
Anubis
Orchestrates AI coding workflows through specialized role-based agents (orchestrator, architect, developer, reviewer) that transition between tasks with state persistence and dependency tracking.
Orchestrates AI coding workflows through role-based agents that transition between specialized responsibilities (orchestrator, architect, developer, reviewer, integration engineer) with comprehensive task management, dependency tracking, and execution state persistence.
What it does
- Manage multi-role AI coding workflows
- Track task dependencies and execution state
- Transition between specialized coding roles
- Persist workflow state across sessions
- Coordinate orchestrator and developer agents
- Monitor integration and review processes
Best for
About Anubis
Anubis is a community-built MCP server published by hive-academy that provides AI assistants with tools and capabilities via the Model Context Protocol. Anubis streamlines artificial intelligence development software with AI for software development, using role-based agent It is categorized under developer tools, productivity.
How to install
You can install Anubis in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
Anubis is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
ππ’πΉπΈβππΉπππΉπ’π - 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 | Repository Pattern Architecture
NPM Package β’ Docker Hub β’ Website
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\\to\\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\\to\\your\\project:/app/workspace",
"-v",
"C:\\path\\to\\your\\project\\.anubis:/app/.anubis",
"hiveacademy/anubis"
]
}
}
}
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 β’ copilot β’ roocode β’ 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
ROOCODE Setup Example
1- install the MCP server:
{
"mcpServers": {
"anubis": {
"command": "npx",
"args": ["-y", "@hive-academy/anubis"],
"env": {
"PROJECT_ROOT": "C:\\path\\to\\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:
- Install MCP Server in Cursor:
- Open Cursor Settings (
Cmd/Ctrl + ,) - Navigate to "Extensions" β "MCP Servers"
- Add new server configuration:
"anubis": { "command": "npx", "args": ["-y", "@hive-academy/anubis"], "env": { "PROJECT_ROOT": "C:\\path\\to\\projects" } } - Open Cursor Settings (
- 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 π.
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/anubismake sure you are on the poject root you want to install this into.
-
To make sure it's installed correctly run
claude mcp listyou should see a server with nameanubis. -
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
rulesand file nameanubis-rules.md. - Then open your CLAUDE.md file and add the following:
Anubis Workflow @rules/anubis-rules.md
π RECENT ACHIEVEMENTS (v1.2.11)
Repository Pattern Implementation Success π―
225% Completion Rate - Exceeded target goals by migrating 9 services (target: 4 services)
Successfully Migrated Services:
- β
workflow-guidance.service.ts- Enhanced testability and maintainability - β
step-progress-tracker.service.ts- Clean state management - β
workflow-bootstrap.service.ts- Simplified bootstrap process - β
progress-calculator.service.ts- Pure business logic functions - β
step-query.service.ts- Flexible data access strategies - β
step-execution.service.ts- Reliable execution tracking - β
role-transition.service.ts- Consistent role management - β
execution-data-enricher.service.ts- Efficient data aggregation - β
workflow-guidance-mcp.service.ts- Standardized MCP operations
Technical Excellence Achievements π
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 π€
Multi-Agent Support - Comprehensive template system for:
- β Cursor IDE - Intelligent workflow guidance integration
- β GitHub Copilot - Enhanced AI assistant capabilities
- β RooCode - Streamlined development workflows
- β KiloCode - Advanced automation support
Performance Optimizations β‘
Database Optimization - 434,176 β 421,888 bytes (optimized storage)
Enhanced Query Performance - Repository pattern enables efficient data access
Improved State Management - ExecutionId-based workflow tracking
ποΈ ARCHITECTURE EXCELLENCE
π 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
- β Zero TypeScript Compilation Errors - 95% type safety achieved
- β 9 Services Migrated - Exceeded 4 service target by 225%
- β 6 Repository Implementations - Complete data access abstraction layer
- β 100+ Repository Methods - Comprehensive database operations
- β SOLID Principles - Clean architecture with dependency injection
- β 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 β’ StepProgress β’ ProjectContext β’ WorkflowBootstrap β’ ProgressCalculation β’ WorkflowRole
π 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
README truncated. View full README on GitHub.
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