taskflow-mcp
by pinkpixel-dev·★ 29·Score 44
TaskFlow MCP is a specialized server that helps AI assistants break down user requests into manageable tasks with subtasks, dependencies, and notes.
Overview
TaskFlow MCP provides a structured workflow for task planning and execution with AI assistants. It enforces user approval steps to maintain control over the task completion process. The server supports features like task breakdown into subtasks, progress tracking, dependency management, and persistent storage across sessions.
Try asking AI
After installing, here are 3 things you can ask your AI assistant:
When to choose this
Choose this server when you need structured task management with subtasks, dependencies, and user approval workflows for complex projects.
When NOT to choose this
Avoid this server if you need a simple to-do list without subtasks or if you require real-time collaboration features.
Tools this server exposes
12 tools extracted from the READMEplan_taskRegister a new user request and plan its associated tasks
get_next_taskRetrieve the next pending task for a request
mark_task_doneMark a task as completed
open_task_detailsGet details about a specific task
list_requestsList all requests in the system
add_tasks_to_requestAdd more tasks to an existing request
update_taskUpdate a task's title or description
delete_taskDelete a task from a request
add_subtasksAdd subtasks to an existing task
mark_subtask_doneMark a subtask as completed
export_task_statusExport task status to a file in various formats
get_promptsGet the current prompts configuration
Comparable tools
Installation
Installation
Global Installation
npm install -g @pinkpixel/taskflow-mcpLocal Installation
npm install @pinkpixel/taskflow-mcpUsage
Starting the server globally:
taskflow-mcpStarting the server locally:
npx taskflow-mcpConfiguration
Create an mcp_config.json file:
{
"mcpServers": {
"taskflow": {
"command": "npx",
"args": ["-y", "@pinkpixel/taskflow-mcp"],
"env": {
"TASK_MANAGER_FILE_PATH": "/path/to/tasks.yaml"
}
}
}
}Compare taskflow-mcp with
Last updated · Auto-generated from public README + GitHub signals.