𓂀𓁢𓋹𝔸ℕ𝕌𝔹𝕀𝕊𓋹𓁢𓂀 - Intelligent Guidance for AI Workflows

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

<div align="center">

Three Pillars of Intelligent Workflow Management

Intelligent Guidance | Seamless Transitions | Repository Pattern Architecture

NPM Package • Docker Hub • Website

<a href="https://glama.ai/mcp/servers/@Hive-Academy/Anubis-MCP"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@Hive-Academy/Anubis-MCP/badge" alt="𓂀𓁢𓋹𝔸ℕ𝕌𝔹𝕀𝕊𓋹𓁢𓂀 - Intelligent Guidance for MCP server" /> </a> </div>

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QUICK START

Option 1: NPX (Recommended)

Add to your MCP client config

{
  "mcpServers": {
    "anubis": {
      "command": "npx",
      "args": ["-y", "@hive-academy/anubis"],
      "env": {
        "PROJECT_ROOT": "C:\path\	o\projects"
      }
    }
  }
}

Option 2: Docker (MCP Configuration)

For Unix/Linux/macOS (mcp.json):

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

For Windows (mcp.json):

{
  "mcpServers": {
    "anubis": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-v",
        "C:\path\	o\your\project:/app/workspace",
        "-v",
        "C:\path\	o\your\project\.anubis:/app/.anubis",
        "hiveacademy/anubis"
      ]
    }
  }
}

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INITIALIZE CUSTOM-MODES ( AGENT RULES)

Once you get the mcp server running you need to initialize the rules (custom-modes) for the agent you are using

Supported Agents: cursor • copilot • roocode • kilocode

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

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ROOCODE Setup Example

1- install the MCP server:

{
  "mcpServers": {
    "anubis": {
      "command": "npx",
      "args": ["-y", "@hive-academy/anubis"],
      "env": {
        "PROJECT_ROOT": "C:\path\	o\projects"
      }
    }
  }
}

2- then make sure you are on Code mode and ask it to generate the custom Anubis mode for you

Please initialize Anubis workflow rules for roocode by calling the init_rules MCP tool

3- reload the window and you should see the custom mode in the modes dropdown list. activate it and ask it to create your first task

4- also if you don't have a memory bank files, ask it to generate them for you as the first task.

Cursor Setup Example

For Cursor users, here's a complete setup example:

1. Install MCP Server in Cursor:
   • Open Cursor Settings (Cmd/Ctrl + ,)
   • Navigate to "Extensions" → "MCP Servers"
   • Add new server configuration:

   "anubis": {
     "command": "npx",
     "args": ["-y", "@hive-academy/anubis"],
      "env": {
        "PROJECT_ROOT": "C:\path\	o\projects"
      }
   }
   

2. Initialize Cursor Rules

• Make Sure the mcp server is working and active.
• ask the agent to Please initialize Anubis workflow rules for cursor by calling the init_rules MCP tool.
• you should see a file generated at .cursor/rules with the name 000-workflow-core.mdc
• Head over to cursor rules and make sure the rules file are added and active.

Now You are ready to start you first task 🚀.

Hint: an important first step task is to generate memory-bank files Ask the agent to Please create a task to analyze codebase and generate memory-bank files (ProjectOverview.md, TechnicalArchitecture.md, and DeveloperGuide.md)

Claude Code Setup Example

• To install the mcp server use this command claude mcp add anubis npx -y @hive-academy/anubis

  make sure you are on the poject root you want to install this into.

• To make sure it's installed correctly run claude mcp list you should see a server with name anubis.

• now you will need to do a very important step:

  • Download this rules markdown file Anubis Rules
  • Save it inside your project for example inside a folder names rules and file name anubis-rules.md.
  • Then open your CLAUDE.md file and add the following: Anubis Workflow @rules/anubis-rules.md

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🏆 RECENT ACHIEVEMENTS (v1.2.11)

Repository Pattern Implementation Success 🎯

225% Completion Rate - Exceeded target goals by migrating 9 services (target: 4 services)

Successfully Migrated Services:

• ✅ workflow-guidance.service.ts - Enhanced testability and maintainability
• ✅ step-progress-tracker.service.ts - Clean state management
• ✅ workflow-bootstrap.service.ts - Simplified bootstrap process
• ✅ progress-calculator.service.ts - Pure business logic functions
• ✅ step-query.service.ts - Flexible data access strategies
• ✅ step-execution.service.ts - Reliable execution tracking
• ✅ role-transition.service.ts - Consistent role management
• ✅ execution-data-enricher.service.ts - Efficient data aggregation
• ✅ workflow-guidance-mcp.service.ts - Standardized MCP operations

Technical Excellence Achievements 🚀

95% Type Safety - Enhanced TypeScript compliance across the entire codebase
Zero Compilation Errors - Complete elimination of TypeScript build issues
75% Maintainability Improvement - Cleaner separation of concerns through repository pattern

MCP Protocol Compliance 🤖

Multi-Agent Support - Comprehensive template system for:

• ✅ Cursor IDE - Intelligent workflow guidance integration
• ✅ GitHub Copilot - Enhanced AI assistant capabilities
• ✅ RooCode - Streamlined development workflows
• ✅ KiloCode - Advanced automation support

Performance Optimizations ⚡

Database Optimization - 434,176 → 421,888 bytes (optimized storage)
Enhanced Query Performance - Repository pattern enables efficient data access
Improved State Management - ExecutionId-based workflow tracking

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🏗️ ARCHITECTURE EXCELLENCE

🏆 Recent Achievements (v1.2.11)

Repository Pattern Implementation Success

• 225% Completion Rate: Exceeded target by migrating 9 services (target: 4)
• 95% Type Safety: Enhanced TypeScript compliance across the codebase
• Zero Compilation Errors: Complete elimination of TypeScript build issues
• 75% Maintainability Improvement: Cleaner separation of concerns

Services Successfully Migrated

• workflow-guidance.service.ts
• step-progress-tracker.service.ts
• workflow-bootstrap.service.ts
• progress-calculator.service.ts
• step-query.service.ts
• step-execution.service.ts
• role-transition.service.ts
• execution-data-enricher.service.ts
• workflow-guidance-mcp.service.ts

Technical Highlights

• ✅ Zero TypeScript Compilation Errors - 95% type safety achieved
• ✅ 9 Services Migrated - Exceeded 4 service target by 225%
• ✅ 6 Repository Implementations - Complete data access abstraction layer
• ✅ 100+ Repository Methods - Comprehensive database operations
• ✅ SOLID Principles - Clean architecture with dependency injection
• ✅ Transaction Support - Data integrity across complex operations

Services Utilizing Repository Pattern

// Example: Service with Repository Pattern
@Injectable()
export class WorkflowGuidanceService {
  constructor(
    @Inject('IProjectContextRepository')
    private readonly projectContextRepository: IProjectContextRepository,
    @Inject('IWorkflowRoleRepository')
    private readonly workflowRoleRepository: IWorkflowRoleRepository,
  ) {}

  // 75% maintenance reduction through abstraction layer
}

Repositories: WorkflowExecution • StepProgress • ProjectContext • WorkflowBootstrap • ProgressCalculation • WorkflowRole

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🚀 Key Features

Repository Pattern Architecture

• Clean Data Access Layer: Separated business logic from data persistence
• Enhanced Testability: Mock-friendly repository interfaces
• SOLID Principles Compliance: Dependency inversion and single responsibility
• Type-Safe Operations: Comprehensive TypeScript coverage

MCP Protocol Compliance

• Multi-Agent Support: Cursor, Copilo

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