MCP Integration
Native Model Context Protocol integration enables seamless connectivity with any AI model, creating a unified platform for multi-agent orchestration.
MCP Protocol Advantages
Model Context Protocol revolutionises AI integration by providing a standardised way to connect with any AI model through a unified interface.
Universal AI Model Support
Connect with any MCP-compatible AI model - OpenAI, Anthropic, Google, or custom models - through a single unified interface.
- Model agnostic architecture
- Hot-swappable AI models
- Zero vendor lock-in
Native MCP Protocol Integration
First-class support for Model Context Protocol ensures seamless communication between your agents and AI models.
- Protocol compliance
- Real-time model switching
- Optimised performance
Dynamic Configuration
Configure and reconfigure AI model connections without downtime, enabling flexible deployment strategies.
- Live configuration updates
- Environment-specific settings
- A/B testing support
Enterprise Security
Enterprise-grade security with encrypted communications, audit trails, and compliance-ready logging.
- End-to-end encryption
- SOC 2 compliance
- Complete audit trails
Supported AI Models
Connect with leading AI models through standardised MCP protocol integration. No vendor lock-in, maximum flexibility.
Large Language Models
OpenAI GPT-4
Advanced reasoning and code generation
Anthropic Claude
Constitutional AI with safety focus
Google Gemini
Multimodal AI with vision capabilities
Meta Llama
Open-source foundation models
Specialized Models
Code Generation
GitHub Copilot, CodeT5, StarCoder
Image Processing
DALL-E, Midjourney, Stable Diffusion
Data Analysis
Custom analytics and prediction models
Domain-Specific
Healthcare, finance, and industry models
Quick Integration
Get started with MCP integration in minutes. Our platform handles the complexity while you focus on building intelligent workflows.
Install MCP Connector
Add the HyperionWave MCP connector to your existing infrastructure with a single command or Docker container.
docker run -d hyperionwave/mcp-connectorConfigure Models
Connect your AI models through our intuitive dashboard or configuration files. Support for multiple providers simultaneously.
hyperion configure --model openai --api-key YOUR_KEYDeploy Agents
Launch intelligent agents that automatically discover and utilize available models through the MCP protocol.
hyperion deploy --agents development,testing,productionScale & Monitor
Monitor model performance, scale automatically, and optimise costs through intelligent model routing and caching.
hyperion monitor --dashboard --alerts enabledMCP Use Cases
Leverage MCP integration to build sophisticated AI workflows that adapt to your needs, scale automatically, and optimise costs.
Multi-Model Development
Use different AI models for different tasks - GPT-4 for reasoning, Claude for safety-critical decisions, and specialized models for domain expertise.
Model Failover & Load Balancing
Automatically switch between models based on availability, cost, or performance requirements with zero downtime.
Cost Optimisation
Route requests to the most cost-effective model while maintaining quality thresholds and SLA requirements.
A/B Testing & Experimentation
Compare model performance, run experiments, and gradually roll out new models with built-in metrics and analytics.
Ready to Integrate?
Start building with MCP integration today. Our platform makes it easy to connect any AI model and create intelligent multi-agent workflows.