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conductor-tasks

by hridaya423·74·Score 45

AI-powered task management system for developers that integrates via MCP or CLI.

developer-toolsproductivityai-llm
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Overview

Conductor Tasks is an intelligent task management system specifically designed for AI development workflows. It provides AI-powered task generation, expansion, and tracking capabilities, integrating seamlessly via MCP or as a standalone CLI tool. The system supports multiple LLM providers, allowing users to choose optimal models for different tasks while maintaining flexibility and avoiding vendor lock-in.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:Parsing product requirements documents (PRDs) into actionable tasks
you:Generating implementation plans for complex features
you:Visualizing project progress with Kanban boards and dependency trees
you:Which LLM providers does Conductor Tasks support?
you:Can I use Conductor Tasks without MCP integration?

When to choose this

Choose Conductor Tasks if you need an AI-powered task management system that supports multiple LLM providers and works both as an MCP server and standalone CLI tool.

When NOT to choose this

Don't choose this if you need a simple task manager without AI capabilities or if you prefer a single-vendor solution with extensive customization options.

Tools this server exposes

12 tools extracted from the README
  • initialize-project

    Initialize conductor-tasks for a new or existing project

  • parse-prd

    Parse a PRD file and create/update structured tasks

  • list-tasks

    List all tasks in the current project

  • get-next-task

    Get the next suggested task to work on

  • get-task-details

    Get details for a specific task by ID

  • update-task

    Update a task's status or other properties

  • generate-implementation-steps

    Generate detailed implementation steps for a task

  • visualize-tasks-kanban

    Display tasks as a kanban board

  • visualize-tasks-dependency-tree

    Display tasks as a dependency tree

  • visualize-tasks-dashboard

    Display a summary dashboard of tasks

  • suggest-task-improvements

    Get AI-suggested improvements for a task

  • generate-diff

    Generate code diff for task implementation

Comparable tools

linear-mcptask-mcpjira-mcpgithub-issues

Installation

Installation

Via MCP (Recommended)

  1. Add the MCP Server Configuration to your editor's settings (e.g., mcp.json):
{
  "mcpServers": {
    "conductor-tasks": {
      "command": "npx",
      "args": ["conductor-tasks", "--serve-mcp"],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_KEY_HERE",
        "ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_KEY_HERE",
        "GOOGLE_API_KEY": "YOUR_GOOGLE_KEY_HERE"
      }
    }
  }
}

Via CLI

npm install -g conductor-tasks

Then set up your API keys in a .env file:

FAQ

Which LLM providers does Conductor Tasks support?
It supports OpenAI, Anthropic, Groq, Mistral, Google Gemini, Perplexity, xAI, Azure OpenAI, and local/OpenAI-compatible endpoints like Ollama and LM Studio.
Can I use Conductor Tasks without MCP integration?
Yes, it can be used as a standalone CLI tool with full functionality including task generation, management, and visualization.

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Last updated · Auto-generated from public README + GitHub signals.