Manage Trello tasks with AI assistants via MCP server
A lean MCP Server that exposes the essential Trello tools for everyday task management. Built for clean, reliable LLM automation with n8n, ChatGPT, or Gemini. Description A minimal MCP Server offering the core Trello operations—create, update, search, list, and comment—designed to keep task management simple and predictable. Each tool has a clear, LLM-friendly schema, ensuring safe automation without heavy context or complex payloads. Use it to create tasks, move cards between lists, update details, add comments, or retrieve board structure. All through natural language. --- ⭐ Key Features Lean Toolset – only the operations needed for real task flows LLM-Ready – minimal, explicit parameters for safe execution Extendable – add more Trello endpoints or custom logic easily Predictable Updates – partial updates with safe defaults MCP + Tool Calling – works in n8n Agents, ChatGPT, Gemini, and MCP clients --- 🧠 Examples (Natural Language) “What tasks do I still have pending from last week?” → Searches by due date and status for weekly planning. “Move all tasks due yesterday into today’s list and add a ‘rescheduled’ comment.” → Combines search + update + comment. “Create a new card called ‘Prepare onboarding materials’ for next Monday.” → Simple card creation with due date handling. --- ⚙️ How It Works This MCP Server exposes 6 core tools: 📥 Create Card Create tasks with title, description, and optional due date. 🔍 Search Cards Find cards using Trello’s native search syntax (keywords, lists, due filters). 🗂 List Backlog & List All Lists Provide structure and situational awareness for agents. ✏️ Update Card Rename, update description, adjust due dates, or move cards. 💬 Add Comment Add quick notes to any card without modifying other fields. --- 🔐 Required Credentials | Service | Use | |--------|-----| | Trello API | API Key + Token for card, list, search, and comment operations | Use a dedicated Trello automation token for clean audit logs. Please check Authorizing With Trello's REST API --- 🧰 Customization Tips Replace board/list IDs with your own Add labels, checklists, or custom fields if needed Add domain logic (priority rules, conventions, or workflows) Use listalllists in agents to give LLMs workflow awareness --- 🧠 Who It’s For Automation builders exploring MCP AI assistants for personal task planning Teams with simple Trello workflows Consultants building lightweight agents --- 🚀 Try It Out 1) Import the MCP workflow into n8n 2) Add your Trello API credentials 3) Replace IDs with your board/list values 4) Test with ChatGPT or Gemini via natural-language prompts 5) (Optional) Register it as an MCP Server in VS Code or any MCP client --- 💬 Feedback Welcome This MCP Server is intentionally simple and extendable. If you adapt or evolve it, I’d love to hear your ideas. 📧 ascuncia.es@gmail.com 🔗 Linkedin
By Alejandro ScunciaTriage product UAT feedback with OpenAI, Notion, Slack and Gmail
Description Automatically triage Product UAT feedback with AI, deduplicate it against your existing Notion backlog, create/update the right Notion item, and close the loop with the tester (Slack or email). This workflow standardizes incoming UAT feedback, runs AI classification (type, severity, summary, suggested title, confidence), searches Notion to prevent duplicates, and upserts the roadmap entry for product review. It then confirms receipt to the tester and returns a structured webhook response. Context Feature requests often arrive unstructured and get lost across channels. Product teams waste time re-triaging the same ideas, creating duplicates, and manually confirming receipt. This workflow ensures: Faster feature request triage Fewer duplicates in your roadmap/backlog Consistent structure for every feedback item Automatic tester acknowledgement Full traceability via webhook response Who is this for? Product Managers running UAT or beta programs Product Ops teams managing a roadmap backlog Teams collecting feature requests via forms, Slack, or internal tools Anyone who wants AI speed with clean backlog hygiene Requirements Webhook trigger (form / Slack / internal tool) OpenAI account (AI triage) Notion account (roadmap/backlog database) Slack and/or Gmail (tester notification) How it works Trigger: feedback received via webhook Normalize & Clean: standardizes fields and cleans message AI Triage: returns structured JSON (type, severity, title, confidence…) Notion Dedupe & Upsert: search by suggested title → update if found, else create Closed Loop: notify tester (Slack or email) + webhook response payload What you get One workflow to capture and structure feature requests Clean Notion backlog without duplicates Automatic tester confirmation Structured output for downstream automation About me : I’m Yassin a Product Manager Scaling tech products with a data-driven mindset. 📬 Feel free to connect with me on Linkedin
By Yassin Zehar