Information for LLM agents
Our website supports the LLMS.txt API
LLMS.txt API Support
Access structured information about VisioForge SDKs through our LLMS.txt API endpoints:
Context7 MCP Support
VisioForge SDKs are now available as a Model Context Protocol (MCP) server through Context7, providing enhanced AI assistant capabilities with direct access to our comprehensive documentation.
MCP Integration Features
- •Direct access to VisioForge SDK documentation within AI assistants
- •Real-time API reference lookup and code examples
- •Context-aware suggestions based on your project requirements
- •Seamless integration with Claude, ChatGPT, and other MCP-compatible tools
Access VisioForge Library on Context7
Browse our complete documentation and code samples
Supported AI Development Tools
VisioForge SDKs are optimized for use with modern AI-powered development tools. Our comprehensive documentation and well-structured APIs enable these tools to generate accurate, production-ready code.
AI Code Assistants
- Claude Code
Anthropic's official coding assistant with MCP support for direct VisioForge documentation access
- Cursor
AI-first IDE with MCP integration for enhanced VisioForge SDK code generation
- GitHub Copilot
Context-aware suggestions for video capture, playback, and editing implementations
- Windsurf (Codeium)
Advanced AI editor with flow-based coding for media pipeline development
- OpenAI Codex
Powers GitHub Copilot and standalone API for automated code generation with VisioForge SDKs
LLM Platforms
- ChatGPT / GPT-4
Generate complex media processing workflows with natural language prompts
- Claude (Anthropic)
Excellent for architectural decisions and complex media pipeline design
- Amazon CodeWhisperer
AWS-integrated suggestions for cloud media processing workflows
- Google Gemini
Multimodal understanding for video processing and analysis tasks
Example AI Prompts
Use these prompts with your preferred AI assistant to quickly generate VisioForge SDK implementations:
For Claude Code or Cursor:
"Create a C# WPF application using VisioForge Video Capture SDK to record webcam video with real-time face detection overlay, saving to MP4 with H.264 encoding"For media processing:
"Using VisioForge Media Blocks SDK, build a pipeline that ingests RTSP stream, applies denoising filter, overlays timestamp, and outputs to both local file and RTMP server"For cross-platform development:
"Generate a .NET MAUI application with VisioForge Media Player SDK that works on Windows, macOS, iOS and Android with hardware acceleration"Ready to Start Building?
Our SDKs are designed for seamless integration with AI development workflows. Get started with comprehensive documentation and sample code.