Full-stack Model Context Protocol platform for building, testing, and deploying MCP servers and agentic AI applications
Memory that follows you between AI apps
Stage
Not given
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Founded
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Based in
US
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Pricing model
Freemium
Open source
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
Connect to Claude via custom connector in Settings
Add to ChatGPT with developer mode
Automatic session save for Claude Code and Codex
Save and resume sessions with brief summaries
GitHub sign-in for private separate memory
Delete individual memories or all data by email
Zero model calls to save a session
Session brief generated in ~450 tokens
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
Shared memory across multiple AI apps and agents, not confined to one app
Setup in about one minute with no credit card or waitlist
Open source code so users can verify data handling
No data selling, ads or use for AI model training
Private per-account database with no cross-account access
NitroStack
CogniCore