Kanboard Mcp Server

by bivex

333 downloads
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GitHub

About

A comprehensive MCP server for Kanboard project management that provides tools for managing projects, tasks, users, comments, files, and more through the Kanboard API.

Details

Author
bivex
Downloads
333
Categories
Other, Project Management, Communication

- Full Kanboard API coverage with 50+ supported methods
- Natural language task creation and project management
- Secure API authentication (API key or username/password)
- Cross-platform compatibility (Windows, macOS, Linux)
- Real-time task, project, board, and user management
- Enterprise-grade error handling and logging

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Kanboard Mcp Server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Build the executable from source using go build -o kanboard-mcp.exe main.go, then set environment variables (KANBOARD_API_ENDPOINT, KANBOARD_API_KEY, and optionally KANBOARD_USERNAME and KANBOARD_PASSWORD). Finally, add the server to your MCP client configuration by specifying the command ./kanboard-mcp.exe and the required environment variables.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "kanboard mcp server": {
            "kanboard": {
                "command": "./kanboard-mcp.exe",
                "args": [],
                "env": {
                    "KANBOARD_API_ENDPOINT": "https://your-kanboard-url/jsonrpc.php",
                    "KANBOARD_API_KEY": "<YOUR_API_KEY>",
                    "KANBOARD_USERNAME": "<YOUR_USERNAME>",
                    "KANBOARD_PASSWORD": "<YOUR_PASSWORD>"
                }
            }
        }
    }
}

McpServers

{
    "kanboard": {
        "command": "./kanboard-mcp.exe",
        "args": [],
        "env": {
            "KANBOARD_API_ENDPOINT": "https://your-kanboard-url/jsonrpc.php",
            "KANBOARD_API_KEY": "<YOUR_API_KEY>",
            "KANBOARD_USERNAME": "<YOUR_USERNAME>",
            "KANBOARD_PASSWORD": "<YOUR_PASSWORD>"
        }
    }
}

Kanboard MCP Server

Content

🚀 Key Features

Complete Kanboard Integration
- Full API coverage with 50+ supported methods
- Real-time project and task management
- User and permission management
- File upload/download capabilities
- Advanced search and filtering

AI-Powered Workflows
- Natural language task creation and management
- Intelligent project organization
- Automated task assignment and scheduling
- Smart comment and metadata handling

Enterprise-Ready
- Secure API authentication (API key or username/password)
- Comprehensive error handling
- JSON-RPC protocol compliance
- Cross-platform compatibility

📋 Supported Operations

Project Management
- Create, update, and delete projects
- Project metadata and file management
- User and group assignment
- Project permissions and roles

Task Management
- Complete task lifecycle (create, update, delete, move)
- Task assignment and due date management
- Priority and category organization
- Recurring task support
- Advanced search with custom queries

Team Collaboration
- User creation and management
- Comment system with markdown support
- File attachments and sharing
- Activity tracking and notifications

Board Organization
- Swimlane and column management
- Task positioning and reordering
- Tag system for categorization
- External task linking

🛠️ Technical Specifications

Language: Go
Protocol: Model Context Protocol (MCP)
API: Kanboard JSON-RPC
Authentication: API Key or Basic Auth
License: MIT

Environment Variables:
- KANBOARD_API_ENDPOINT - Your Kanboard instance URL
- KANBOARD_API_KEY - API authentication key
- KANBOARD_USERNAME - Username (if using basic auth)
- KANBOARD_PASSWORD - Password (if using basic auth)

🎯 Use Cases

For Developers
- Automate project setup and task creation
- Integrate Kanboard with CI/CD pipelines
- Generate project reports and analytics
- Bulk task management and migration

For Project Managers
- AI-assisted project planning
- Automated task assignment based on workload
- Intelligent deadline management
- Real-time project status monitoring

For Teams
- Natural language task creation
- Automated workflow triggers
- Smart file organization
- Enhanced collaboration through AI assistance

🔧 Installation & Setup

1. Build the executable:

   go build -o kanboard-mcp.exe main.go

2. Configure environment variables:

   export KANBOARD_API_ENDPOINT="https://your-kanboard-url/jsonrpc.php"
export KANBOARD_API_KEY="your-api-key"

3. Add to MCP client configuration:

   {
"mcpServers": {
"kanboard": {
"command": "./kanboard-mcp.exe",
"args": [],
"env": {
"KANBOARD_API_ENDPOINT": "https://your-kanboard-url/jsonrpc.php",
"KANBOARD_API_KEY": "<YOUR_API_KEY>"
}
}
}
}

🌟 Why Choose Kanboard MCP Server?

Comprehensive Coverage
Unlike basic Kanboard integrations, this MCP server provides access to every major Kanboard feature, from basic task management to advanced metadata handling.

AI-Native Design
Built specifically for AI assistant integration, the server provides natural language interfaces for complex project management operations.

Production Ready
With robust error handling, comprehensive logging, and enterprise-grade authentication, this server is ready for production use.

Active Development
Regular updates and improvements based on community feedback and Kanboard API enhancements.

Transform your Kanboard experience with AI-powered project management. The Kanboard MCP Server bridges the gap between traditional project management tools and modern AI assistants, enabling more efficient, intelligent, and collaborative workflows.

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