NightTrek

Software Planning Tool πŸš€

Community NightTrek
Updated

A Model Context Protocol server

Software Planning Tool πŸš€

smithery badge

A Model Context Protocol (MCP) server designed to facilitate software development planning through an interactive, structured approach. This tool helps break down complex software projects into manageable tasks, track implementation progress, and maintain detailed development plans.

Features ✨

  • Interactive Planning Sessions: Start and manage development planning sessions
  • Todo Management: Create, update, and track development tasks
  • Complexity Scoring: Assign complexity scores to tasks for better estimation
  • Code Examples: Include relevant code snippets in task descriptions
  • Implementation Plans: Save and manage detailed implementation plans

Installation πŸ› οΈ

Installing via Smithery

To install Software Planning Tool for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @NightTrek/Software-planning-mcp --client claude

Manual Installation

  1. Clone the repository
  2. Install dependencies:
pnpm install
  1. Build the project:
pnpm run build
  1. Add to your MCP settings configuration (typically located at ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json):
{
  "mcpServers": {
    "software-planning-tool": {
      "command": "node",
      "args": [
        "/path/to/software-planning-tool/build/index.js"
      ],
      "disabled": false,
      "autoApprove": []
    }
  }
}

Available Tools πŸ”§

start_planning

Start a new planning session with a specific goal.

{
  goal: string  // The software development goal to plan
}

add_todo

Add a new todo item to the current plan.

{
  title: string,         // Title of the todo item
  description: string,   // Detailed description
  complexity: number,    // Complexity score (0-10)
  codeExample?: string  // Optional code example
}

get_todos

Retrieve all todos in the current plan.

// No parameters required

update_todo_status

Update the completion status of a todo item.

{
  todoId: string,     // ID of the todo item
  isComplete: boolean // New completion status
}

save_plan

Save the current implementation plan.

{
  plan: string  // The implementation plan text
}

remove_todo

Remove a todo item from the current plan.

{
  todoId: string  // ID of the todo item to remove
}

Example Usage πŸ“

Here's a complete example of using the software planning tool:

  1. Start a planning session:
await client.callTool("software-planning-tool", "start_planning", {
  goal: "Create a React-based dashboard application"
});
  1. Add a todo item:
const todo = await client.callTool("software-planning-tool", "add_todo", {
  title: "Set up project structure",
  description: "Initialize React project with necessary dependencies",
  complexity: 3,
  codeExample: `
npx create-react-app dashboard
cd dashboard
npm install @material-ui/core @material-ui/icons
  `
});
  1. Update todo status:
await client.callTool("software-planning-tool", "update_todo_status", {
  todoId: todo.id,
  isComplete: true
});
  1. Save the implementation plan:
await client.callTool("software-planning-tool", "save_plan", {
  plan: `
# Dashboard Implementation Plan

## Phase 1: Setup (Complexity: 3)
- Initialize React project
- Install dependencies
- Set up routing

## Phase 2: Core Features (Complexity: 5)
- Implement authentication
- Create dashboard layout
- Add data visualization components
  `
});

Development πŸ”¨

Project Structure

software-planning-tool/
  β”œβ”€β”€ src/
  β”‚   β”œβ”€β”€ index.ts        # Main server implementation
  β”‚   β”œβ”€β”€ prompts.ts      # Planning prompts and templates
  β”‚   β”œβ”€β”€ storage.ts      # Data persistence
  β”‚   └── types.ts        # TypeScript type definitions
  β”œβ”€β”€ build/              # Compiled JavaScript
  β”œβ”€β”€ package.json
  └── tsconfig.json

Building

pnpm run build

Testing

Test all features using the MCP inspector:

pnpm run inspector

License πŸ“„

MIT

Made with ❀️ using the Model Context Protocol

MCP Server Β· Populars

MCP Server Β· New

    appwrite

    Appwrite MCP server

    Appwrite’s MCP server. Operating your backend has never been easier.

    Community appwrite
    pydantic

    Pydantic Validation

    Data validation using Python type hints

    Community pydantic
    arangodb

    Python-Arango

    The official ArangoDB Python driver.

    Community arangodb
    probelabs

    Probe

    Probe is an AI-friendly, fully local, semantic code search engine which which works with for large codebases. The final missing building block for next generation of AI coding tools.

    Community probelabs
    probelabs

    Docs MCP Server

    Turn any github repo to MCP server, and chat with code or docs

    Community probelabs