knbn-mcp

mattbalmer/knbn-mcp

3.2

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KnBn MCP Server is a Model Context Protocol server that provides AI assistants with structured access to kanban board functionality.

Tools
  1. list_boards

    List all .knbn board files

  2. get_board

    Get complete board contents

  3. create_board

    Create new board with name and description

  4. migrate

    Migrate board files to latest version

  5. create_task

    Create task with title, description, priority, story points

  6. get_task

    Get task details by ID

  7. list_tasks

    List/filter tasks by column, label, priority, sprint

  8. update_task

    Update task properties

  9. update_tasks_batch

    Update multiple tasks efficiently

  10. create_column

    Add new column at specified position

  11. list_columns

    List all columns with optional task counts

  12. update_column

    Rename existing column

  13. remove_column

    Delete column

  14. add_label

    Create label with name and color

  15. list_labels

    List all available labels

  16. update_label

    Modify label name or color

  17. remove_label

    Delete label from board

  18. add_sprint

    Create sprint with dates, capacity, description

  19. list_sprints

    List sprints filtered by status

  20. update_sprint

    Modify sprint properties

  21. remove_sprint

    Delete sprint

KnBn MCP Server

A Model Context Protocol (MCP) server that provides AI assistants with structured access to kanban board functionality. Built on top of the KnBn CLI tool, this server exposes kanban operations through MCP tools and resources.

Overview

KnBn MCP Server enables AI assistants to interact with kanban boards programmatically using the standardized MCP protocol. It provides three main interaction methods:

  • MCP Tools: Interactive operations for creating, updating, and managing boards, tasks, columns, labels, and sprints
  • MCP Resources: Read-only access to board data with structured URI patterns
  • CLI Integration: Built on the proven KnBn CLI for reliable board operations

Features

  • Board Management: Create, list, and migrate kanban boards
  • Task Operations: Full CRUD operations including batch updates
  • Column Management: Create, update, remove, and list board columns
  • Label System: Add, update, remove, and list task labels with colors
  • Sprint Management: Create and manage development sprints
  • Resource Access: Read-only data access via MCP resources
  • Migration Support: Upgrade board files to latest format versions

Installation

As MCP Server

  1. Install the package:
npm install knbn-mcp
  1. Configure in your MCP client (e.g., Claude Desktop):
{
  "mcpServers": {
    "knbn": {
      "command": "npx",
      "args": ["knbn-mcp"]
    }
  }
}

For Development

  1. Clone the repository:
git clone https://github.com/mattbalmer/knbn-mcp.git
cd knbn-mcp
  1. Install dependencies:
npm install
  1. Build the project:
npm run build
  1. Run tests:
npm test

Usage

MCP Tools

The server provides organized tool categories:

Board Tools
  • list_boards - List all .knbn board files
  • get_board - Get complete board contents
  • create_board - Create new board with name and description
  • migrate - Migrate board files to latest version
Task Tools
  • create_task - Create task with title, description, priority, story points
  • get_task - Get task details by ID
  • list_tasks - List/filter tasks by column, label, priority, sprint
  • update_task - Update task properties
  • update_tasks_batch - Update multiple tasks efficiently
Column Tools
  • create_column - Add new column at specified position
  • list_columns - List all columns with optional task counts
  • update_column - Rename existing column
  • remove_column - Delete column
Label Tools
  • add_label - Create label with name and color
  • list_labels - List all available labels
  • update_label - Modify label name or color
  • remove_label - Delete label from board
Sprint Tools
  • add_sprint - Create sprint with dates, capacity, description
  • list_sprints - List sprints filtered by status
  • update_sprint - Modify sprint properties
  • remove_sprint - Delete sprint

MCP Resources

Access board data through structured URIs:

  • knbn://boards - List of all board files
  • knbn://board/{filename} - Complete board data
  • knbn://board/{filename}/summary - Board summary with metrics
  • knbn://board/{filename}/tasks - All tasks from a board

Example Usage

// Create a new board
await mcpClient.callTool("create_board", {
  name: "Project Alpha",
  description: "Development board for Project Alpha",
  filename: "alpha.knbn"
});

// Create a task
await mcpClient.callTool("create_task", {
  title: "Implement authentication",
  description: "Add login and registration functionality",
  column: "To Do",
  priority: 1,
  storyPoints: 5,
  labels: ["backend", "security"],
  filename: "alpha.knbn"
});

// Move task to different column
await mcpClient.callTool("update_task", {
  id: 1,
  column: "In Progress",
  filename: "alpha.knbn"
});

// Get board summary
const summary = await mcpClient.readResource("knbn://board/alpha.knbn/summary");

Development

Scripts

  • npm run build - Compile TypeScript to JavaScript
  • npm test - Run Jest tests
  • npm run test:watch - Run tests in watch mode
  • npm run test:coverage - Generate coverage report

Architecture

src/
ā”œā”€ā”€ server.ts           # Main MCP server entry point
ā”œā”€ā”€ patch.ts            # MCP SDK extensions
ā”œā”€ā”€ tools/              # MCP tools organized by domain
│   ā”œā”€ā”€ board/          # Board management tools
│   ā”œā”€ā”€ tasks/          # Task management tools
│   ā”œā”€ā”€ columns/        # Column management tools
│   ā”œā”€ā”€ labels/         # Label management tools
│   └── sprints/        # Sprint management tools
└── resources/          # MCP resources for data access
    └── board-resource.ts

Testing

Tests are located in tests/ with fixtures in tests/fixtures/. Run the test suite:

npm test

Generate coverage report:

npm run test:coverage

Board File Format

Board data is stored in .knbn files using a structured format. The MCP server handles all file operations automatically, but you can also interact with these files directly using the KnBn CLI.

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests for new functionality
  5. Run the test suite
  6. Submit a pull request

License

MIT License - see for details.

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