingestion**: The workflow starts by ingesting new content from a trigger, such as a **WordPress** blog post or an **RSS Feed** from a YouTube channel. 2. **AI-Powered Analysis**: The new content is sent to an **OpenAI (GPT-4)** node, which performs a series of high-value tasks. It instantly creates a summary, extracts keywords, analyzes the sentiment, and generates tailored post drafts for different social media platforms. 3. **Smart Distribution**: A **Buffer** node then takes these AI-generated, platform-specific posts and schedules them for optimal times across your social media channels like **Twitter**, **LinkedIn**, and **Facebook**. 4. **Centralized Archiving**: All of the content data, including the AI-generated summaries and insights, are automatically logged into a **Google Sheets** database. This creates a powerful, searchable archive and an analytics dashboard for tracking content performance. ### How to Set Up ⚙️ 1. **Import the Workflow**: Copy the provided workflow JSON and import it into your n8n instance. 2. **Configure Credentials**: - **OpenAI**: Add your API Key. - **WordPress**: Add your API credentials. - **Buffer**: Add your API credentials. - **Google Sheets**: Add your OAuth2 credentials. 3. **Customize Workflow Nodes**: - **Node 1 (`WordPress Trigger`)**: Select your WordPress credential. You can also add other trigger nodes like `RSS Feed Read Trigger` if needed. - **Node 2 (`OpenAI`)**: You can customize the prompt to get different kinds of output or translate into more languages. - **Node 4 (`Buffer`)**: Select the social media profiles you want to post to. - **Node 5 (`Google Sheets`)**: Replace the placeholder `[YOUR SPREADSHEET ID]` and `[YOUR CONTENT LOG SHEET NAME]` with your own details and map the data columns. 4. **Save & Activate**: Once all settings and credentials are configured, save the workflow and click the Inactive toggle in the top-right corner to make it live.
n8n$9.99
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