Show HN: Orchestro – Trello for Claude Code with Kanban Board

1 month ago 5

Your AI Development Conductor - From Product Vision to Production Code

Transform product ideas into reality with an intelligent orchestration system that bridges Product Managers, Developers, and AI. Orchestro conducts the entire development symphony: task decomposition, dependency tracking, pattern learning, and real-time progress visualization.

Status MCP Registry NPM Package TypeScript MCP Tools License


The Problem:

  • Product Managers lose track of development progress
  • Developers struggle with context switching and dependencies
  • Knowledge is lost between Claude Code sessions
  • No single source of truth for what's being built

The Solution: Orchestro orchestrates the entire development lifecycle:

  • 👔 For PMs: Visual Kanban board, user story decomposition, progress tracking
  • 👨‍💻 For Developers: AI-powered task analysis, dependency graphs, pattern learning
  • 🤖 For Claude Code: Structured workflows, enriched context, knowledge retention
  • 📊 For Everyone: Real-time dashboard, transparent progress, complete audit trail

Think Trello × Jira × AI - but designed specifically for AI-assisted development.


👔 For Product Managers & Owners

  • User Story Decomposition - Write a story, AI creates technical tasks automatically
  • Visual Progress Board - Kanban view with real-time updates
  • No Technical Knowledge Required - Manage development without coding
  • Complete Transparency - See exactly what's being built, when, and why
  • Risk Awareness - Auto-flagged risks with plain English explanations
  • Intelligent Task Analysis - AI analyzes codebase and suggests implementation
  • Dependency Tracking - Visual graphs show what depends on what
  • Pattern Learning - System learns from successes and failures
  • Conflict Prevention - Detects when tasks touch the same files
  • Context Retention - Never lose context between sessions
  • 60 MCP Tools - Complete toolkit for orchestrated development
  • Structured Workflows - prepare → analyze → implement → learn
  • Enriched Prompts - Context-aware implementation guidance
  • Knowledge Base - Templates, patterns, learnings persist forever
  • Real-Time Dashboard - Live updates via Socket.io
  • Complete History - Timeline of all decisions and changes
  • Rollback Capability - Undo mistakes safely
  • Export Everything - Markdown reports for stakeholders

🎼 The Development Symphony

How Orchestro Conducts Your Development

┌─────────────────────────────────────────────────────┐ │ PRODUCT MANAGER │ │ "User should login with email/password" │ └─────────────────────────────────────────────────────┘ ↓ ┌──────────────────────┐ │ ORCHESTRO AI │ │ Decomposes Story │ └──────────────────────┘ ↓ ┌──────────────────────────────────────────┐ │ 7 Technical Tasks Created │ │ • Database schema │ │ • Authentication service │ │ • API endpoints │ │ • Frontend components │ │ • State management │ │ (with dependencies automatically) │ └──────────────────────────────────────────┘ ↓ ┌──────────────────────┐ │ DEVELOPER/CLAUDE │ │ Implements Tasks │ └──────────────────────┘ ↓ ┌──────────────────────────────────────────┐ │ PM SEES PROGRESS │ │ • Kanban updates in real-time │ │ • Risks flagged automatically │ │ • Dependencies visualized │ └──────────────────────────────────────────┘

Option 1: From MCP Registry ⭐ (Recommended)

Orchestro is now in the Official MCP Registry!

# Install via NPX (no global install needed) npx @khaoss85/orchestro@latest

Or add to Claude Code config:

{ "mcpServers": { "orchestro": { "command": "npx", "args": ["-y", "@khaoss85/orchestro@latest"], "env": { "DATABASE_URL": "your-supabase-connection-string" } } } }

Option 2: One-Command Install ⚡

That's it! The installer will:

  • ✅ Download and setup Orchestro
  • ✅ Apply database migrations to Supabase
  • ✅ Configure Claude Code automatically
  • ✅ Setup Supabase connection
  • ✅ Start the dashboard
  • ✅ Verify everything works

Interactive prompts:

🎭 Orchestro Setup Wizard ? Supabase connection string: ████████ ? Project name: My Project ? Install location: ~/orchestro ⚙️ Setting up... ✓ Orchestro installed ✓ Claude Code configured ✓ Database ready 🎉 Done! Restart Claude Code and ask: "Show me orchestro tools"

Option 2: Manual Install (5 Minutes)

# Node.js 18+ node --version # Supabase account (free tier works great) # Sign up at https://supabase.com

2. Database Setup on Supabase

Create your Supabase project:

  1. Go to https://supabase.com and create a new project
  2. Wait for the database to be provisioned (~2 minutes)
  3. Go to SettingsDatabase and copy the Connection String (Transaction mode)

Apply database schema:

# Clone this repo first git clone https://github.com/khaoss85/mcp-orchestro.git cd mcp-orchestro # Install dependencies npm install # Set your Supabase connection string export DATABASE_URL="your-supabase-connection-string" # Apply all migrations to create the schema npm run migrate

Verify database setup:

# The migrate script will show you all tables created: # You should see: # ✅ Running migration: code_entities # ✅ Running migration: add_tasks_metadata # ✅ Running migration: fix_status_transition_trigger # ✅ Running migration: event_queue # ✅ Running migration: auto_update_user_story_status # ✅ Running migration: add_task_metadata_fields # ✅ Running migration: add_pattern_frequency_tracking # Or verify manually via Supabase dashboard: # Go to Database → Tables and check all tables are created

Get your credentials:

# From Supabase Dashboard: # 1. DATABASE_URL (for migrations & MCP server) # Settings → Database → Connection String → Transaction mode # Example: postgresql://postgres:[password]@db.[project].supabase.co:5432/postgres # 2. SUPABASE_URL (for API calls) # Settings → API → Project URL # Example: https://[project].supabase.co # 3. SUPABASE_SERVICE_KEY (for admin operations - keep secret!) # Settings → API → service_role key # Example: eyJhbG...
# Run interactive setup npm run setup # Or manual configuration: cat > .env << EOF DATABASE_URL=your-supabase-connection-string SUPABASE_URL=your-supabase-url SUPABASE_SERVICE_KEY=your-service-key EOF
# Auto-configure (recommended) npm run configure-claude # Or manually edit: open ~/Library/Application\ Support/Claude/claude_desktop_config.json # Add: { "mcpServers": { "orchestro": { "command": "node", "args": ["/absolute/path/to/orchestro/dist/server.js"], "env": { "DATABASE_URL": "your-connection-string" } } } }
npm run dashboard # 🌐 Opens http://localhost:3000
# Restart Claude Code, then ask: "Show me all orchestro tools" # You should see 60 tools! 🎭

Option 3: Add to Existing Project

Already have a Claude Code project? Add Orchestro:

# In your project directory npx @orchestro/add # Or via Claude Code config: claude mcp add orchestro

See Integration Guide for existing project setup.


Option 4: Claude Code Plugin 🎁 (Easiest!)

New! Install Orchestro as a Claude Code plugin with one command:

# In Claude Code terminal /plugin marketplace add khaoss85/mcp-orchestro # Install the Orchestro Suite /plugin install orchestro-suite@orchestro-marketplace # Restart Claude Code when prompted

What you get:

  • Orchestro MCP Server - 60 tools via npx @khaoss85/orchestro@latest (no global install needed)
  • 5 Guardian Agents - database, API, architecture, test-maintainer, production-ready
  • Auto-configured - MCP server and agents ready to use
  • Complete Documentation - Setup guide included

Prerequisites:

  • Supabase account (see Option 2 for setup)
  • Environment variables set:
    export SUPABASE_URL="https://your-project.supabase.co" export SUPABASE_SERVICE_KEY="your-service-key" export ANTHROPIC_API_KEY="your-key"

Verify installation:

# Check agents /agents # Should show: database-guardian, api-guardian, architecture-guardian, # test-maintainer, production-ready-code-reviewer # Test MCP tools mcp__orchestro__get_project_info mcp__orchestro__list_tasks

Plugin includes:

  • MCP server configuration (.mcp.json)
  • 5 specialized guardian agents
  • Complete README with usage examples
  • Troubleshooting guide

See plugins/orchestro-suite/README.md for detailed plugin documentation.


Scenario: New feature request from stakeholder

1. Write user story in dashboard: "User should be able to export report as PDF" 2. Click "Decompose with AI" → Orchestro creates 5 technical tasks with dependencies 3. Monitor Kanban board: → See real-time progress as Claude implements → Risks flagged automatically (e.g., "PDF library size impact") → Hover over task for technical details 4. Review & Accept: → See code diffs in plain English → Rollback if needed → Export timeline for stakeholder report

Scenario: Implementing complex feature

1. Pick task from Kanban board 2. Ask Claude: "Prepare task [task-id] for execution" → Orchestro analyzes codebase → Shows: files to modify, dependencies, risks 3. Get enriched context: → Past similar implementations → Relevant patterns (with success rates!) → Risk mitigation strategies 4. Implement with confidence: → Conflict detection warns if other tasks touch same files → Pattern learning suggests best approaches → Complete history for rollback safety

Scenario: Cross-functional collaboration

PM writes story → AI decomposes → Dev implements → All see progress • PM: Non-technical Kanban view • Dev: Technical dependency graph • Claude: Enriched implementation context • Everyone: Real-time updates, complete transparency

🛠️ All 60 MCP Tools ✅ Production Tested

📋 Project Management (3 tools)

  • get_project_info - Project metadata and status
  • get_project_configuration - Complete project configuration
  • initialize_project_configuration - Setup default tools and guardians

📝 Task Management (7 tools)

  • create_task - Create with assignee, priority, tags, category
  • list_tasks - Filter by status/category/tags
  • update_task - Modify any field with validation
  • delete_task - Safe deletion with dependency checks
  • get_task_context - Full context with dependencies (deprecated, use prepare_task_for_execution)
  • get_execution_order - Topological sort by dependencies
  • safe_delete_tasks_by_status - Bulk delete with safety checks

⚙️ Task Execution & Analysis (3 tools)

  • prepare_task_for_execution - Generate codebase analysis prompt
  • save_task_analysis - Store analysis results
  • get_execution_prompt - Enriched implementation context
  • decompose_story - AI-powered story → tasks decomposition with automatic analysis (autoAnalyze=true default)
  • get_user_stories - List all user stories
  • get_tasks_by_user_story - Get all child tasks
  • get_user_story_health - Monitor story completion status

🔗 Dependencies & Conflicts (4 tools)

  • save_dependencies - Record task resource dependencies
  • get_task_dependency_graph - Visualize dependency graph
  • get_resource_usage - Find tasks using a resource
  • get_task_conflicts - Detect conflicting resource usage

📚 Knowledge & Templates (5 tools)

  • list_templates - Available prompt/code templates
  • list_patterns - Coding patterns library
  • list_learnings - Past experience records
  • render_template - Generate from template with variables
  • get_relevant_knowledge - Context-aware suggestions

🧠 Feedback & Learning (7 tools)

  • add_feedback - Record success/failure/improvement
  • get_similar_learnings - Find related experiences
  • get_top_patterns - Most frequently used patterns
  • get_trending_patterns - Recently popular patterns
  • get_pattern_stats - Detailed pattern metrics
  • detect_failure_patterns - Auto-detect risky approaches
  • check_pattern_risk - Risk assessment before using pattern

⚙️ Project Configuration (14 tools)

Tech Stack:

  • add_tech_stack - Add framework/library
  • update_tech_stack - Update version/config
  • remove_tech_stack - Remove technology

Sub-Agents (Guardians):

  • add_sub_agent - Register guardian agent
  • update_sub_agent - Modify agent config
  • sync_claude_code_agents - Sync from .claude/agents/
  • read_claude_code_agents - Read agent files
  • suggest_agents_for_task - AI-powered agent recommendations
  • update_agent_prompt_templates - Update prompt templates

MCP Tools Management:

  • add_mcp_tool - Register MCP tool
  • update_mcp_tool - Update tool config
  • suggest_tools_for_task - AI-powered tool recommendations

Guidelines & Patterns:

  • add_guideline - Add coding guideline
  • add_code_pattern - Add reusable pattern

📊 Task History & Events (13 tools)

  • get_task_history - Complete event timeline
  • get_status_history - Status transition log
  • get_decisions - Decision records
  • get_guardian_interventions - Guardian activity log
  • get_code_changes - Code modification history
  • record_decision - Log a decision with rationale
  • record_code_change - Log code modifications
  • record_guardian_intervention - Log guardian action
  • record_status_transition - Log status change
  • get_iteration_count - Count task iterations
  • get_task_snapshot - Task state at timestamp
  • rollback_task - Restore previous state
  • get_task_stats - Aggregate statistics

Kanban Board - For Everyone

Kanban Board

PM View:

  • Drag & drop user stories
  • See progress at a glance
  • Risk indicators in plain English
  • Export reports for stakeholders

Developer View:

  • Technical task details
  • Dependency indicators
  • Code complexity badges
  • Direct links to files

Task Detail Page - Deep Insights

Tab: Overview (PM-friendly)

  • User story description
  • Technical requirements
  • Assignee & priority
  • Dependencies explained

Tab: History (Audit trail)

  • Complete event timeline
  • Decision records with rationale
  • Code changes (with diffs)
  • Rollback capability

Tab: Dependencies (Developer focus)

  • Visual dependency graph
  • Resource impact analysis
  • Risk assessment
  • Conflict detection

┌─────────────────────────────────────────┐ │ PRODUCT MANAGER │ │ • Writes user stories │ │ • Monitors Kanban board │ │ • Reviews progress │ └─────────────────────────────────────────┘ ↓ (Dashboard) ┌─────────────────────────────────────────┐ │ ORCHESTRO DASHBOARD (Next.js) │ │ • Kanban board with real-time updates │ │ • Dependency graphs │ │ • Progress visualization │ └─────────────────────────────────────────┘ ↓ ↑ (Socket.io) ┌─────────────────────────────────────────┐ │ SUPABASE (Data Layer) │ │ • Tasks, dependencies, resources │ │ • Event queue & real-time sync │ │ • Knowledge base & pattern tracking │ └─────────────────────────────────────────┘ ↓ ↑ (PostgreSQL) ┌─────────────────────────────────────────┐ │ ORCHESTRO MCP SERVER (Conductor) │ │ • 27 tools for task orchestration │ │ • Pattern learning & risk detection │ │ • AI story decomposition │ └─────────────────────────────────────────┘ ↓ ↑ (MCP Protocol) ┌─────────────────────────────────────────┐ │ CLAUDE CODE (Developer + AI) │ │ • Analyzes codebase │ │ • Implements features │ │ • Records decisions │ └─────────────────────────────────────────┘

Story: E-commerce Checkout Flow

PM writes in dashboard:

"Customer should complete purchase with credit card payment and email confirmation"

Orchestro decomposes (AI-powered):

  1. ✅ Design checkout database schema (2h) - No dependencies
  2. ✅ Implement payment service integration (4h) - Depends on: #1
  3. ✅ Create checkout API endpoints (3h) - Depends on: #2
  4. ✅ Build checkout UI components (4h) - Depends on: #3
  5. ✅ Add email notification service (2h) - Depends on: #3
  6. ✅ Implement order confirmation flow (3h) - Depends on: #4, #5

Total: 18 hours, 6 tasks, dependencies mapped automatically

Developer flow (with autoAnalyze=true):

// 1. Decompose story (auto-analyzes tasks) decompose_story("Customer checkout with payment") // → Creates 6 tasks // → Auto-generates analysis prompts for tasks without dependencies // → Returns analysisPrompts[] ready to use // 2. Claude reviews analysis prompts // Prompts include: files to check, patterns to find, risks to identify // 3. Claude analyzes codebase using the prompts // Finds: existing payment tables, similar schemas // Risks: None (new table) // 4. Save analysis results save_task_analysis({ taskId: "task-1-id", filesToCreate: ["migrations/002_checkout.sql"], dependencies: [{type: "file", name: "001_orders.sql", action: "uses"}], risks: [] }) // 5. Get enriched context get_execution_prompt("task-1-id") // → Returns: related code, patterns, guidelines // 6. Implement! // Claude writes migration, runs tests // 7. Record learning add_feedback({ pattern: "e-commerce checkout schema", type: "success", feedback: "Stripe integration smooth" })

Key improvement: Step 1 now auto-prepares analysis, reducing manual workflow steps!

PM sees:

  • ✅ Task 1 → Done (real-time update)
  • 🟡 Task 2 → In Progress (Claude working)
  • ⏳ Tasks 3-6 → Blocked (waiting for dependencies)
  • 📊 Progress: 17% (1/6 tasks done)

🧪 Pattern Learning in Action

Automatic Failure Detection (Saves Time!)

// Scenario: Regex parsing keeps failing // Attempt 1 add_feedback({ pattern: "regex pattern matching", type: "failure", feedback: "Unescaped metacharacters broke parser" }) // Attempt 2 add_feedback({ pattern: "regex pattern matching", type: "failure", feedback: "Special chars not sanitized" }) // Attempt 3 add_feedback({ pattern: "regex pattern matching", type: "success", feedback: "Finally worked after sanitizing" }) // Now Orchestro knows... detect_failure_patterns() // 🚨 Returns: // { // pattern: "regex pattern matching", // failure_rate: 66.67%, // risk_level: "medium", // recommendation: "⚡ Review sanitization first!" // } // Next time, before using regex: check_pattern_risk("regex pattern matching") // ⚠️ Warning: "67% failure rate (2/3). // Common issue: Unescaped metacharacters. // Mitigation: Use sanitization helper first."

Result: Future regex tasks complete faster with fewer errors!


Backend (MCP Server)

  • TypeScript 5.0
  • @modelcontextprotocol/sdk
  • Supabase (PostgreSQL)
  • Socket.io for real-time

Frontend (Dashboard)

  • Next.js 14 (App Router)
  • React 18 + TypeScript
  • TailwindCSS + shadcn/ui
  • React Flow (graphs)
  • react-markdown (rendering)

Database (Supabase/PostgreSQL)

  • Core: projects, tasks, task_dependencies
  • Knowledge: learnings, patterns, templates, pattern_frequency
  • Resources: resource_nodes, resource_edges, code_entities, code_dependencies
  • System: event_queue, file_history, codebase_analysis
  • Tech: JSONB metadata, GIN indexes, Row-level security (RLS)

AI Integration

  • Claude Code (MCP protocol)
  • AI task decomposition
  • Pattern recognition
  • Risk assessment

  • Query Speed: <10ms with GIN indexes
  • 🔄 Real-time: 1s polling interval
  • 🗄️ Storage: Auto-cleanup processed events (24h)
  • 📊 Scalability: Tested with 100+ tasks
  • 🚀 Analysis: Non-blocking (delegated to Claude)
  • 👥 Users: Multi-PM, multi-developer ready

  • Environment Variables - No hardcoded secrets
  • Supabase RLS - Row-level security policies
  • Complete Audit Trail - Every decision recorded
  • Event Processing - Prevents duplicate actions
  • Local First - All data in your Supabase instance
  • GDPR Ready - Export & delete capabilities


✅ Phase 1: Core Orchestration (DONE)

  • 60 MCP tools fully functional and tested
  • Real-time dashboard with Kanban
  • AI story decomposition with dependencies
  • Pattern learning & failure detection
  • Dependency tracking & conflict detection
  • Task metadata (assignee, priority, tags, category)
  • Complete audit trail with task history
  • Project configuration management
  • Claude Code agent synchronization
  • AI-powered agent and tool suggestions

🚧 Phase 2: PM Empowerment (Current)

  • Non-technical PM dashboard view
  • Story templates for common features
  • Progress reporting & exports
  • Stakeholder notifications
  • Risk explanations in plain English

🔮 Phase 3: Team Intelligence

  • Multi-team workspaces
  • Cross-project pattern sharing
  • Velocity tracking & estimation
  • Auto-assignment based on expertise
  • Slack/Teams integration
  • LangGraph auto-orchestration
  • Predictive risk detection
  • Auto-conflict resolution
  • Code review automation
  • Documentation generation

We welcome contributions from PMs, Developers, and AI enthusiasts!

For Product Managers:

  • 📝 Share user story templates
  • 💡 Suggest PM-friendly features
  • 📊 Report UX issues

For Developers:

  • 🔧 Submit bug fixes
  • ✨ Add new MCP tools
  • 📈 Improve pattern detection

How to contribute:

  1. Fork the repo
  2. Create feature branch (git checkout -b feature/amazing-feature)
  3. Commit changes (git commit -m 'Add amazing feature')
  4. Push to branch (git push origin feature/amazing-feature)
  5. Open Pull Request

v2.1.0 (2025-10-10) - Current 🎉

  • Published to MCP Registry - Now in Official MCP Registry
  • NPM Package - Published as @khaoss85/orchestro on npm
  • 60 MCP Tools - Expanded from 27 to 60 production-ready tools
  • Automatic Task Analysis - decompose_story now auto-prepares analysis prompts (autoAnalyze=true default)
  • Project Configuration System - Complete tech stack, agents, tools management
  • Claude Code Agent Sync - Automatic sync with .claude/agents/ directory
  • AI Agent/Tool Suggestions - Smart recommendations for tasks
  • Task History & Events - Complete audit trail with 13 history tools
  • User Story Health - Monitor completion and status alignment
  • Bug Fix - Resolved SQL error in get_project_configuration
  • Full Test Coverage - All 60 tools tested and verified (96.7% success)
  • Rebranded to Orchestro - "Your AI Development Conductor"
  • Pattern Analysis Tools - 5 new MCP tools for failure detection
  • Pattern Frequency - Automatic tracking with database triggers
  • Risk Assessment - detect_failure_patterns & check_pattern_risk
  • Task Metadata - assignee, priority, tags fields
  • PM-focused Documentation - Updated for product owners
  • ✅ New workflow: MCP orchestrates, Claude Code analyzes
  • ✅ 3 execution tools: prepare, save_analysis, get_execution_prompt
  • ✅ tasks.metadata JSONB column
  • ✅ Event queue updated (8 event types)
  • ✅ Guardian verification passed
  • Initial MCP implementation
  • Basic task management
  • AI story decomposition
  • Knowledge base integration

"As a PM, I finally understand what developers are building in real-time. Orchestro bridges the gap between product vision and technical implementation."Your testimonial here

"Pattern learning saved us hours. The system warned about a risky approach before we wasted time on it."Your testimonial here



MIT License - See LICENSE file for details



🎭 Ready to Conduct Your Development Symphony?

Transform product ideas into production code with AI orchestration

Get Started · PM Guide · Dev Guide · See Examples


Status: ✅ Production Ready (96.7% Test Coverage) Version: 2.1.0 NPM: @khaoss85/orchestro Registry: MCP Registry MCP Tools: 60 Made for: PMs · Developers · Claude Code


🎼 Conducting development, one task at a time

Made with ❤️ by developers who care about product

⭐ Star us on GitHub to support the project!

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