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Trello MCP Server

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Trello Model Context Protocol (MCP) Server for AI Agents

About

Trello Model Context Protocol (MCP) Server for AI Agents

Security Report

4.2
Use Caution4.2High Risk

This Trello MCP server is well-structured with appropriate authentication via Trello API credentials and reasonable permissions matching its business purpose. However, it has a critical credential exposure vulnerability in the config file, loose error handling that could leak sensitive API responses, and file upload capabilities without path validation that create potential security risks. The server properly uses environment variables for secrets, but the logging of .env file paths in console output during non-production runs poses information disclosure risks. Supply chain analysis found 9 known vulnerabilities in dependencies (0 critical, 6 high severity). Package verification found 1 issue (1 critical, 0 high severity).

7 files analyzed Β· 20 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

File System Write

Writes or modifies files on your machine. Check that this is expected for the tool.

Unverified package source

We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.

What You'll Need

Set these up before or after installing:

Trello API key from https://trello.com/app-keyRequired

Environment variable: TRELLO_API_KEY

Trello API token from https://trello.com/app-keyRequired

Environment variable: TRELLO_TOKEN

Trello API base URLOptional

Environment variable: TRELLO_BASE_URL

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-billnobill-trello-mcp-server": {
      "env": {
        "TRELLO_TOKEN": "your-trello-token-here",
        "TRELLO_API_KEY": "your-trello-api-key-here",
        "TRELLO_BASE_URL": "your-trello-base-url-here"
      },
      "args": [
        "-y",
        "trello-mcp-server"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

πŸš€ Trello MCP Server: AI-Powered Project Management

Transform your Trello boards into a living workspace for AI agents. This Model Context Protocol (MCP) server allows LLMs (like Gemini, Claude, and GPT-4) to see, organize, and manage your projects with natural language.


πŸ” Overview

This project bridges the gap between AI and your Trello workflow. Instead of manually moving cards, you can tell your AI: "Move all 'To Do' cards with the 'Urgent' label to 'In Progress' and assign them to me."

Global Usage: You can save this project anywhere on your computer. Once registered, your AI will be able to start the server automatically whenever neededβ€”no manual terminal execution required.


πŸ“‹ Prerequisites


πŸ› οΈ Quick Start

1. Installation & Build

# Clone the repository
git clone https://github.com/BillNobill/trello-mcp-server.git

# Install dependencies and build
npm install
npm run build

2. Configuration

Create a .env file in the project root (use .env.example as a template):

TRELLO_API_KEY=your_api_key
TRELLO_TOKEN=your_token
TRELLO_BASE_URL=https://api.trello.com/1

3. Register with your AI client

Claude Code (Recommended)
claude mcp add --scope user trello node "C:\FULL_PATH\TO\trello-mcp-server\dist\index.js"

Env vars are read from the .env file or can be passed inline with -e KEY=VALUE flags.

VS Code (GitHub Copilot / Claude extension)

Add to your user settings.json (Ctrl+Shift+P β†’ Open User Settings JSON):

{
  "mcp": {
    "servers": {
      "trello": {
        "command": "node",
        "args": ["C:\\FULL_PATH\\TO\\trello-mcp-server\\dist\\index.js"],
        "env": {
          "TRELLO_API_KEY": "your_api_key",
          "TRELLO_TOKEN": "your_token",
          "TRELLO_BASE_URL": "https://api.trello.com/1"
        }
      }
    }
  }
}
Cursor

Add to %USERPROFILE%\.cursor\mcp.json:

{
  "mcpServers": {
    "trello": {
      "command": "node",
      "args": ["C:\\FULL_PATH\\TO\\trello-mcp-server\\dist\\index.js"],
      "env": {
        "TRELLO_API_KEY": "your_api_key",
        "TRELLO_TOKEN": "your_token",
        "TRELLO_BASE_URL": "https://api.trello.com/1"
      }
    }
  }
}

[!IMPORTANT] Always use the absolute path to dist/index.js in the configuration above.


⚑ Available Tools

Your AI agent will automatically "learn" these advanced capabilities:

πŸ“‹ Board & List Management

  • list_boards: List all your Trello boards.
  • read_board: Deep dive into lists, cards, labels, and members.
  • get_lists_on_board: Fetch only column names and IDs.
  • create_list / update_list: Manage board columns and their ordering (pos).
  • archive_list: Cleanup board structure.
  • get_board_labels / get_board_members: Fetch IDs for precise automation.
  • create_label / update_label: Manage board labels (names and colors).

πŸ—‚οΈ Card Operations (Granular & Optimized)

  • get_cards_in_list: Fetch cards for a specific column.
  • get_card_details: Deep dive into comments, attachments, and checklists for a single card.
  • search_cards: Perform fast text-based searches across the entire board.
  • create_card / update_card: Create or modify tasks (name, desc, dates, labels, and pos).
  • move_card: Change task status across lists (supports pos).
  • move_all_cards: Bulk Action to move all cards from one list to another.
  • archive_card: Cleanup completed work.

βœ… Checklist Management (Granular & Fluid)

  • add_checklist: Create a new checklist header on a card.
  • update_checklist: Rename or reorder an existing checklist header.
  • delete_checklist: Remove a checklist entirely.
  • create_checkitem: Add a new item to an existing checklist.
  • update_checkitem: Update items (rename, mark as complete/incomplete, or reorder).
  • delete_checkitem: Remove a specific item from a checklist.

πŸ“ Files & Attachments

  • add_attachment: Attach URL-based links to cards.
  • upload_file: Upload real files (PDFs, scripts, reports) directly from your computer to a card.

πŸ› οΈ Professional Features

  • set_custom_field: Set values for Custom Fields (e.g., "Estimate", "Project ID"). Note: Requires Custom Fields Power-Up enabled on the board.
  • assign_member: Assign teammates to tasks.
  • add_comment: Discuss tasks directly through the AI.

[!TIP] Reordering (the pos parameter):
Use 'top', 'bottom', or a positive number (e.g., 1) to precisely reorder cards, lists, checklists, and items.


πŸ› οΈ Troubleshooting

[!WARNING] Server shows as "Disconnected"?

  1. Empty Command: Check your client's MCP config and confirm "command": "node" and the absolute path to dist/index.js are correct.
  2. Environment Variables: Run node dist/index.js manually in the terminal. If it fails, your .env is likely missing from the root folder.
  3. SDK Compatibility: This project uses @modelcontextprotocol/sdk v1.29.0. If you experience protocol errors, run npm install to ensure you have the correct version.
  4. Claude Code: Run /mcp inside a Claude Code session to see the server status and any error output.

🐳 Docker Support

[!TIP] Docker is perfect for keeping your local environment clean.

# Build
docker build -t trello-mcp-server .

# Run
docker run --rm -i --env-file .env trello-mcp-server

🀝 Contributing

Contributions are welcome! If you find a bug or have a feature request, please open an issue or submit a pull request.


Created by [Luiz Feltrin]
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Trello MCP Server - Trello Model Context Protocol (MCP) Server for AI Agents | MCP Marketplace