The complete platform to build, test, deploy, and serve Model Context Protocol applications. Production-ready from day one.
Large Language Models are powerful but isolated. MCP gives them the ability to interact with your data, tools, and the real world.
Claude, GPT, Gemini
Data, APIs, Actions
From your first line of code to serving millions of users, NitroStack has you covered.

The Framework
Build scalable, production-ready MCP servers with a modular, decorator-based architecture. Type-safe, extensible, and designed for teams.
@Tool({ name: 'analyze' })
@Widget('dashboard')
@UseGuards(AuthGuard)
async analyze(input: Input) {
const result = await this.service
.process(input);
return {
data: result,
widget: 'dashboard'
};
}
The Workbench
A dedicated development environment for building and testing MCP tools and widgets. See your changes in real-time, test authentication flows, and debug with confidence.

The Platform
Deploy your MCP servers with one click. Auto-scaling infrastructure, real-time logs, custom domains, and enterprise-grade security out of the box.

The Client
A managed, web-based SSE client for your MCP servers. Share your AI agents with anyone via a simple link. Embeddable, customizable, and mobile responsive.
Every feature designed with enterprise requirements in mind.
OAuth 2.1, JWT authentication, role-based access control, and audit logging built-in from day one.
Optimized for performance with SSE streaming, connection pooling, and intelligent caching strategies.
Decorator-based design enables clean separation of concerns and easy testing at every layer.
Comprehensive metrics, distributed tracing, and structured logging for full system visibility.
Git-native deployments with preview environments, rollbacks, and branch-based staging.
Deploy to regions worldwide with automatic failover and intelligent traffic routing.
From autonomous agents to enterprise integrations, accelerate your AI development.
Deploy interactive applications that run natively inside LLM contexts like Claude and ChatGPT.
Create robust connectors that bridge proprietary systems with modern AI models.
Build protected dashboards and workflows accessible only to your organization.
Develop real-time monitoring interfaces for AI systems and infrastructure.
Launch context-aware assistants with built-in memory and domain expertise.
Compose autonomous multi-step agents that reason, plan, and execute complex tasks.
Join developers building the next generation of AI applications with the only full-stack MCP platform.