Your AI coding assistant needs two things: visibility and context. Raindrop delivers both.
Our AI-native framework provides complete observability, while MCP manages the contextual knowledge your coding assistant needs to build and ship products that actually work.
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Raindrop supports Claude Code and Gemini CLI
Complete visibility and control for your AI CLI. Built-in versioning, branching, and comprehensive logging at every level—your CLI finally has the eyes and ears it needs.
Every compute and data stack is fully versioned. Your AI CLI can experiment, rollback, and deploy with confidence.
Every data interaction, AI call, and system event is logged. Your AI CLI has complete visibility into what's happening and why.
Your AI CLI can leave breadcrumbs for itself everywhere. Annotate databases, services, components—anything in the platform to build persistent context.
Raindrop MCP turns development chaos into controlled workflow. Guides your AI CLI step-by-step through requirements, testing, coding, and deployment. From requirements to production in one controlled flow.
Stop your AI CLI from reinventing the wheel on every project—use battle-tested building blocks that let you build complex apps without getting lost in system design.
Persistent context across conversations
Perfect for chatbots, AI assistants, customer support
RAG-infused object storage
Ideal for document search, knowledge bases, support bots
Natural language databases
Great for analytics dashboards, business intelligence apps
Auto-scaling without configuration
Services, Observers, and Actors that scale from 0 to millions
Regular storage solutions to support all your needs
Object Storage, SQL, Cache, VectorDB
Unified interface for many different AI models
Text generation, image processing, speech recognition, and translation
Our mission is backed by premier venture capital firms known for funding transformative technology companies
Connect Raindrop MCP to Claude Code or Gemini CLI and watch your idea come to life.