by Wildan Adli
This workflow acts as an autonomous Chief Solution Officer, automating the process of deep market research. Instead of simply tracking video views, it scrapes deep into YouTube data—including descriptions and top 20 comments—to identify the real "Decision Confusion" and "Operational Pain Points" of your target audience. By analyzing what competitors are missing and what their audience is actually complaining about, it generates five data-backed, strategic content ideas that focus on high-level business logic rather than generic advice. Use cases are many: Competitor Gap Analysis:** Identify specific topics your niche is ignoring but the audience is begging for. Content Strategy Automation:** Shift your output from basic tutorials to "System-Thinking" content that attracts decision-makers. Market Voice Extraction:** Capture the literal "voice of the customer" from thousands of comments without manual reading. Good to know Strategic Persona:** The AI Agent uses a "Sage + Ruler" archetype to ensure professional, objective, and high-value output. Deep Scraping:** Powered by Firecrawl, it bypasses basic metadata to read actual audience sentiment in the comments section. Sentence Case:** All outputs and headers follow n8n’s preferred capitalization standards. How it works Targeting: You define your niche or search keyword in the initial configuration node. Data Extraction: Firecrawl searches YouTube and scrapes the most relevant video details and comment threads. AI Logic: The OpenAI node analyzes the "Audience Voice" to find patterns of frustration and unmet needs. Strategizing: It converts these insights into 5 actionable content briefs with unique strategic angles. Storage: All insights and content ideas are automatically organized and saved into your Notion workspace. Setup steps Firecrawl: Get your API Key from firecrawl.dev and add it to the Header Auth in the HTTP nodes. OpenAI: Connect your OpenAI credentials (GPT-4o recommended for best results). Notion: Connect your Notion account and prepare two databases for "Insights" and "Ideas." Configuration: Enter your target keyword in the 'Set Niche' node and run the workflow. Requirements Firecrawl API Key OpenAI API Key Notion Integration
by Blaine Holt
B2B Lead Enrichment | Attio CRM This n8n template automates B2B lead research and enrichment for Attio CRM. It combines data from Apollo.io, LinkedIn scraping, and news sources with AI-powered analysis to generate actionable sales intelligence - turning hours of manual BDR research into minutes. Who is this for? Sales teams using Attio CRM who want to reduce time spent on lead research BDRs/SDRs who need rich prospect context before outreach Revenue operations teams looking to automate CRM enrichment at scale What problem does this workflow solve? Before reaching out to a prospect, sales reps typically spend 15-30 minutes researching company background, recent news, leadership team, and LinkedIn activity. This workflow automates that entire research process, freeing BDRs to focus on relationship building instead of data gathering. How it works Trigger: Manually execute (adapt to webhook or form trigger for automation) Apollo Enrichment: Fetches comprehensive company data by domain Parallel Processing: Three branches run simultaneously: News articles → Tavily extraction → AI summary LinkedIn company page → Scrape Creators → AI summary Leadership search (with web search) → Apollo person lookup → LinkedIn profiles → AI summary Validation: An LLM Critic agent verifies all claims using web search Final Output: Lead Enrichment Agent generates a structured dossier CRM Sync: Updates Attio company and people records Good to Know Estimated API Costs (per enrichment): Apollo.io: Varies by plan (credits-based) Scrape Creators: ~$0.01-0.05 per profile Tavily: ~$0.01 per extraction OpenAI GPT-4o: ~$0.10-0.30 depending on content length Rate Limits: Leadership profiles are processed sequentially to respect API limits. For bulk enrichment, consider adding delays between executions. Requirements Apollo.io account with API access Scrape Creators API key (for LinkedIn scraping) Tavily API key (for article extraction) OpenAI API key (GPT-4o model access) Attio CRM account with API access Setup Import the workflow into n8n Configure credentials for each service: Apollo API (HTTP Header Auth with x-api-key) Scrape Creators API Tavily API OpenAI API Attio API Add these custom fields to your Attio Companies object: positioning (text) conversation_points (text) leadership_conversations (text) enrichment_status (select with "complete" option) Test with a single domain before running at scale Customizing this workflow Trigger: Replace manual trigger with a webhook (real-time enrichment on new leads) or schedule node (batch processing) AI Prompts: Adjust the system prompts in AI agents to match your industry or ideal customer profile Output Fields: Modify the final Code node to map to your specific Attio field structure News Timeframe: Change the 6-month lookback in Apollo:LatestNews to your preferred range Leadership Depth: Adjust the number of leadership profiles to enrich based on your needs Made by www.fenrirlabs.nl
by Angel Menendez
Enhance Security Operations with the Venafi Slack CertBot! Venafi Presentation - Watch Video Our Venafi Slack CertBot is strategically designed to facilitate immediate security operations directly from Slack. This tool allows end users to request Certificate Signing Requests that are automatically approved or passed to the Secops team for manual approval depending on the Virustotal analysis of the requested domain. Not only does this help centralize requests, but it helps an organization maintain the security certifications by allowing automated processes to log and analyze requests in real time. Workflow Highlights: Interactive Modals**: Utilizes Slack modals to gather user inputs for scan configurations and report generation, providing a user-friendly interface for complex operations. Dynamic Workflow Execution**: Integrates seamlessly with Venafi to execute CSR generation and if any issues are found, AI can generate a custom report that is then passed to a slack teams channel for manual approval with the press of a single button. Operational Flow: Parse Webhook Data**: Captures and parses incoming data from Slack to understand user commands accurately. Execute Actions**: Depending on the user's selection, the workflow triggers other actions within the flow like automatic Virustotal Scanning. Respond to Slack**: Ensures that every interaction is acknowledged, maintaining a smooth user experience by managing modal popups and sending appropriate responses. Setup Instructions: Verify that Slack and Qualys API integrations are correctly configured for seamless interaction. Customize the modal interfaces to align with your organization's operational protocols and security policies. Test the workflow to ensure that it responds accurately to Slack commands and that the integration with Qualys is functioning as expected. Need Assistance? Explore Venafi's Documentation or get help from the n8n Community for more detailed guidance on setup and customization. Deploy this bot within your Slack environment to significantly enhance the efficiency and responsiveness of your security operations, enabling proactive management of CSR's.
by David Ashby
Complete MCP server exposing all LinkedIn Tool operations to AI agents. Zero configuration needed - all 1 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 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 LinkedIn Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n LinkedIn Tool tool with full error handling 📋 Available Operations (1 total) Every possible LinkedIn Tool operation is included: 🔧 Post (1 operations) • Create a post 🤖 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 LinkedIn 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 LinkedIn 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 Ashby
Complete MCP server exposing all Google Translate Tool operations to AI agents. Zero configuration needed - all 1 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 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 Google Translate Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Google Translate Tool tool with full error handling 📋 Available Operations (1 total) Every possible Google Translate Tool operation is included: 🔧 Language (1 operations) • Translate a language 🤖 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 Google Translate 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 Google Translate 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 Ashby
🛠️ Google Cloud Natural Language Tool MCP Server Complete MCP server exposing all Google Cloud Natural Language Tool operations to AI agents. Zero configuration needed - all 1 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 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 Google Cloud Natural Language Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Google Cloud Natural Language Tool tool with full error handling 📋 Available Operations (1 total) Every possible Google Cloud Natural Language Tool operation is included: 🔧 Document (1 operations) • Analyze sentiment 🤖 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 Google Cloud Natural Language 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 Google Cloud Natural Language 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 Ashby
🛠️ Dropcontact Tool MCP Server Complete MCP server exposing all Dropcontact Tool operations to AI agents. Zero configuration needed - all 2 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 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 Dropcontact Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Dropcontact Tool tool with full error handling 📋 Available Operations (2 total) Every possible Dropcontact Tool operation is included: 📇 Contact (2 operations) • Find B2B emails • Fetch Request Contact 🤖 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 Dropcontact 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 Dropcontact 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 Ashby
🛠️ DHL Tool MCP Server Complete MCP server exposing all DHL Tool operations to AI agents. Zero configuration needed - all 1 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 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 DHL Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n DHL Tool tool with full error handling 📋 Available Operations (1 total) Every possible DHL Tool operation is included: 🔧 Shipment (1 operations) • Get tracking details for a shipment 🤖 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 DHL 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 DHL 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 AI/ML API | D1m7asis
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Generate Veo3 Videos via AI/ML API, Save to Google Drive and Upload to YouTube Transform your content creation process by automating video generation with AI, publishing to YouTube, and logging results in Google Sheets. This workflow is ideal for content creators, marketers, and social media managers looking to streamline video production and distribution. How it works Trigger: Start the workflow manually or on a scheduled interval (e.g., every hour). Generate Video: Send a request to the AI/ML API to create video content based on predefined prompts and settings. Monitor Status: Poll the AI/ML API until the video generation is completed, with retry logic for reliability. Download & Upload: Retrieve the generated video file and upload it to your connected YouTube channel. Title Generation: Generate a YouTube title using AI to optimize for engagement. Log Results: Update a Google Sheet with video metadata and the YouTube URL for tracking and analytics. Set up steps Connect Credentials: Add OAuth2 credentials for AI/ML API, YouTube, and Google Sheets in n8n Credentials. Configure Nodes: Rename nodes for clarity (e.g., Generate Video, Upload to YouTube) and set up the HTTP Request node to use your AI/ML API credential. Sheet Preparation: Create a Google Sheet with columns for Date, Prompt, Video ID, and YouTube URL. Schedule: If using scheduling, configure the Schedule Trigger interval (e.g., every 60 minutes). Test & Deploy: Run a manual trigger, verify video generation, upload, and sheet entry, then activate the workflow for automation.
by David Ashby
Complete MCP server exposing 1 Article Search 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 Article Search 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 Article Search 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 http://api.nytimes.com/svc/search/v2 • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent 📋 Available Operations (1 total) 🔧 Articlesearch.Json (1 endpoints) • GET /articlesearch.json: Search Articles 🤖 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 Article Search 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 Angel Menendez
Who’s it for This template is perfect for OMI pendant users or anyone with AI-generated memory transcripts who want to: Automatically create daily journals in Markdown Extract actionable tasks from conversations Store memories in Google Drive Sync action items to Google Tasks Great for creators, ADHD professionals, techies, or productivity hackers who want to build a second brain workflow with no manual data entry. What it does / How it works This workflow: Accepts POST data from the OMI AI pendant (via webhook) Extracts structured summaries, tasks, events, and raw transcript data Converts the transcript into Markdown using metadata like emoji, category, and overview Uses Google Gemini or an AI Agent to generate a high-quality journal entry Splits out action items and creates tasks in Google Tasks Uploads both the transcription and the final journal file into separate Google Drive folders for archival Deletes processed files if needed (cleanup path is included) How to set up Connect your OMI device to send daily summaries to the webhook endpoint Authenticate your Google Drive and Google Tasks accounts Replace any hardcoded values (like folder IDs or task list IDs) with your own Review the system prompt in the AI Agent node if you'd like to personalize your journal style ## Requirements OMI pendant or device that generates .md summaries via API or webhook Google Drive & Google Tasks credentials set up in n8n Optional: Google Gemini or OpenAI for natural language journal generation ## How to customize Change the output folder IDs for GDrive in the Upload Transcription and Upload Journal nodes. One folder is for long term storage and the other is short term, the contents of which are deleted every night to generate the journal entries. Ensure your workflow timezone is set correctly in the settings. Replace Google Tasks with another todo app (e.g. Notion, Todoist) using HTTP or native nodes Customize the AI prompt in the AI Agent or Gemini Chat node to reflect your tone (e.g., poetic, minimalist, spiritual) Modify the Markdown format in the Build Markdown Transcription node for your preferred structure
by David Ashby
🛠️ SIGNL4 Tool MCP Server Complete MCP server exposing all SIGNL4 Tool operations to AI agents. Zero configuration needed - all 2 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 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 SIGNL4 Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n SIGNL4 Tool tool with full error handling 📋 Available Operations (2 total) Every possible SIGNL4 Tool operation is included: 🔧 Alert (2 operations) • Send an alert • Resolve an alert 🤖 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 SIGNL4 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 SIGNL4 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.