Block 1 - MCP Trello
- Type / Role
- @n8n/n8n-nodes-langchain.mcpTrigger - mcpTrigger
- Config choices
- Version 2
This workflow is provided as-is. Please review and test before using in production.
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 offer...
@n8n/n8n-nodes-langchain.mcptrigger, n8n-nodes-base.trellotool, n8n-nodes-base.httprequesttool, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Alejandro Scuncia.
Original n8n.io sourceA lean MCP Server that exposes the essential Trello tools for everyday task management. Built for clean, reliable LLM automation with n8n, ChatGPT, or Gemini.
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.
“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.
This MCP Server exposes 6 core tools:
Create tasks with title, description, and optional due date.
Find cards using Trello’s native search syntax (keywords, lists, due filters).
Provide structure and situational awareness for agents.
Rename, update description, adjust due dates, or move cards.
Add quick notes to any card without modifying other fields.
| 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
list_all_lists in agents to give LLMs workflow awarenessThis MCP Server is intentionally simple and extendable.
If you adapt or evolve it, I’d love to hear your ideas.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Manage Trello tasks with AI assistants via MCP server |
|---|---|
| Complexity | advanced |
| Nodes | 15 |
| Categories | Project Management, AI Chatbot |
| Author | Alejandro Scuncia |
| Published | 24 Nov 2025 |
Use the JSON export at /data/workflows/11202/11202.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
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 offer...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Project Management, AI Chatbot use case.