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plan-cascade

by Taoidle·★ 80·Score 46

Plan Cascade MCP server enables cascading development workflows by breaking down complex projects into parallel executable tasks with AI agents.

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Overview

Plan Cascade is an AI-powered cascading development framework that integrates with MCP to provide intelligent project decomposition. It transforms complex development goals into parallel executable tasks through multi-agent collaboration using Claude Code, Codex, and other AI providers. The framework maintains design documentation quality gates and supports various execution modes including plugin, desktop, and CLI interfaces.

Try asking AI

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

you:Decompose large software projects into manageable parallel tasks with clear documentation
you:Automated implementation of user authentication systems with quality gates
you:Multi-LLM orchestration for feature development across different AI providers
you:How does Plan Cascade handle context management in complex projects?
you:What LLM providers are supported by the Plan Cascade MCP server?

When to choose this

Choose Plan Cascade when working on complex projects that benefit from decomposition into parallel tasks, especially if you're already using Claude Code or need visual workflow management.

When NOT to choose this

Avoid if you need a simple coding assistant for small tasks, as Plan Cascade is designed for complex project orchestration with significant setup overhead.

Comparable tools

code-mcpaider-mcpgithub-copilot-mcpclaude-code

Installation

Installation

As Claude Desktop Plugin

claude plugins install plan-cascade

Via MCP Server

Add to your Claude Desktop configuration:

{
  "mcpServers": {
    "plan-cascade": {
      "command": "uv",
      "args": ["run", "python", "-m", "plan_cascade.mcp_server"],
      "env": {
        "PYTHONPATH": "/path/to/plan-cascade"
      }
    }
  }
}

Python CLI

pip install plan-cascade

Desktop Application

See [desktop/README.md](./desktop/README.md) for the Tauri-based desktop application installation.

FAQ

How does Plan Cascade handle context management in complex projects?
Plan Cascade uses a hierarchical design document system with project-level and feature-level decisions (ADRs). It maintains durable context through checkpoints and explicit state management, preventing context loss during long development sessions.
What LLM providers are supported by the Plan Cascade MCP server?
The framework supports multiple LLM providers including Anthropic (Claude), OpenAI, DeepSeek, Ollama, GLM, Qwen, and MiniMax. Different modes (plugin/desktop/cli) may have varying provider support.

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