Full-stack Model Context Protocol platform for building, testing, and deploying MCP servers and agentic AI applications
Post-train specialized models for your task, creating an AI edge your competitors can't buy
Stage
Not given
Established
Founded
Not given
Not given
Based in
US
IL
Pricing model
Freemium
Contact for pricing
Pricing
Hobby: free forever with 30k requests/mo; Pro: $30/org/mo with 300k requests/mo included and $0.10 per 1k extra requests beyond 300k; Enterprise: custom pricing starting at $250/mo with dedicated infrastructure and custom SLAs.
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Key features
Open-source TypeScript SDK with declarative decorators and Zod validation
NitroStudio desktop IDE for visual tool testing and AI reasoning visualization
NitroCloud serverless hosting with auto-scaling and custom domains
GitHub integration for one-click deployment
Enterprise authentication modules
White-label NitroChat AI interface
99.99% uptime SLA on NitroCloud
API to MCP conversion tools
Forward-Deployed Researchers provide end-to-end model training and optimization
Custom evaluation suite development from real tasks
Production-ready deployment with cost-quality trade-offs
Deployment flexibility including on-premises and VPC options
Data security with no retention and full traceability
Continuous model improvement from production traffic
Customer ownership of model weights and training recipes
What makes it different
Designed for teams building custom MCP tools from their own APIs, not a catalog of prebuilt connectors
Complete full-stack platform combining SDK, IDE, and cloud hosting in one suite
Open-source core with npm-installable packages for SDK, CLI, and UI widgets
80,000 deployments and 13 million requests already in production
Enterprise-grade security with AES-256 encryption and JWT authentication
Customers own specialized models trained on proprietary data, not rented general-purpose models
Achieve frontier-level quality at lower costs through specialized training
Five years of experience with diverse post-training and optimization methods
Models ship production-ready in weeks with ongoing improvement capability
Secure deployment with no data retention and auditable access controls
NitroStack
AI21