Compatibility & Technical Specifications

Maguyva.ai is designed to work seamlessly with your existing development environment and toolchain. It is able to transform text generally, but is optimized for specific content like programming languages and other languages. Below is a list of languages it will give the best results with.

Programming Languages

Maguyva.ai fully supports a comprehensive range of programming languages and technologies:

Programming Languages

• Python - Versatile scripting and web development language
• JavaScript - Client-side web development and Node.js
• TypeScript - Type-safe JavaScript for large applications
• Java - Enterprise applications and Android development
• Go - Cloud-native and systems programming
• Rust - Systems programming with memory safety
• C++ - High-performance systems and applications
• C - Low-level systems and embedded programming
• C# - Microsoft .NET ecosystem development
• Ruby - Web applications and automation scripts
• PHP - Server-side web development
• Swift - iOS and macOS application development
• Kotlin - Android development and JVM applications
• Scala - JVM functional programming and big data
• R - Statistical computing and data analysis
• Julia - High-performance scientific computing
• Lua - Lightweight scripting and game development
• Perl - Text processing and system administration
• Haskell - Pure functional programming language
• Elixir - Concurrent and fault-tolerant systems
• Erlang - Distributed and concurrent applications
• Clojure - JVM functional programming with Lisp syntax
• F# - .NET functional programming language
• OCaml - Functional programming with strong typing
• Dart - Flutter mobile and web development
• Nim - Systems programming with Python-like syntax
• Zig - Low-level programming with compile-time safety

Shell Scripts

• Bash - Unix/Linux shell scripting
• PowerShell - Windows automation and administration

Markup and Documentation

• Markdown - Lightweight markup for documentation
• reStructuredText - Python documentation standard
• AsciiDoc - Technical documentation format
• LaTeX - Academic and scientific typesetting

Configuration Files

• YAML - Human-readable data serialization
• JSON - JavaScript Object Notation data format
• TOML - Configuration file format
• XML - Extensible markup language
• INI - Simple configuration file format

Web Technologies

• HTML - Web page structure and content
• CSS - Web styling and layout
• SCSS - Enhanced CSS with variables and nesting
• Vue - Progressive JavaScript framework templates

Specialized Languages

• SQL - Database queries and management
• GraphQL - API query language
• Protocol Buffers - Data serialization format
• Dockerfile - Container image definitions
• Terraform - Infrastructure as code

Smart Contracts

• Solidity - Ethereum smart contract development
• Vyper - Python-like smart contract language
• Move - Secure smart contract programming language

Repository Integration

Supported Code Repositories

• GitHub - Public and private repositories
• GitLab - (Planned)
• Bitbucket - (Planned)

Version Control Features

• Branch-specific analysis
• Commit history integration
• Pull request context
• Tag and release integration

File Format Support

Maguyva.ai can process and optimize context from a wide variety of file formats:

Documentation Formats

• PDF - Technical documentation, specifications
• DOCX - Microsoft Word documents
• RTF - Rich text format documents
• HTML - Web documentation and wikis
• Markdown - README files, technical docs
• EPUB - Electronic books and manuals

Data Formats

• CSV - Comma-separated values
• XML - Structured data and configuration
• JSON - API documentation and data
• YAML - Configuration files
• TOML - Configuration files

Media Formats

• Audio - MP3, WAV, M4A (transcription)
• Video - MP4, AVI, MOV (transcription and analysis)
• Images - PNG, JPG, GIF, SVG (OCR and analysis)

Presentation Formats

• PPTX - PowerPoint presentations
• ODP - OpenDocument presentations
• PDF - Presentation slides

Model Context Protocol (MCP) Compatibility

Supported AI Agents (any that have a MCP client, not complete list)

• Claude - Anthropic’s AI assistant
• GPT Models - OpenAI’s language models
• Gemini - Google’s multimodal AI
• Local Models - Ollama, LM Studio, and other local deployments
• Custom Agents - Any MCP-compatible AI system

Integration Benefits

• No Vendor Lock-in - Switch between models freely
• Consistent Context - Same optimized data across all models
• Future-Proof - Works with new MCP-compatible models automatically

Security & Privacy

Data Protection

• End-to-end Encryption - All data encrypted in transit and at rest
• No Data Retention - Your code never stored permanently
• Private Processing - Isolated processing environments
• Compliance Ready - SOC 2, GDPR, and enterprise security standards

Access Controls

• Token-based Authentication - Secure API access
• Repository Permissions - Respects existing access controls
• Audit Logging - Track all data processing activities

Platform Support

Operating Systems

• Windows - Windows 10/11, Windows Server
• macOS - macOS 10.15+ (Intel and Apple Silicon)
• Linux - Ubuntu, CentOS, RHEL, Debian, Alpine
• Container Platforms - Docker, Kubernetes, OpenShift

Cloud Platforms

• AWS - EC2, Lambda, ECS, EKS
• Google Cloud - Compute Engine, Cloud Functions, GKE
• Microsoft Azure - Virtual Machines, Functions, AKS
• Digital Ocean - Droplets, App Platform, Kubernetes
• Vercel - Static sites and serverless functions
• Netlify - JAMstack deployments

API & Integration Support

REST API

• Full RESTful API - Complete programmatic access
• OpenAPI/Swagger - Auto-generated documentation
• Rate Limiting - Fair usage policies
• Webhooks - Real-time event notifications

SDKs & Libraries

• Python SDK - pip install maguyva-python
• Node.js SDK - npm install maguyva-js
• Go SDK - go get github.com/maguyva/go-sdk
• Rust SDK - cargo add maguyva-rust
• CLI Tool - Cross-platform command line interface

IDE Integrations

• VS Code Extension - Direct editor integration
• JetBrains Plugin - IntelliJ, PyCharm, WebStorm support
• Vim/Neovim - Command line integration
• Emacs - Elisp package available

Performance Specifications

Processing Capabilities

• File Size Limits - Up to 100MB per file
• Repository Size - Up to 10GB total repository size
• Concurrent Processing - Multi-threaded optimization
• Response Times - Sub-second context generation

Scalability Features

• Auto-scaling - Handles traffic spikes automatically
• Global CDN - Fast content delivery worldwide
• Load Balancing - High availability architecture
• 99.9% Uptime SLA - Enterprise reliability guarantee

Getting Started

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