{
"mcpServers": {
"conductor-tasks": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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A task management system designed for AI development
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
MIT. View license →
Is it maintained?
Last commit 66 days ago. 75 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
This server is missing a description. Tools and install config are also missing.If you've used it, help the community.
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Transform requirements into actionable tasks, generate implementation plans, track progress, and accelerate development – all powered by AI, directly within your workflow.
Conductor Tasks is an intelligent assistant designed for developers. It integrates seamlessly into your editor (via MCP) or works as a standalone CLI tool, leveraging multiple LLMs to streamline your development process from planning to execution.
While many AI-powered task management tools offer valuable assistance, Conductor Tasks is engineered to provide a more comprehensive, flexible, and deeply integrated AI development assistant. Here's how Conductor Tasks stands out:
True Multi-LLM Architecture for Optimal Results & Cost: Conductor Tasks is built with a foundational multi-LLM strategy, not just as an add-on. It seamlessly integrates with a broad spectrum of providers (OpenAI, Anthropic, Groq, Mistral, Google Gemini, Perplexity, xAI, Azure OpenAI, OpenRouter) and local/custom endpoints (e.g., Ollama, LM Studio). This empowers you to:
Unlike systems that may rely heavily on a single primary LLM or offer limited provider choices, Conductor Tasks offers genuine flexibility and strategic LLM utilization at its core.
Advanced AI-Driven Development & Task Lifecycle Management: Beyond basic PRD parsing, Conductor Tasks offers a richer suite of AI tools that assist throughout the development lifecycle:
generate-implementation-steps and expand-task provide detailed, actionable plans.suggest-task-improvements to iteratively refine task definitions and scope.research-topic command allows AI to gather information directly related to a task, embedding knowledge gathering into your workflow.generate-diff help in visualizing and creating code changes.This provides a more in-depth AI partnership from planning through to aspects of implementation, exceeding the scope of simpler task generation tools.
**Built-in Vis