What Trello operations does the server support?
Currently, the server only provides the `get_trello_cards_by_board_id` tool to retrieve all cards from a given board. Additional tools can be added following the guide in the README.
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基本信息
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工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A Model Context Protocol server that exposes Trello API functionality as MCP tools, enabling AI assistants to interact with Trello boards and cards programmatically. It is intended for developers building AI‑powered workflows that need to read Trello data.
Clone the repository, install dependencies with pnpm or npm, copy .env.example to .env, and set the required environment variables (Trello API key, token, and base URL). Start the server with pnpm start or npm start. Once running, AI clients can call the get_trello_cards_by_board_id tool with a board ID to retrieve all cards from that board.
get_trello_cards_by_board_id.pnpm dev).Currently, the server only provides the `get_trello_cards_by_board_id` tool to retrieve all cards from a given board. Additional tools can be added following the guide in the README.
Node.js (version specified in `.nvmrc`), pnpm or npm, and a Trello API key and token obtained from Trello’s Developer Portal.
Go to the Trello Developer Portal (https://developer.atlassian.com/cloud/trello/guides/rest-api/api-introduction/) to generate an API key and a token.
It runs locally as a Node.js process. Data is fetched in real time from Trello’s public API; no local storage of Trello data is mentioned.
The server uses standard MCP tool calls. Authentication to Trello is handled via the API key and token supplied in the environment variables. No other transports (e.g., stdio, HTTP) are specified in the README.

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