A simple yet powerful MCP server for Trello.
What is m0xai trello mcp server
Trello MCP Server
A powerful MCP server for interacting with Trello boards, lists, and cards via AI Hosts.
Table of Contents
- Table of Contents
- Prerequisites
- Pre-installation
- Installation
- Server Modes
- Configuration
- Client Integration
- Capabilities
- Detailed Capabilities
- Usage
- Troubleshooting
- Contributing
Prerequisites
- Python 3.12 or higher, can easly managed by
uv
- Claude for Desktop installed
- Trello account and API credentials
- uv package manager installed
Pre-installation
- Make sure you have installed Claude Desktop App
- Make sure you have already logged in with your account into Claude.
- Start Claude
Installation
-
Set up Trello API credentials:
- Go to Trello Apps Administration
- Create a new integration at New Power-Up or Integration
- Fill in your information (you can leave the Iframe connector URL empty) and make sure to select the correct Workspace
- Click your app's icon and navigate to "API key" from left sidebar.
- Copy your "API key" and on the right side: "you can manually generate a Token." click the word token to get your Trello Token.
-
Rename the
.env.example
file in the project root with.env
and set vairables you just got:
TRELLO_API_KEY=your_api_key_here
TRELLO_TOKEN=your_token_here
- Install uv if you haven't already:
curl -LsSf https://astral.sh/uv/install.sh | sh
- Clone this repository:
git clone https://github.com/m0xai/trello-mcp-server.git
cd trello-mcp-server
- Install dependencies and set server for Claude using uv::
uv run mcp install main.py
- Restart Claude Desktop app
Server Modes
This MCP server can run in two different modes:
Claude App Mode
This mode integrates directly with the Claude Desktop application:
- Set
USE_CLAUDE_APP=true
in your.env
file (this is the default) - Run the server with:
uv run mcp install main.py
- Restart the Claude Desktop application
SSE Server Mode
This mode runs as a standalone SSE server that can be used with any MCP-compatible client, including Cursor:
- Set
USE_CLAUDE_APP=false
in your.env
file - Run the server with:
python main.py
- The server will be available at
http://localhost:8000
by default (or your configured port)
Docker Mode
You can also run the server using Docker Compose:
- Make sure you have Docker and Docker Compose installed
- Create your
.env
file with your configuration - Build and start the container:
docker-compose up -d
- The server will run in SSE mode by default
- To view logs:
docker-compose logs -f
- To stop the server:
docker-compose down
Configuration
The server can be configured using environment variables in the .env
file:
Variable | Description | Default |
---|---|---|
TRELLO_API_KEY | Your Trello API key | Required |
TRELLO_TOKEN | Your Trello API token | Required |
MCP_SERVER_NAME | The name of the MCP server | Trello MCP Server |
MCP_SERVER_HOST | Host address for SSE mode | 0.0.0.0 |
MCP_SERVER_PORT | Port for SSE mode | 8000 |
USE_CLAUDE_APP | Whether to use Claude app mode | true |
You can customize the server by editing these values in your .env
file.
Client Integration
Using with Claude Desktop
- Run the server in Claude app mode (
USE_CLAUDE_APP=true
) - Start or restart Claude Desktop
- Claude will automatically detect and connect to your MCP server
Using with Cursor
To connect your MCP server to Cursor:
- Run the server in SSE mode (
USE_CLAUDE_APP=false
) - In Cursor, go to Settings (gear icon) > AI > Model Context Protocol
- Add a new server with URL
http://localhost:8000
(or your configured host/port) - Select the server when using Cursor's AI features
You can also add this configuration to your Cursor settings JSON file (typically at ~/.cursor/mcp.json
):
{
"mcpServers": {
"trello": {
"url": "http://localhost:8000/sse"
}
}
}
Using with Other MCP Clients
For other MCP-compatible clients, point them to the SSE endpoint at http://localhost:8000
.
Minimal Client Example
Here's a minimal Python example to connect to the SSE endpoint:
import asyncio
import httpx
async def connect_to_mcp_server():
url = "http://localhost:8000/sse"
headers = {"Accept": "text/event-stream"}
async with httpx.AsyncClient() as client:
async with client.stream("GET", url, headers=headers) as response:
# Get the session ID from the first SSE message
session_id = None
async for line in response.aiter_lines():
if line.startswith("data:"):
data = line[5:].strip()
if "session_id=" in data and not session_id:
session_id = data.split("session_id=")[1]
# Send a message using the session ID
message_url = f"http://localhost:8000/messages/?session_id={session_id}"
message = {
"role": "user",
"content": {
"type": "text",
"text": "Show me my Trello boards"
}
}
await client.post(message_url, json=message)
if __name__ == "__main__":
asyncio.run(connect_to_mcp_server())
Capabilities
Operation | Board | List | Card | Checklist | Checklist Item |
---|---|---|---|---|---|
Read | ✅ | ✅ | ✅ | ✅ | ✅ |
Write | ❌ | ✅ | ✅ | ✅ | ✅ |
Update | ❌ | ✅ | ✅ | ✅ | ✅ |
Delete | ❌ | ✅ | ✅ | ✅ | ✅ |
Detailed Capabilities
Board Operations
- ✅ Read all boards
- ✅ Read specific board details
List Operations
- ✅ Read all lists in a board
- ✅ Read specific list details
- ✅ Create new lists
- ✅ Update list name
- ✅ Archive (delete) lists
Card Operations
- ✅ Read all cards in a list
- ✅ Read specific card details
- ✅ Create new cards
- ✅ Update card attributes
- ✅ Delete cards
Checklist Operations
- ✅ Get a specific checklist
- ✅ List all checklists in a card
- ✅ Create a new checklist
- ✅ Update a checklist
- ✅ Delete a checklist
- ✅ Add checkitem to checklist
- ✅ Update checkitem
- ✅ Delete checkitem
Usage
Once installed, you can interact with your Trello boards through Claude. Here are some example queries:
- "Show me all my boards"
- "What lists are in board [board_name]?"
- "Create a new card in list [list_name] with title [title]"
- "Update the description of card [card_name]"
- "Archive the list [list_name]"
Here are my example usages:
Troubleshooting
If you encounter issues:
- Verify your Trello API credentials in the
.env
file - Check that you have proper permissions in your Trello workspace
- Ensure Claude for Desktop is running the latest version
- Check the logs for any error messages with
uv run mcp dev main.py
command. - Make sure uv is properly installed and in your PATH
Contributing
Feel free to submit issues and enhancement requests!
Leave a Comment
Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
Related MCP Servers
chrisdoc hevy mcp
sylphlab pdf reader mcp
An MCP server built with Node.js/TypeScript that allows AI agents to securely read PDF files (local or URL) and extract text, metadata, or page counts. Uses pdf-parse.
aashari mcp server atlassian bitbucket
Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.
aashari mcp server atlassian confluence
Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases using the standard MCP interface.
prisma prisma
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
Zzzccs123 mcp sentry
mcp sentry for typescript sdk
zhuzhoulin dify mcp server
zhongmingyuan mcp my mac
zhixiaoqiang desktop image manager mcp
MCP 服务器,用于管理桌面图片、查看详情、压缩、移动等(完全让Trae实现)
zhixiaoqiang antd components mcp
An MCP service for Ant Design components query | 一个减少 Ant Design 组件代码生成幻觉的 MCP 服务,包含系统提示词、组件文档、API 文档、代码示例和更新日志查询
Submit Your MCP Server
Share your MCP server with the community
Submit Now