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Chonky Task Manager Mcp

Productivity community

Description

A task management system with MCP server and VS Code extension for systematic workflow automation and agent-driven development.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Chonky Task Manager MCP / VSCode Extension

**Task Management for AI Agents & Workflows** - A task management system with MCP server and VS Code extension for systematic workflow automation and agent-driven development.

🚀 Part of the [Super Chonky Tools](https://github.com/tintinweb/vscode-chonky) suite for AI agents

![Chonky Logo](https://github.com/tintinweb/chonky-task-manager-mcp/raw/master/vscode-extension/img/superchonky-tasks.png)

Features

Core Task Management

  • Project Organization - Create and manage structured task projects
  • Task Dependencies - Handle complex workflows with dependency tracking
  • Status Tracking - Full lifecycle management (pending → in-progress → done → review)
  • Smart Recommendations - AI-powered next task suggestions
  • Batch Operations - Efficient bulk task creation and updates

Workflow Automation

  • Agent Task Management - Guide AI agents through systematic execution
  • Verification Enforcement - Proof requirements prevent task skipping
  • Context Preservation - Detailed progress tracking and notes
  • Dependency Management - Ensure proper execution order
  • Import/Export - Project backup, migration, and folder import

Integration Options

  • MCP Server - Direct integration with MCP-compatible clients
  • VS Code Extension - Native Copilot integration with language model tools
  • JSON Export/Import - Universal project portability

Usage

Workflow Automation

Chonky Tasks enables AI agents to autonomously manage and execute long-running projects by systematically working through tasks until all goals are achieved.

**Typical Workflow:**

  1. Agent creates project from user's goals and requirements
  2. Agent breaks down work into specific, actionable tasks with dependencies
  3. Agent works autonomously task-by-task, updating progress and status
  4. Agent tracks completion with success criteria validation and detailed notes
  5. **Agent continues iterative