𓂀𓁢𓋹𝔸ℕ𝕌𝔹𝕀𝕊𓋹𓁢𓂀 - Intelligent Guidance for

𓂀𓁢𓋹𝔸ℕ𝕌𝔹𝕀𝕊𓋹𓁢𓂀 - Intelligent Guidance for AI Workflows

Transform your AI agent from chaotic coder to intelligent workflow orchestrator with three powerful capabilities:

Three Pillars of Intelligent Workflow Management

Intelligent Guidance | Seamless Transitions | Beautiful Reporting

Docker Pulls Docker Image Size Docker Image Version

** NPM Package** • ** Docker Hub** • ** Website**

CORE VALUE #1: INTELLIGENT GUIDANCE FOR AI AGENTS

Your AI agent receives step-by-step intelligent rules for every development task:

// Before Anubis: Chaotic, directionless coding
"Create a user authentication system" →  Where do I start?

// With Anubis: Intelligent guidance at every step
"Create a user authentication system" → 
   Requirements Analysis (Researcher Role)
   System Architecture (Architect Role)
   Implementation Plan (Senior Dev Role)
   Quality Validation (Code Review Role)
   Progress Report (Auto-generated)

Benefits:

30-50% faster development with structured workflows
40-60% fewer defects through quality gates
100% MCP-compliant guidance without execution

CORE VALUE #2: SEAMLESS TASK & ROLE TRANSITIONS

Never lose context when switching between roles or continuing tasks:

// Seamless context preservation across transitions
{
  "currentRole": "architect",
  "completedSteps": ["requirements", "design"],
  "context": {
    "decisions": ["JWT for auth", "PostgreSQL for storage"],
    "rationale": "Scalability and security requirements",
    "nextSteps": ["Implementation by Senior Dev role"]
  }
}
// → Switch roles without losing any context!

Features:

Intelligent context preservation between role switches
Automatic task handoffs with full history
Role-based boundaries for focused expertise
Pause and resume workflows anytime

CORE VALUE #3: BEAUTIFUL HTML REPORTING

Transform your workflow data into stunning, interactive reports:

What you get:

Interactive dashboards with Chart.js visualizations
Mobile-responsive Tailwind CSS design
Progress tracking with visual indicators
Performance analytics for each role
Detailed task breakdowns with timelines
Export-ready reports for stakeholders

QUICK START

Option 1: NPX (Recommended)

// Add to your MCP client config
{
  "mcpServers": {
    "anubis": {
      "command": "npx",
      "args": ["-y", "@hive-academy/anubis"]
    }
  }
}

Option 2: Docker

{
  "mcpServers": {
    "anubis": {
      "command": "docker", 
      "args": ["run", "-i", "-v", "anubis-data:/app/data", "--rm", "hiveacademy/anubis"]
    }
  }
}

** Benefits**: Zero installation • Always latest version • Project isolation • Auto-dependency management

SUPERCHARGE YOUR AI AGENT IN 3 STEPS

Step 1: Initialize Intelligent Guidance

Please initialize Anubis workflow rules for [your-agent-name] by calling the init_rules MCP tool

Step 2: Start Your Workflow

Begin a new workflow for [your-project] with Anubis guidance

Step 3: Generate Beautiful Reports

Generate an interactive workflow report for the current execution

Supported Agents: cursor • copilot • roocode • kilocode

INTELLIGENT ROLE SYSTEM

Role	Intelligent Purpose	Key Powers
Boomerang	Strategic Orchestration	Project setup, task creation, workflow management
Researcher	Knowledge Gathering	Evidence-based research, feasibility analysis
Architect	System Design	Technical architecture, implementation planning
Senior Developer	Code Manifestation	High-quality implementation, testing
Code Review	Quality Guardian	Security validation, performance review, approval

REAL-WORLD EXAMPLE

// 1. Agent receives intelligent guidance
const guidance = await get_step_guidance({
  executionId: 'auth-system-123',
  roleId: 'senior-developer'
});

// 2. Anubis provides structured rules
{
  "guidance": {
    "step": "Implement JWT authentication",
    "approach": [
      "1. Create User model with Prisma",
      "2. Implement password hashing with bcrypt",
      "3. Create JWT token generation service",
      "4. Add authentication middleware"
    ],
    "qualityChecklist": [
      "SOLID principles applied",
      "Unit tests coverage > 80%",
      "Security best practices",
      "Error handling implemented"
    ],
    "context": {
      "previousDecisions": ["PostgreSQL", "JWT strategy"],
      "nextRole": "code-review"
    }
  }
}

// 3. Agent executes with confidence and reports
await report_step_completion({
  result: 'success',
  metrics: {
    filesCreated: 8,
    testsWritten: 15,
    coverage: 85
  }
});

// 4. Beautiful report auto-generated! 📊

TECHNICAL EXCELLENCE

Enterprise-Grade Architecture:

Backend: NestJS v11 + TypeScript
Database: Prisma ORM + SQLite/PostgreSQL
MCP: @rekog/mcp-nest v1.5.2
Analytics: Chart.js + Tailwind CSS
Runtime: Node.js ≥18.0.0

Production Ready:

MCP-compliant architecture
Zero execution violations
75% test coverage
Sub-50ms cached responses

📚 DOCUMENTATION

📖 Technical Architecture - System design & patterns
🚀 Developer Guide - Setup & development workflows
🎯 Project Overview - Business context & strategy
📊 Report Examples - Sample workflow reports

🤝 CONTRIBUTING

# Development setup
npm install && npm run db:init && npm run start:dev

# Quality checks  
npm run test && npm run lint

Standards: MCP compliance • SOLID principles • Domain-driven design • Evidence-based development

LICENSE

MIT License - see LICENSE file for details.

THE ANUBIS PROMISE

Intelligent Guidance ✨ Seamless Transitions ✨ Beautiful Reports

Transform your AI workflows from chaotic to intelligent. Give your agents the rules of the ancients with modern MCP-compliant architecture.

Ready to ascend? Add Anubis to your MCP config now!

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

Hey @roocode community!

I'm thrilled to share a project born from my work with Roocode and the vision of an AI-powered development team: the Anubis MCP Server!

This system is heavily inspired by Roocode and designed to orchestrate an AI development workflow based on agile methodology. It simulates

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𓂀𓁢𓋹𝔸ℕ𝕌𝔹𝕀𝕊𓋹𓁢𓂀 - Intelligent Guidance for