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Juliusolsson05

Lazy LLMs Project Management MCP Server

LLM-Native Project Management System

A project management system designed for LLM agents as first-class citizens. Track issues, log work, and manage projects with rich context - all optimized for AI workflows.

šŸš€ Quick Start (2 minutes)

One-Command Setup

make quickstart

This will:

  1. Install all dependencies

  2. Initialize the database

  3. Start the web UI at http://localhost:1929

  4. Copy Claude Desktop integration command to clipboard

Manual Setup

# 1. Install dependencies
pip install -r requirements.txt
cd mcp && pip install -r requirements.txt && cd ..

# 2. Initialize database
make init-db

# 3. Start services
make start  # Starts all services

šŸŽÆ Core Features

  • Rich Issue Tracking - Issues with comprehensive specs and technical approaches

  • Work Logging - Track development activity with artifacts and context

  • Git Integration - Automatic branch creation and commit formatting

  • Web UI - Visual dashboards and issue management at http://localhost:1929

  • MCP Tools - 23 tools for LLM agents to manage projects

šŸ“‹ Basic Usage

Create an Issue

pm_create_issue --type feature --title "Add user auth" --description "..."

Start Work

pm_start_work --issue-key LAZY-001

Log Progress

pm_log_work --issue-key LAZY-001 --activity code --summary "Implemented JWT"

View Status

pm_status  # Project overview
pm_list_issues  # All issues

šŸ”§ Claude Desktop Integration

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "pm-server": {
      "command": "python",
      "args": ["/path/to/lazy-llms/mcp/src/server.py"],
      "env": {
        "PM_DATABASE_PATH": "/path/to/lazy-llms/data/jira_lite.db"
      }
    }
  }
}

šŸ“‚ Project Structure

lazy-llms/
ā”œā”€ā”€ mcp/src/              # MCP server for LLM integration
ā”œā”€ā”€ src/jira_lite/        # Web UI and database
ā”œā”€ā”€ data/                 # Database files
ā”œā”€ā”€ scripts/              # Utility scripts
└── docs/                 # Documentation

šŸ›  Available Commands

  • make quickstart - Complete one-command setup

  • make start - Start all services

  • make stop - Stop all services

  • make init-db - Initialize database

  • make clean - Clean generated files

  • make help - Show all commands

šŸ“š Documentation

šŸ¤ Contributing

  1. Fork the repository

  2. Create a feature branch

  3. Make your changes

  4. Submit a pull request

šŸ“„ License

MIT License


Built for AI agents, by AI agents šŸ¤–

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