bivex/kanboard-mcp

Overview

A Go-based Model Context Protocol server for Kanboard. It allows AI agents to manage projects, tasks, and users through natural language commands translated into Kanboard API calls.

Best for

Best for
Teams already using Kanboard who want to automate workflows through AI assistants

Use cases

• Automating task creation and assignment from chat prompts
• Managing Kanban boards via voice or text commands
• Integrating AI assistants with Kanboard for project updates

How to use

Tools exposed

• get_projects
• create_project
• get_project_by_id
• get_project_by_name
• get_project_by_identifier
• get_project_by_email
• get_all_projects
• update_project
• remove_project
• enable_project
• disable_project
• enable_project_public_access
• disable_project_public_access
• get_project_activity
• get_project_activities
• get_tasks
• create_task
• update_task
• delete_task
• get_task

Tested with

Cursor, Claude Desktop

Example client config

{\n  "mcpServers": {\n    "kanboard-mcp-server": {\n      "command": "/path/to/your/kanboard-mcp",\n      "args": [],\n      "env": {\n        "KANBOARD_API_ENDPOINT": "https://your-kanboard-url/jsonrpc.php",\n        "KANBOARD_API_KEY": "your-kanboard-api-key",\n        "KANBOARD_USERNAME": "your-kanboard-username",\n        "KANBOARD_PASSWORD": "your-kanboard-password",\n        "KANBOARD_USER_APP_ROLES": "app-manager",\n        "KANBOARD_USER_PROJECT_ROLES": "1:project-manager"\n      }\n    }\n  }\n}

Notes

A Go-based Model Context Protocol server for Kanboard. It allows AI agents to manage projects, tasks, and users through natural language commands translated into Kanboard API calls.

22 stars on GitHub. Last updated 2025-12-12. Licensed MIT.

Use cases

• Automating task creation and assignment from chat prompts
• Managing Kanban boards via voice or text commands
• Integrating AI assistants with Kanboard for project updates

Pros

• Lightweight Go implementation with no external dependencies
• Direct API integration for real-time Kanboard manipulation
• Open source with community contributions

Cons

• Limited to Kanboard; no support for other project management tools
• Requires running a separate MCP server and configuring an AI agent
• Small user base may mean fewer examples and support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.