Overview

The M0Xai Trello MCP Server bridges the gap between AI assistants and Trello’s task‑management ecosystem. By exposing a set of well‑defined MCP capabilities, it allows Claude (or any compatible AI host) to read and manipulate boards, lists, and cards directly from natural language prompts. This eliminates the need for manual API calls or custom integrations, enabling developers to focus on building conversational experiences rather than plumbing.

At its core, the server provides CRUD‑style operations across three Trello entities. Boards can be enumerated and inspected, while lists and cards support full read/write/update/delete functionality. For developers, this means an AI assistant can create a new task in a specific list with a single utterance, or archive an entire list after confirming the user’s intent. The server handles authentication via Trello API keys and tokens, ensuring that all actions respect the user’s workspace permissions. The result is a secure, declarative interface where AI agents can query state (“Show me all my boards”) and effect change (“Update the description of card X”) without exposing raw API details.

Key features include:

• Granular permissions: Write, update, and delete are limited to lists and cards, preventing accidental board‑level changes while still offering full control over task items.
• Rich metadata access: Each operation returns structured data about boards, lists, and cards, allowing downstream prompts to reference titles, IDs, or custom fields seamlessly.
• Natural‑language friendly: The MCP schema maps directly to intuitive phrases, so developers can craft prompts that feel conversational rather than technical.
• Extensibility: The server’s architecture supports adding new operations or custom logic, making it a flexible foundation for more advanced Trello workflows.

Typical use cases span from personal productivity to team collaboration. A solo developer can let an AI assistant keep a Kanban board up‑to‑date while coding, while a project manager can delegate routine card updates to an assistant that parses meeting notes and automatically creates or moves tasks. In continuous integration pipelines, the server can trigger card movements based on build status, providing real‑time feedback to stakeholders.

Integrating the Trello MCP Server into an AI workflow is straightforward: once installed, any Claude Desktop session automatically discovers the server’s capabilities. Developers can then design prompts that invoke specific board, list, or card actions, and the AI host will translate those into MCP calls. The server’s clear separation of concerns—authentication, request handling, and Trello API interaction—ensures reliability and maintainability. Its unique advantage lies in combining the familiarity of Trello with the conversational power of AI, delivering a seamless experience that reduces friction for both technical and non‑technical users.