KanbanFlow MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@KanbanFlow MCP Servershow me my board structure"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
KanbanFlow MCP Server
A Model Context Protocol (MCP) server for KanbanFlow - manage your boards, tasks, and workflows directly from Cursor/Claude.
š Quick Start (One Command!)
šÆ Recommended: Auto-Setup
# Install globally
npm install -g kanbanflow-mcp-server
# Auto-magic setup in ANY project
cd your-project-folder
kanbanflow-mcp-server --setupThat's it! ⨠The setup wizard will:
š Detect your installation automatically
š”ļø Preserve any existing MCP servers you have
š¾ Create backups of your configuration
āļø Generate the perfect config with full paths
šÆ Add KanbanFlow to your Cursor setup
š ļø Alternative: Developer Setup
# Clone and build from source
git clone https://github.com/williamavholmberg/kanbanflow-mcp-server
cd kanbanflow-mcp-server
npm install && npm run build
# Same magic setup wizard works here too!
kanbanflow-mcp-server --setupRelated MCP server: vibeops
š Get Your API Token
Go to kanbanflow.com/api
Create your API token
Enter it when prompted by the setup wizard
š”ļø Safe & Smart Configuration
The setup wizard is bulletproof:
ā Never overwrites your existing MCP servers
ā Creates automatic backups before any changes
ā Merges intelligently with your current setup
ā Uses reliable paths (no binary issues)
ā Works everywhere (macOS, Windows, Linux)
Example Scenarios:
New project?
š Creating new MCP configuration file...
ā
Setup complete!Already have MCP servers?
š Found existing MCP configuration with 2 server(s)
ā Adding kanban-flow to existing configuration...
š¾ Created backup: mcp.json.backup.1692123456789
ā
Setup complete!
š” Your existing MCP servers are preserved!Updating KanbanFlow config?
š Found existing MCP configuration with 3 server(s)
š Updating existing kanban-flow configuration...
š¾ Created backup: mcp.json.backup.1692123456789
ā
Setup complete!š ļø Available Tools
Board Management
get-board- Get your board structure and column IDsget-all-tasks- See all tasks across all columns
Task Operations
create-task- Create new tasksget-tasks- Get tasks from a specific columnget-task-details- Get detailed task informationupdate-task- Update task properties (name, column, color, etc.)
Subtasks
add-subtask- Add a subtask to any taskupdate-subtask-by-position- Update subtasks by positionadd-subtasks- Add multiple subtasks at oncecreate-task-with-subtasks- Create task + subtasks in one go
Labels & Organization
add-label- Add labels to tasksupdate-label- Update existing labelsset-task-due-date- Set due datesupdate-custom-field- Update custom field values
Comments
add-comment- Add comments to tasksupdate-comment- Update existing comments
š Usage Examples
Ask Claude things like:
"Show me my board structure"
"Create a task called 'Fix bug' in the To-Do column"
"Add subtasks to task T123: Write tests, Review code, Deploy"
"Move task T456 to Done column"
"What tasks are in my In Progress column?"
"Create a task with 3 subtasks for implementing user authentication"
š§ Manual Configuration (Advanced)
If you prefer manual setup, the wizard generates this format:
{
"mcpServers": {
"kanban-flow": {
"command": "node",
"args": ["/path/to/kanbanflow-mcp-server/build/index.js"],
"env": {
"KANBAN_API_TOKEN": "your_api_token_here"
}
}
}
}š Development
# Build
npm run build
# Help
kanbanflow-mcp-server --help
# Test (requires KANBAN_API_TOKEN env var)
npm run devšÆ Why This MCP Server Rocks
šŖ One-command setup - No manual config editing
š”ļø Bulletproof safety - Never breaks your existing setup
šÆ Smart detection - Works with any installation method
š Re-runnable - Update your config anytime safely
š± Cross-platform - macOS, Windows, Linux
š Industry-leading UX - The way MCP setup should work
š License
MIT License - see LICENSE file.
š¤ Contributing
Fork the repo
Create your feature branch
Make your changes
Test with your KanbanFlow board
Submit a pull request
Need help? Open an issue!
š” Pro tip: Run
kanbanflow-mcp-server --setupanytime to update your configuration safely!
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- FlicenseAqualityDmaintenanceEnables users to manage Obsidian Kanban boards within a vault by listing, reading, and creating boards or tasks. It supports moving tasks between columns and adding detailed task metadata via the Obsidian Kanban plugin.51
- Alicense-qualityAmaintenanceEnables agents to read and drive a local-first Kanban board for issue tracking, allowing them to list, create, update, and resolve issues from Claude Code sessions.8MIT
- Alicense-qualityDmaintenanceEnables users to manage a personal Kanban board with tasks, subtasks, notes, and code clips using natural language via the Model Context Protocol.1MIT
- Alicense-qualityAmaintenanceEnables Claude Code to manage a terminal-based Kanban board with tools for task CRUD, moving, completing, archiving, and board initialization and export/import.MIT
Related MCP Connectors
Persistent context for Claude. Your AI always knows your projects and next actions across sessions.
Read and write your Fresh Jots notes from Claude, Cursor, and any MCP client.
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/WilliamAvHolmberg/kanbanflow-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server