🚀 AI Capability Extension Suite

What if AI agents could actually see, debug, and control your development environment?

We've built the most comprehensive suite of MCP servers that give AI agents superpowers they've never had before. This isn't just another tool collection—it's a paradigm shift that transforms AI assistants from code generators into intelligent development partners with runtime visibility, system control, and physical world access.

📝 Note: All packages have been split into individual Git submodules with their own repositories for better maintainability and independent versioning. Each package now has its own dedicated repository under the Digital-Defiance organization.

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📦 Quick Index

🐛 MCP ACS Debugger

25+ debugging tools for AI agents | VS Code Extension | NPM | Docker

• ✅ VS Code Extension with GitHub Copilot integration
• ✅ 94.53% test coverage, 1,059 tests
• ✅ Performance profiling, hang detection, advanced breakpoints
• 🎯 Kiro Superpower in development - Enhanced AI debugging workflows

📸 MCP ACS Screenshot

Visual UI capture and analysis | VS Code Extension | NPM | Docker

• ✅ Full screen, window, and region capture
• ✅ PII masking with OCR integration
• ✅ 267 tests, cross-platform support
• 🎯 Kiro Superpower in development - AI-powered visual analysis

⚙️ MCP ACS Process

Enterprise-grade process management | VS Code Extension | NPM | Docker

• ✅ 12 process management tools
• ✅ 6 layers of security validation
• ✅ Resource monitoring and service management
• 🎯 Kiro Superpower in development - Intelligent process orchestration

🎯 Akira

Spec-driven development for GitHub Copilot | Repository

• ✅ EARS-compliant requirements engineering
• ✅ Property-based testing integration
• ✅ Structured Requirements → Design → Tasks → Execution workflow
• ✅ MCP-powered persistent context across chat sessions

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🎯 Now Available on VS Code Marketplace

⚡ Install the VS Code Extension →

Our flagship MCP ACS Debugger is now available as a native VS Code extension, bringing professional-grade debugging capabilities directly to your editor with zero configuration required.

Why developers love it:

• ✅ One-click installation from VS Code Marketplace
• ✅ GitHub Copilot integration for AI-powered debugging
• ✅ 25+ debugging tools accessible to AI agents
• ✅ Zero configuration - works immediately after install
• ✅ Enterprise-grade quality with 94.53% test coverage
• ✅ 1,059 passing tests

View on VS Code Marketplace →

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🤔 The Problem We're Solving

AI agents today are powerful but blind:

• ❌ Can't see what code actually does when it runs
• ❌ Can't capture your screen or record demonstrations
• ❌ Can't manage files beyond basic read/write
• ❌ Can't control processes or applications
• ❌ Can't interact with your actual development environment

Result: You're stuck doing manual work that AI should handle.

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🎯 What We've Built: The Complete Solution

The AI Capability Extension Suite provides 5 comprehensive MCP servers that give AI agents professional-grade capabilities, plus Akira:

🐛 1. MCP ACS Debugger

The most comprehensive debugging interface for AI agents - our flagship product

Repositories: Core | Server | VS Code Extension

✨ Now available as a VS Code extension! Install from Marketplace →

The Problem: AI agents were blind to runtime behavior. They could read your code and suggest fixes, but couldn't see what was actually happening when your code ran. Debugging remained a frustratingly manual process.

The Solution: AI agents can now debug like senior developers—setting breakpoints, inspecting variables, profiling performance, and detecting infinite loops in real-time. Available as both a standalone MCP server and a native VS Code extension with GitHub Copilot integration.

🎨 VS Code Extension Features

Zero-Configuration Setup:

• Install from VS Code Marketplace with one click
• Automatic MCP server integration
• No manual configuration required
• VS Code extension works with any language via Debug Adapter Protocol
• Standalone MCP server works with Node.js/JavaScript via Chrome DevTools Protocol

GitHub Copilot Integration:

• AI-powered debugging assistance in your editor
• Copilot can access debugging context and tools
• Natural language debugging commands
• Intelligent breakpoint suggestions

Native IDE Integration:

• Language Server Protocol (LSP) for code intelligence
• Debug Adapter Protocol (DAP) for seamless debugging
• Hover providers for variable inspection
• Code lens for breakpoint management
• Integrated debugging UI

Professional Debugging Workflow:

• Set breakpoints with right-click context menu
• Step through code with keyboard shortcuts
• Inspect variables in hover tooltips
• View call stack in debug panel
• Profile performance without leaving editor

Language Support:

• VS Code Extension: Multi-language support via Debug Adapter Protocol
  • JavaScript/TypeScript, Python, Java, C/C++, Go, Rust, PHP, Ruby, and more
  • Test Frameworks: Jest, Mocha, Vitest, pytest, JUnit, go test, cargo test
  • Frameworks: React, Vue, Angular, Django, Spring Boot, and more
• Standalone MCP Server: Node.js/JavaScript only via Chrome DevTools Protocol
  • Full TypeScript support with source maps
  • Test Frameworks: Jest, Mocha, Vitest
  • Frameworks: Express, Nest.js, React (Node.js SSR), and more

🔥 Why This Changes Everything

For Developers:

• "Debug this for me" becomes reality—AI investigates and fixes runtime issues
• Instant performance insights—AI identifies bottlenecks and memory leaks automatically
• Intelligent test debugging—AI debugs failing tests and suggests precise fixes
• Proactive hang detection—Never lose time to infinite loops again

For AI Agents:

• Runtime visibility—See what's actually happening when code executes
• Interactive debugging—Set breakpoints, step through code, inspect state
• Performance analysis—Profile CPU, memory, and execution timelines
• Intelligent problem solving—Combine static analysis with runtime behavior

🛠️ 25+ Professional Debugging Tools

Core Debugging (17 tools):

• 🚀 Session management (start, stop with clean shutdown)
• 🎯 Breakpoint operations (set, remove, toggle, list with conditional logic)
• ▶️ Execution control (continue, step over/into/out, pause)
• 🔍 Variable inspection (evaluate expressions, inspect objects, watch variables)
• 🗺️ Call stack navigation (get stack, switch frames)
• ⚠️ Hang detection (intelligent infinite loop identification)

Advanced Breakpoints (4 tools):

• 📝 Logpoints - Non-breaking observation with variable interpolation
• 🚨 Exception breakpoints - Break on caught/uncaught exceptions with filtering
• 🎯 Function breakpoints - Break on function entry with regex matching
• 🔢 Hit count conditions - Break after N hits or every Nth hit

Performance Profiling (4 tools):

• 🔥 CPU profiling - Real-time performance analysis with flame graphs
• 🧠 Memory profiling - Heap snapshots and leak detection
• 📉 Performance metrics - Timeline analysis and regression detection
• 📊 Resource monitoring - Track CPU, memory, and execution patterns

🏆 What Makes This Different

Comparison with Other Solutions:

Feature	Our MCP ACS Debugger	Other MCP ACS Debuggers	VS Code Built-in	Chrome DevTools
AI Agent Integration	✅ Full MCP + VS Code	⚠️ Basic MCP only	❌ No AI integration	❌ No AI integration
Number of Tools	✅ 25+ tools	⚠️ 5-10 tools	⚠️ Limited API	⚠️ Manual only
Performance Profiling	✅ CPU, Memory, Timeline	❌ None	⚠️ Basic	✅ Advanced
Hang Detection	✅ Automatic	❌ None	❌ None	❌ Manual
Advanced Breakpoints	✅ 4 types	❌ Basic only	⚠️ Limited	✅ Advanced
Enterprise Security	✅ Full suite	❌ None	❌ None	❌ None
Test Coverage	✅ 94.53%	⚠️ <50% typical	N/A	N/A
TypeScript Support	✅ Full source maps	⚠️ Limited	✅ Good	✅ Good
Test Framework Integration	✅ Jest, Mocha, Vitest	❌ None	⚠️ Manual	⚠️ Manual
VS Code Extension	✅ Native	❌ None	N/A	❌ Separate tool
GitHub Copilot Integration	✅ Full	❌ None	⚠️ Limited	❌ None
Production Ready	✅ Yes	⚠️ Beta/Alpha	✅ Yes	✅ Yes
Cross-Platform	✅ Linux, macOS, Windows	⚠️ Limited	✅ Yes	✅ Yes
Deployment Options	✅ 4 options	⚠️ 1-2 options	N/A	N/A

Key Differentiators:

• 25+ tools vs basic breakpoint/step operations in alternatives
• Performance profiling (CPU, memory, timeline) - unique in MCP ecosystem
• Hang detection with infinite loop identification - no other MCP server has this
• Advanced breakpoint types (logpoints, exception, hit count, function)
• Enterprise security (authentication, rate limiting, PII masking, audit logging)
• Production readiness (graceful shutdown, circuit breakers, retry logic)
• Multi-language support via VS Code's Debug Adapter Protocol
• Source map support for TypeScript and transpiled languages
• Test framework integration (Jest, Mocha, Vitest, pytest, JUnit, go test, cargo test)
• 94.53% test coverage with 1,059 tests (most MCP servers have minimal testing)
• Property-based testing with 22 correctness properties
• Load testing with 100+ concurrent sessions
• Multiple deployment options (VS Code extension, NPM, Docker, binaries)
• Native VS Code integration with LSP/DAP protocols
• GitHub Copilot integration for AI-powered debugging

📊 Enterprise-Grade Quality

Most MCP servers are hobby projects. We've built enterprise software:

• 94.53% line coverage exceeding 90% enterprise target ✅
• 83.45% branch coverage approaching 85% target
• 1,059 tests with 99.81% pass rate
• Zero skipped tests ✅
• 22 correctness properties verified with fast-check
• Load testing (100+ concurrent debug sessions)
• Chaos testing (random failures, network issues)
• Security testing (authentication bypass attempts)
• Performance benchmarks (sub-100ms response times)
• Compatibility testing (Node.js 16-22, TypeScript 4.x-5.x)

🎮 Real-World Use Cases

"AI, debug this failing test"

You: "My Jest test is failing but I can't figure out why"
AI: *Sets breakpoints in test, inspects variables, identifies exact divergence*
AI: "Line 42: API returns string but test expects number. Here's the fix..."

"AI, find the performance bottleneck"

You: "This function is slow but I don't know why"
AI: *Starts CPU profiling, analyzes flame graphs, identifies hot paths*
AI: "Bottleneck in nested loop on line 156. Here's 10x faster version..."

"AI, why is my app hanging?"

You: "My Node.js app freezes randomly"
AI: *Detects infinite loop, captures call stack, identifies root cause*
AI: "Infinite loop in processQueue() - exit condition never true because..."

"AI, debug this Node.js issue"

You: "My Express server crashes on startup"
AI: *Sets breakpoints, inspects variables, traces execution*
AI: "Missing environment variable 'PORT' on line 23. Server tries to bind to undefined port..."

🚀 Get Started

Option 1: VS Code Extension (Recommended for VS Code users)

# Install from VS Code Marketplace
# Search for "MCP ACS Debugger" or visit:
# https://marketplace.visualstudio.com/items?itemName=digitaldefiance.ts-mcp-debugger

# Or install via command line
code --install-extension digitaldefiance.ts-mcp-debugger

Features:

• ✅ Zero configuration - Works out of the box
• ✅ GitHub Copilot integration - AI-powered debugging assistance
• ✅ Native VS Code debugging - Seamless IDE integration
• ✅ Language Server Protocol - Smart code intelligence
• ✅ Debug Adapter Protocol - Full debugging capabilities

Option 2: Standalone MCP Server (For other AI agents)

# NPM (Recommended)
npm install -g @ai-capabilities-suite/mcp-debugger-server

# Docker
docker run digitaldefiance/mcp-debugger-server

# Configure your AI agent (Kiro, Amazon Q, etc.)
{
  "servers": {
    "debugger": {
      "command": "mcp-debugger-server"
    }
  }
}

Option 3: From Source

# Clone and build
git clone https://github.com/digital-defiance/ai-capabilities-suite.git
cd ai-capabilities-suite
yarn install && yarn build

# Run debugger server
node packages/mcp-debugger-server/dist/src/index.js

📚 Documentation:

• 👉 VS Code Extension Guide
• 👉 Complete debugger documentation
• 👉 Production status report
• 👉 MCP ACS Debugger Server Repository
• 👉 MCP ACS Debugger Core Repository
• 👉 VS Code Extension Repository

📦 Installation & Usage

VS Code Extension (Recommended for VS Code users):

1. Install from Marketplace:

   • Open VS Code
   • Go to Extensions (Ctrl+Shift+X / Cmd+Shift+X)
   • Search for "MCP ACS Debugger"
   • Click Install
   • Or visit: https://marketplace.visualstudio.com/items?itemName=digitaldefiance.ts-mcp-debugger

2. Start Debugging:

   • VS Code extension: Open any source code file
   • Standalone MCP server: Open JavaScript or TypeScript file
   • Set breakpoints by clicking in the gutter
   • Press F5 to start debugging
   • Use GitHub Copilot to ask debugging questions

3. Use with Copilot:

   You: "@workspace debug this failing test"
   Copilot: *Uses MCP debugger to investigate*
   Copilot: "Found the issue on line 42. The API returns..."
   

Standalone MCP Server (For other AI agents):

1. Install globally:

   npm install -g @ai-capabilities-suite/mcp-debugger-server
   

2. Configure your AI agent:

   {
     "mcpServers": {
       "debugger": {
         "command": "mcp-debugger-server"
       }
     }
   }
   

3. Use with your AI agent:

   You: "Debug my Node.js app"
   AI: *Uses MCP tools to start debugging session*
   AI: "Started debug session. Set breakpoint at app.js:42..."
   

📸 2. MCP ACS Screenshot

Transform AI agents from code readers into visual UI experts and documentation partners

Repositories: MCP ACS Screenshot | VS Code Extension

✨ Now available on NPM, Docker Hub, and VS Code Marketplace!

The Problem: AI agents were blind to your actual user interface. They could read HTML/CSS and suggest improvements, but couldn't see what users actually experience—broken layouts, poor contrast, misaligned elements, or accessibility issues.

The Solution: AI agents now have visual superpowers—they can see, analyze, and document your applications like a senior UX designer. From automated documentation generation to accessibility audits, AI can now work with what users actually see.

🎨 Key Features

Screenshot Capture:

• Full screen capture with multiple format support (PNG, JPEG, WebP, BMP)
• Window-specific capture by title or ID
• Region capture with precise boundary control
• Display management - list and target specific monitors
• Quality control - adjustable compression and optimization

Privacy & Security:

• PII masking with Tesseract OCR integration
• Window exclusion - skip sensitive applications
• Secure defaults - privacy-first configuration
• Permission handling - proper system permission checks

Cross-Platform Support:

• Linux: X11 and Wayland support
• macOS: Native screenshot APIs
• Windows: Windows API integration
• Docker: Headless capture with Xvfb

🛠️ 5 Professional Screenshot Tools

1. screenshot_capture_full - Capture entire screen with format options (PNG, JPEG, WebP, BMP)
2. screenshot_capture_window - Capture specific application windows by title or ID
3. screenshot_capture_region - Capture rectangular screen regions with precise boundaries
4. screenshot_list_displays - List connected displays with resolutions and scaling
5. screenshot_list_windows - List visible windows with titles, positions, and dimensions

Privacy & Security Features:

• PII Masking - Automatically detect and blur sensitive information (emails, phone numbers, credit cards)
• Window Exclusion - Skip password managers and authentication dialogs
• Secure Defaults - Privacy-first configuration out of the box
• Permission Handling - Proper system permission checks and user consent

📊 Enterprise-Grade Quality

• 267 tests with 100% pass rate
• Full MCP protocol compliance verified
• E2E testing (25 tests) for protocol validation
• Unit testing (242 tests) for comprehensive coverage
• VSCode extension testing (80+ tests)
• Cross-platform validation (Linux, macOS, Windows)
• Graceful failure handling for headless environments

🚀 Get Started

NPM Package:

npm install -g @ai-capabilities-suite/mcp-screenshot
npx @ai-capabilities-suite/mcp-screenshot

Docker:

docker run -v $(pwd)/screenshots:/app/screenshots digitaldefiance/mcp-screenshot:latest

VSCode Extension:

• Search "MCP ACS Screenshot" in VS Code Extensions
• Or visit: https://marketplace.visualstudio.com/items?itemName=DigitalDefiance.mcp-screenshot

🎯 Revolutionary Use Cases

"AI, create professional documentation"

You: "Document the user onboarding flow"
AI: *Captures each step, analyzes UI elements*
AI: "Generated step-by-step guide with 8 annotated screenshots, user journey map, and accessibility notes..."

"AI, audit this design for accessibility"

You: "Check if this form meets WCAG standards"
AI: *Captures form, analyzes contrast and spacing*
AI: "Found 3 issues: Submit button has 2.1:1 contrast (needs 4.5:1), labels lack focus indicators, touch targets under 44px..."

"AI, help debug this responsive layout"

You: "Why does my navbar break on mobile?"
AI: *Captures multiple viewport sizes*
AI: "Navigation collapses at 768px but hamburger menu overlaps logo. Here's the CSS fix with before/after comparison..."

"AI, compare these two design options"

You: "Which landing page converts better?"
AI: *Captures both versions, analyzes visual hierarchy*
AI: "Version B has 34% better visual flow—CTA button more prominent, hero text clearer, social proof positioned optimally..."

"AI, create a bug report with visuals"

You: "The checkout form validation isn't working"
AI: *Captures error states and user flow*
AI: "Created detailed bug report with 5 screenshots showing error conditions, expected vs actual behavior, and reproduction steps..."

🔥 What This Changes

Before: AI worked blind, relying on code descriptions

• ❌ "The layout looks broken" → AI guesses what's wrong
• ❌ "Create documentation" → AI writes generic text without visuals
• ❌ "Check accessibility" → AI can only review code, not actual contrast
• ❌ "Debug responsive design" → AI can't see actual breakpoint behavior