What dependencies are required?
Python and `uv` are required. You must have a Trello API key and token (obtained from trello.com/power-ups/admin). The Notion integration is optional.
@r123singh
Basic information
This is a Model Context Protocol (MCP) server for interacting with Trello API.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"trello-mcp-server-r123singh": {
"command": "uv",
"args": [
"pip",
"install",
"-r",
"uv.lock"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A Model Context Protocol (MCP) server that provides a natural language interface to the Trello API. It allows LLMs to read and modify Trello boards, lists, cards, and members, with an optional Notion integration for publishing cards.
Install dependencies with uv pip install -r uv.lock, configure a .env file with your Trello API key and token, then create a mcp.json file pointing to the server script. Start the server through any MCP client that reads the mcp.json configuration.
Python and `uv` are required. You must have a Trello API key and token (obtained from trello.com/power-ups/admin). The Notion integration is optional.
Create a `.env` file with `TRELLO_API_KEY` and `TRELLO_API_TOKEN`. Optionally add `NOTION_API_KEY` and `NOTION_PARENT_PAGE_ID`. Then configure a `mcp.json` with the path to `uv` and the server directory.
Yes. The Notion environment variables and integration are entirely optional. Leave them unset to use only Trello features.
Tools include: get all boards, get board details, get lists in a board, get cards in a list, get card details, create card, update card, move card, add comment, get board members, and publish to Notion.
The server is started via an MCP client that reads the `mcp.json` configuration. There are no separate start commands; the client invokes `uv run server.py` with the provided environment variables.

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