About
The Trello MCP Server enables AI hosts like Claude to interact with Trello boards, lists, and cards. It supports direct integration with the Claude Desktop app or runs as an SSE server for any MCP-compatible client.
Capabilities

The Trello MCP Server bridges the gap between AI assistants and project management workflows by exposing a rich set of Trello operations over the Model Context Protocol. Developers can let Claude or any MCP‑compatible client read, create, update, and delete boards, lists, and cards without leaving the conversational interface. This eliminates context switching between a browser or desktop app and an AI session, making it possible to manage agile boards, track tasks, or audit progress entirely through natural language.
At its core, the server authenticates with Trello using an API key and token that are supplied in a simple file. Once running, it offers three primary categories of actions: Board Operations, List Operations, and Card Operations. Each category includes intuitive verbs such as create, list, update, and delete, allowing a user to, for example, “create a new board named ‘Sprint 12’” or “move card #34 to the ‘Done’ list.” The server’s responses are formatted as structured JSON, which the AI can parse and embed back into the conversation, ensuring that downstream tools or workflows can consume the data reliably.
The Trello MCP Server supports multiple deployment modes to fit different development environments. In Claude App Mode, it runs as a local extension that automatically registers with the Claude Desktop app, providing instant tool access. For teams that prefer a lightweight server or need to integrate with other MCP clients, the SSE Server Mode exposes the same capabilities over a standard HTTP endpoint. A Docker Compose configuration is also available, making it straightforward to deploy in containerized infrastructures or CI pipelines. This flexibility means the server can be used both for rapid prototyping and production-grade integrations.
Real‑world scenarios that benefit from this server include automated sprint planning—where an AI assistant can generate user stories, estimate effort, and populate a Trello board; continuous integration dashboards that push build status updates to specific cards; or knowledge‑base automation, where meeting notes are parsed and converted into actionable tasks. By providing a single, well‑documented interface, developers can write custom prompts that orchestrate complex project workflows, reducing manual effort and minimizing the risk of data loss or miscommunication.
Unique advantages of the Trello MCP Server lie in its minimal configuration, native support for both desktop and server‑side clients, and a clean separation of concerns: the server handles authentication and API translation while the AI focuses on intent understanding. This design not only speeds up development but also ensures that security best practices—such as keeping API keys out of client code—are respected. For any developer looking to embed Trello into conversational AI or build sophisticated project‑management bots, this MCP server offers a powerful, plug‑and‑play solution.
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