Full-stack Model Context Protocol platform for building, testing, and deploying MCP servers and agentic AI applications
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Stage
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Founded
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Based in
US
US
Pricing model
Freemium
Freemium
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
Search people by title, function, seniority, location, company size, tech and industry
Search and enrich companies by domain, headcount, industry, tech stack and hiring signals
Scrape careers pages and company homepages for open roles, products and pricing
Match reasons and freshness dates on every record
Works with Claude, ChatGPT, Cursor and any MCP client
REST API with TypeScript and Python SDKs
Field-level checked_at and verified_at dates
Source and data-rights metadata on every field
Free SKILL.md playbooks for GTM workflows
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
Flat monthly pricing with no per-record charges or credits
Fair-use limits visible in every API response, not hidden behind a dashboard
Records count only when data is returned, empty searches use no records
First useful result in under five minutes, no lengthy onboarding
Opt-out honored and suppression data managed by the company