Claude Automation Workflows
179 ready-made Claude workflows for n8n, Make, Zapier, Activepieces, and Pipedream. Anthropic Claude-powered analysis, drafting, and agent workflows.
Explore Sequential, Agent-Based, and Parallel LLM Processing with Claude 3.7
This workflow showcases three methods for chaining LLM operations using Claude 3.7: sequential, agent-based, and parallel processing. Each method offers unique benefits in terms of implementation, performance, and context management.
n8n$24.99Daily Calendar Digest: Format Google Calendar Events with Claude 3.5 Sonnet for Telegram
## How it works Every day at 6:00 AM, the workflow pulls all events from your Google Calendar scheduled for that day. It extracts each event's ID, title, and start time, aggregates them into one list, and converts them into a text string. This text is passed to an AI-powered Information Extractor (using Claude 3.5 Sonnet) to format the events into a clear daily summary. Finally, the summary is sent as a Telegram message to your chosen chat ID, giving you a ready-to-read daily to-do list. ## How to use - Connect your Google Calendar account to the Get many events node. - Set the correct calendar in the calendar field. - Link your Telegram account and set your chatId in the Send a text message node. - Adjust the Schedule Trigger node if you want a different reminder time. - Activate the workflow - it will run daily and send your event summary to Telegram automatically. ## Customising this workflow - Reminder time: Change triggerAtHour in the Schedule Trigger node for morning, evening, or multiple reminders per day. - Calendar source: Switch to another Google Calendar or add multiple Get many events nodes for different calendars. - Message style: Edit the Information Extractor system prompt to change language, formatting, or level of detail in your summary. - Delivery channel: Replace or add another messaging node (e.g., Email, Slack, WhatsApp) if you want your to-do list in different apps. - Event filtering: Add a filter before aggregation to include only certain event types or keywords (e.g., "Meeting", "Deadline").
n8n$9.99Batch Process Text Prompts with Anthropic Claude API
Efficiently send multiple text prompts to Anthropic's Claude models in a single batch request and retrieve results, optimizing processing time and scalability.
n8n$19.99PostgreSQL Conversational Agent with Claude & DeepSeek (Multi-KPI, Secure)
# Conversational PostgreSQL Agent Enable AI-driven conversations with your PostgreSQL database using a secure and visual-free agent powered by n8n's Model Context Protocol (MCP). This template allows users to ask multiple KPIs in a single message, returning consolidated insights - more efficient than the original Conversing with Data template. --- ## Why This Template Unlike the Conversing with Data workflow, which handles one KPI per message, this version: - Supports multi-KPI questions - Returns structured, human-readable reports - Uses fewer AI calls, making it faster and cheaper - Avoids raw SQL execution for enhanced security **Estimated cost per full multi-request run: ~$0.01** This template is optimized for efficiency. Each message can return 2-4 KPIs (You can change the MaxIteration of the Agent to make it more, it is currently set up at 30 iterations) using a single Claude 3.5 Haiku session and DeepSeek-based SQL generation - balancing speed, reasoning, and affordability. --- ## Sample Use Case **User:** "Can you show product performance, revenue trends, and top 5 customers?" **Agent:** - Uses `Listables` and `GetableSchema` - Generates three SQL queries using `get_query_and_data` - Returns: **Product Performance** 1. High-Waist Jeans - 10 units, $1,027 revenue 2. Denim Jacket - 10 units, $783 revenue **Sales Trends** - Peak Month: January 2024 - 32 units, $2,378 - Average Monthly Units: 10-16 **Customer Insights** 1. Bob Brown - $1,520 spent 2. Diana Wilson - $925 spent All from one natural prompt. --- ## Real-World Interaction Screenshot  --- ## What's Inside | Node | Purpose | |----------------------------|-----------------------------------------------------------| | MCP Server Trigger | Receives user queries via `/mcp/...` | | AI Agent + Memory | Understands and plans multi-step queries | | Think Tool | Breaks down the user's question into structured goals | | get_query_and_data | Generates SQL securely from natural language | | Listables, GetSchema | AI tools to explore DB safely | | Read/Insert/Update Tools | Execute structured operations (never raw SQL) | | checkdatabase Subflow | Validates SQL, formats response as clean text | --- ## Model Selection Recommendations This template uses two types of models, selected for cost-performance balance and role alignment: **1. Claude 3.5 Haiku (Anthropic) - for the MCP Agent** The main conversational agent uses Claude 3.5 Haiku, ideal for MCP because it was built by Anthropic - the creators of the MCP standard. It's fast, affordable, and performs excellently in tool-calling and reasoning tasks. **2. DeepSeek - for the SQL subworkflow** The subworkflow that turns natural language into SQL uses DeepSeek. It's one of the most affordable and performant models available today for structured outputs like SQL, making it a perfect fit for utility logic. This setup provides top-tier reasoning + low-cost execution. --- ## Security Benefits - No raw SQL accepted from the user or LLM - All queries are parameterized - Schema is dynamically retrieved - Final output is clean, safe, and human-readable --- ## Try a Prompt > "Show me the top 5 products by units sold and revenue, total monthly sales trend, and top 5 customers by spending." In one message, the agent will: - Generate and run multiple queries - Use the schema to validate logic - Return a single, comprehensive answer --- ## How to Use 1. Upload both workflow files into your n8n instance: - `Build_your_own_PostgreSQL_MCP_server_No_visuals_.json` - `checkdatabase.json` 2. Set up PostgreSQL credentials (e.g., "Postgres account 3") 3. Confirm model setup: - Claude 3.5 Haiku for the main agent - DeepSeek for the subflow 4. Use the `/mcp/...` URL from the MCP Server Trigger to connect your frontend or chatbot 5. Ask questions naturally - the agent takes care of planning, querying, and formatting --- ## Customization Ideas - Swap Claude or DeepSeek for OpenAI, Mistral, Gemini, etc. - Export insights to Slack, Notion, or Google Sheets - Add Switch nodes to control access to specific tables - Integrate with any front-end app, internal dashboard, or bot --- ## What's Included - `Build_your_own_PostgreSQL_MCP_server_No_visuals_.json` - MCP agent logic - `checkdatabase.json` - SQL generation and formatting utility workflow These must be uploaded into your n8n workspace for the template to function. --- ## Comparison: Conversing with Data vs This Workflow | Feature | Conversing with Data | This Workflow |
n8n$14.99Generate Data Pipeline Blueprints with Claude 3.5, Slack, and Tavily Search
## Architecture Agent ## Overview The Architect Agent listens to Slack messages and generates full data architecture blueprints in response. Powered by Claude 3.5 (Anthropic) for reasoning and design, and heavily for real-time web search, this agent creates production-ready data pipeline scaffolds on-demand - transforming natural language prompts into structured data engineering solutions. ## Capabilities - Understands and interprets user requests from Slack - Designs end-to-end data pipeline architectures using industry best practices. - Outputs include high-level architecture diagrams ## Required Connections To operate correctly, the following integrations must be in place: - Slack API token with permission to read messages and post responses - Heavily API Key for external search functionality - Claude 3.5 API Access via Anthropic Detailed configuration instructions are provided in the workflow. ## Setup time <15 minutes ## Example input: Create a data pipeline orchestrated by Airflow, running on a Docker image. It should connect to a MySQL database, load the data into a PostgreSQL DB (incremental load), and then transform the data into business-oriented tables also in the PostgreSQL database. Create an example setup with raw sales data. ## Customizing this workflow Try saving outputs to Google Drive to store all your architecture blueprints.
n8n$14.99Intelligent B2B Lead Gen with Scrapeless & Claude AI
Automates B2B lead discovery via Google search, website crawling, AI qualification with Claude, and Discord notifications. Ideal for targeted sales in healthcare lab results.
n8n$24.99YouTube to Viral X Threads by Keywords (Gemini & Claude)
Automates discovering high-view YouTube videos via keywords, analyzes them with Gemini, and generates viral X threads using Claude patterns.
n8n$24.99PDF Data Extraction & Comparison: Claude vs Gemini
Extracts and processes PDF data directly using Claude 3.5 Sonnet and Gemini 2.0 Flash in one step, bypassing OCR. Compares results, latency, and costs via dashboard.
n8n$14.99Personalized Startup Ideas with Claude AI & Gmail Reports
Generates tailored startup ideas from your skills, analyzes viability with Claude AI agents, and emails comprehensive VC-style reports. Perfect for developers and entrepreneurs validating concepts.
n8n$22.99AI Cost Estimation from Revit/IFC Models with GPT-4 & Claude
Automates material pricing and total cost estimation for BIM/CAD elements using LLMs, from XLSX or Revit/IFC files, generating multi-sheet Excel and HTML reports.
n8n$24.99AI-Powered Daily Calendar & Meeting Digest with Gmail & GPT-4o/Claude
Automates a morning executive brief via email, pulling Google Calendar events, enriching attendees with AI insights from emails, Hunter, and LinkedIn, then summarizing with GPT-4o or Claude.
n8n$24.99Multi-Platform Price Finder: Scraping with Bright Data, Claude AI & Telegram
Automates real-time product price scraping from Amazon, Wayfair, Lowe's using Bright Data, generates AI-powered promo messages with Claude, and sends deal alerts via Telegram for affiliate marketing and price tracking.
n8n$24.99Automate Web Research with GPT-4, Claude & Apify for Insights
Automates comprehensive web research by scraping authoritative sources, analyzing with AI models like GPT-4 and Claude, and extracting top insights. Ideal for competitive analysis, market research, and reports.
n8n$24.99Automated Animal Advocacy News Research & Weekly Digest with Claude AI & Serper
Automates weekly research on animal rights, welfare, veganism news using AI and Serper, compiling verified past-week articles into a structured HTML email digest for advocacy organizations.
n8n$24.99Automate Chat Completions with Perplexity AI and Claude from Google Sheets Updates
Automatically generate chat completions in Perplexity AI and Claude when new rows are added to Google Sheets. This workflow enhances communication by integrating AI responses directly into your spreadsheet.
Make$4.99Automate Long Article Creation with Claude & WordPress Posting
This workflow fetches blog ideas from Google Sheets daily, uses Claude AI to generate titles, headlines, and full articles, then publishes directly to WordPress. Ideal for automated content marketing in e-commerce.
n8n$17.99Send messages to Anthropic Claude for new Airtable records updates
A ready-to-use Make workflow that connects Airtable, Anthropic-claude. Send messages to Anthropic Claude for new Airtable records updates. Customize and deploy in minutes.
Make$3.99Automate Brand Strategy Creation with Anthropic Claude and Google Docs
Leverage Anthropic Claude's AI and Google Docs to automate the creation of a comprehensive brand strategy. This workflow streamlines the process, ensuring your branding efforts are well-documented and easily accessible.
Make$9.99Automate PDF Invoice Data Extraction with Google Drive, Claude AI & Telegram
This workflow automates the extraction and tracking of data from PDF invoices stored in Google Drive. By leveraging Claude AI's advanced extraction capabilities, it retrieves essential information such as invoice numbers, client details, and due d...
n8n$19.99Create AI-Ready Vector Datasets from Web Content with Claude, Ollama & Qdrant
Automates extraction of web content via Scrapeless, structures it with Claude AI, generates embeddings using Ollama, and stores in Qdrant for semantic search.
n8n$24.99Voice Notes to AI Responses: Claude Sonnet, Nuclino & Slack
Automates processing of voice notes into structured AI responses via Claude Sonnet, creates Nuclino docs, sends Slack alerts, and archives in NocoDB.
n8n$22.99Automate Company ICP Scoring with Explorium & Claude AI
Automates Ideal Customer Profile (ICP) scoring for companies using Explorium data enrichment and Claude AI analysis across strategic fit, tech readiness, and reachability pillars.
n8n$24.99Send messages to Anthropic Claude (2 prompts) and respond via webhook
A ready-to-use Make workflow that connects Gateway, Anthropic-claude. Send messages to Anthropic Claude (2 prompts) and respond via webhook. Customize and deploy in minutes.
Make$4.99Process Voice Notes to AI Responses with Claude, Sonnet, Nuclino, & Slack
This workflow provides a way to capture detailed AI prompts using a voice note transcription service and then passes them on for completion to an AI agent. To preserve outputs in a knowledge management system, the AI response and the prompt are combined into one document that is created in a Nuclino collection (note: the Nuclino step is configured manually with an HTTP request node). ### How it works - A webhook receives voice note data from Voicenotes.com containing the title and transcript. - The transcript is extracted and sent to an AI Agent powered by OpenRouters' Claude Sonnet model. - The AI generates a structured response in markdown format with Summary, Prompt, and Response sections. - The original prompt and AI response are merged and prepared for multiple outputs. - A Nuclino document is created via HTTP Request with the structured content. - A Slack notification is sent with the prompt, response, and Nuclino note URL. - Both the original prompt and AI response are archived in NocoDB for future reference. ### How to use - The webhook trigger can be configured to receive data from Voicenotes.com or any service that provides title and transcript data. - Replace the manual trigger with webhook, form, or other triggers as needed. - Customize the AI system message to change response format and behavior. - Configure Nuclino workspace and collection IDs for proper document organization. ### Requirements - **OpenRouter account** for AI model access (Claude Sonnet). - **Nuclino account** and API token for document creation. - **Slack workspace** with bot permissions for notifications. - **NocoDB instance** for archiving (optional). - **Voicenotes.com account** for voice input (or alternative webhook source). ### Customizing this workflow - **AI Models**: Switch between different OpenRouter models by changing the model parameter. - **Response Format**: Modify the AI Agent system message to change output structure. - **Documentation Platforms**: Replace Nuclino HTTP Request with other documentation APIs. - **Notification Channels**: Add multiple Slack channels or other notification services. - **Archive Storage**: Replace NocoDB with other database solutions. - **Input Sources**: Adapt webhook to accept data from different voice note or transcription services. ### Nuclino API The Nuclino API is documented [here](https://www.nuclino.com/api).
n8n$14.99
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