About Wekan Mcp
Wekan MCP Server lets AI agents work with Wekan boards and cards. It covers board and list discovery, card creation and movement, and comments, with scripts for generating API tokens and configuring the environment.
Key features
- 01List boards, lists, and swimlanes
- 02List cards by board and list
- 03Create cards with optional details
- 04Move cards between lists or swimlanes
- 05Add comments to cards
- 06Generate API tokens and configure environment
Use cases
- 01Reviewing available boards and their contents
- 02Creating and organizing cards in Wekan
- 03Adding discussion to existing cards
MCP support
Exposes Wekan board, list, swimlane, card, and comment operations as tools for MCP clients. Authentication uses an API token or username and password.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEWekan MCP Server
made by namar0x0309 with ❤️ at GoAIX

This project includes scripts to automatically generate Wekan API tokens and configure your environment.
Supported Agent Functionality
The Wekan MCP Server provides the following tools for AI agents to interact with Wekan:
Board Management
- listBoards - List all accessible Wekan boards available to the authenticated user
List Management
- listLists - List all lists within a specific board
Swimlane Management
- listSwimlanes - List all swimlanes in a board (used for organizing cards vertically)
Card Management
- listCards - List all cards in a specific board and list
- createCard - Create a new card with support for:
- Title (required)
- Description (optional)
- Swimlane assignment (optional)
- Due date (optional, ISO 8601 datetime format)
- Team members (optional, array of user IDs)
- Labels (optional, array of label IDs)
- moveCard - Move a card to another list or swimlane within the same board
Card Interaction
- commentCard - Add a comment to an existing card
Getting Started
Generate Wekan API Token
Run the appropriate script for your platform to generate your API token:
Windows (PowerShell):
./get-wekan-token.ps1
Linux/macOS (Bash):
./get-wekan-token.sh
The script will prompt you for:
- Wekan endpoint (e.g., https://wekan.namar0x0309.com)
- Username
- Password
After successful authentication, it will:
- Generate an API token
- Create or update the
.envfile with your token and configuration
Manual Configuration
If you prefer to configure manually, copy .env.example to .env and fill in your details:
cp .env.example .env
Then edit the .env file with your Wekan instance details and API token.
Environment Variables
The .env file contains:
WEKAN_BASE_URL: Your Wekan instance URLWEKAN_API_TOKEN: Generated API token for authenticationWEKAN_USERNAME: Your Wekan username (alternative to API token)WEKAN_PASSWORD: Your Wekan password (alternative to API token)WEKAN_USER_ID: Your Wekan user IDWEKAN_TOKEN_EXPIRES: Token expiration date
Note: You can authenticate using either:
WEKAN_API_TOKEN- Pre-generated token, orWEKAN_USERNAMEandWEKAN_PASSWORD- For automatic token generation on each request
Testing
You can test your configuration by running:
node test-auth.js
This will verify that your API token is working correctly.
You can also test all available methods:
node test-all-methods.js
Development
MCP Inspector
For development and debugging the MCP server, you can use the MCP Inspector:
npm run inspect
This will launch the MCP Inspector with the configuration from mcp-inspector-config.json.
For development with automatic rebuilding:
npm run inspect:watch
This will build the project and launch the inspector, automatically rebuilding when changes are detected.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.