Ask your PostgreSQL database complex questions and receive clear summaries, charts, and even update or insert data — al…
Ask your PostgreSQL database complex questions and receive clear summaries, charts, and even update or insert data — all through one smart agent powered by n8n’s Model Context Protocol (MCP). Supports: Multi-KPI insights in one prompt Auto-generated QuickChart bar/pie charts Natural-language inserts and updates Markdown-friendly output for dashboards 🚀 Why This Version Stands Out This version goes beyond reporting: 📈 Auto-generates charts (QuickChart) 🧮 Answers multiple KPIs in one message ✍️ Add and update records securely 🧠 Uses up to 30 planned steps for smart reasoning 💰 Estimated cost per run: ~$0.02 💬 Example Output 🧰 Key Components MCP Server Trigger → Receives natural queries Claude 3.5 Haiku → Plans, reasons, splits tasks DeepSeek → SQL and QuickChart generation checkdatabase subflow → Validates SQL Plot Tool → Converts data to QuickChart URLs Insert/Update nodes → Edits PostgreSQL records Markdown Formatter → Combines output into readable message 🤖 Model Configuration Notes This workflow uses two models: Claude 3.5 Haiku (Anthropic) Used as the MCP agent for reasoning, planning, and tool calling. Claude is the native model for MCP and delivers reliable results in fewer steps. DeepSeek Used in: checkdatabase for SQL generation Plot Tool for QuickChart JSON generation 🧠 All models are modular — you can plug in OpenAI, Gemini, or Mistral if desired. 🔐 Security by Design No raw SQL from user input Fully parameterized queries Structured tool calling with validation Safe output format (text + chart links) 🧪 Try This Prompt > “Show me top 5 products by revenue, revenue per month chart, and best customers.” Expected output: 3 KPIs Multiple SQL queries 2–3 QuickChart links Markdown summary for dashboard/Slack 🛠 How to Use Import: Build_your_own_PostgreSQL_MCP_server__visuals_capable_.json checkdatabase.json Plot_tool.json Create your PostgreSQL credential under “Credentials” in n8n: Must match the name used in the workflow (e.g., Postgres account 3) Assign AI models: Claude 3.5 Haiku → MCP agent (Claude 3.5 MCP Agent) DeepSeek → LLM nodes inside checkdatabase and Plot Tool Trigger the workflow using the URL from the MCP Server Trigger node (e.g., in a chatbot, HTTP request, or Webhook UI) 📦 End-User Setup Guide If you're using this template for the first time, follow these exact steps: Go to your n8n dashboard and import all three workflows (main + subflows) Create a PostgreSQL credential using your host, database, user, and password Go to the Claude and DeepSeek nodes, and connect them to your account(s) Use the Webhook URL in the MCP Server Trigger to connect your chatbot or frontend Send a prompt like: “Show me revenue per month, top 5 products, and a chart of best customers.” Optional: You can increase the MCP Agent’s MaxIterations to go deeper (default is 30) You can use Switch nodes to limit access to certain tables or actions Insert/Update nodes are already included and can be safely enabled ✅ Once this is done, your AI assistant will: Read from your database Visualize data via QuickChart Insert or update rows Respond in clear, markdown-formatted summaries 🔗 More Templates by the Same Creator PostgreSQL Conversational Agent with Claude & DeepSeek (Multi-KPI, Secure) Conversing with Data: Transforming Text into SQL Queries and Visual Curves Customer Feedback Analysis with AI, QuickChart & HTML Report Generator. An n8n automation workflow template by hippolyte-hu.
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