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Kanban MCP

MCP Kanban is a task management toolset designed for AI agents. It manages multi-session workflows through a kanban system, supports column capacity limits, an embedded database, and Web UI monitoring. It provides API interfaces for creating, moving, and deleting tasks, as well as preset prompt words to assist in project initiation and advancement.
2 points
14

What is MCP Kanban?

MCP Kanban is a task management system designed specifically for AI workflows. It combines the kanban methodology with the memory management of AI agents. Through visual task cards and status columns, it helps AI and users jointly track the execution progress of complex projects.

How to use MCP Kanban?

Plan projects by creating a kanban board, break tasks into cards and assign them to different status columns. AI agents can move cards automatically or under user guidance to reflect task progress.

Applicable scenarios

Suitable for AI projects that require multi-step collaboration, long-running complex tasks, workflows that require human intervention, and scenarios that require visual progress tracking.

Main features

Work in Progress (WIP) LimitsSet the maximum number of tasks for each column to prevent work overload and optimize process efficiency
Embedded databaseUse SQLite to store all kanban and task data without the need for additional database services
Visual Web interfaceView and edit kanban status through a browser, supporting real-time progress monitoring
Multi-session supportRetain work status in different sessions and resume unfinished projects at any time

Advantages and limitations

Advantages
Visual workflow clearly shows task status and bottlenecks
Built-in database simplifies deployment without the need for additional infrastructure
Supports collaboration between humans and AI, flexibly adapting to different scenarios
Preset prompt templates lower the usage threshold
Limitations
Requires basic command-line knowledge for initial setup
The Web interface requires additional build steps
Currently only supports the SQLite database, not suitable for large-scale deployment

How to use

Install dependencies
Ensure that Node.js and npm are installed on the system, then clone the repository and install dependencies
Build the project
Compile TypeScript code into executable JavaScript
Configure the client
Add MCP server configuration to the AI client (such as Claude Desktop)
Start the Web interface (optional)
Build and start the Web server to manage the kanban board visually

Usage examples

Website development project managementUse the kanban board to track tasks at each stage of website development, including design, front-end development, back-end development, and testing
Research paper writingBreak down paper writing into tasks such as literature review, data collection, analysis, and writing

Frequently Asked Questions

How to share kanban board data between different devices?
Can I customize the kanban board columns?
What should I do if the Web interface cannot display the kanban board?

Related resources

Kanban method guide
Understand the core principles and practices of the kanban method
GitHub repository
Project source code and latest updates
Demo video
Demonstration of MCP Kanban features
Installation
Copy the following command to your Client for configuration
"mcpServers": {
    "kanban-mcp": {
        "command": "node",
        "args": [
            "/path/to/repo/mcp-server/dist/server.js"
        ],
        "env": {
            "MCP_KANBAN_DB_FOLDER_PATH": "/path/to/db"
        }
    }
}

"mcpServers": {
    "kanban-mcp": {
        "command": "docker",
        "args": [
            "run",
            "--rm",
            "-i",
            "-v",
            "/path/to/db:/mcp",
            "mcp/mcp-kanban"
        ]
    }
}
Note: Your key is sensitive information, do not share it with anyone.
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