Trello MCP Server

The Trello MCP Server bridges the gap between AI assistants and the Trello project‑management platform, enabling seamless interaction with boards, lists, and cards directly from conversational agents. By exposing Trello’s REST API through the Model Context Protocol, developers can give Claude Desktop, GitHub Copilot Chat, or any MCP‑compatible client the ability to read and manipulate project data without leaving the chat interface. This eliminates context switching, streamlines task management, and allows AI to act as a real‑time collaborator that can create, update, or archive cards on demand.

At its core, the server offers a concise set of operations that mirror common Trello workflows: listing all boards for an account, retrieving the contents of a specific board (including lists and cards), creating new cards, moving them between lists, adding comments, and archiving obsolete items. Each action is represented as an MCP resource or tool, making it straightforward for the AI to discover and invoke them through natural language prompts. The ability to treat boards as resources means that an assistant can reference a board by name or ID and automatically pull up its current state whenever needed.

For developers, the value lies in the rapid integration of Trello data into AI‑driven workflows. Whether it’s a project manager asking an assistant to “create a card for the new feature in the Backlog list” or a developer wanting to “move this bug card to In Progress,” the server translates those intents into authenticated API calls. The Docker support further simplifies deployment: a single image can be run in any environment that supports containers, ensuring consistent behavior across local machines, CI pipelines, or cloud hosts.

Real‑world scenarios include automated sprint planning where an AI assistant pulls the latest board snapshot, suggests task prioritization, and creates new cards based on user input. In code review contexts, a Copilot Chat session can fetch the relevant issue card, add a comment with suggested fixes, and move it to “Ready for QA.” For remote teams, the server enables a single conversational channel that keeps everyone aligned on board changes without manual updates or Slack notifications.

Unique advantages of this MCP server stem from its lightweight, language‑agnostic design and the fact that it requires no custom SDKs beyond standard Trello credentials. Developers can extend or customize the toolset by adding new MCP endpoints, and the server’s Docker image guarantees that credentials are handled securely via environment variables. In sum, the Trello MCP Server turns an otherwise siloed project board into a dynamic conversational resource, empowering AI assistants to become proactive partners in agile workflows.