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No-code tool that converts existing REST APIs into MCP servers so AI agents can call them as tools.
AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.
No-code AI platform that builds full-stack apps, websites and agents from plain-language prompts with hosting built in.
Open-source React component library for quickly building custom chat interfaces on top of any LLM backend.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
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- ✦Instant REST-to-MCP conversion with no code changes
- ✦Tool call tracing and usage logs
- ✦MCP prompts and resources configuration dashboard
- ✦Public MCP marketplace for publishing servers
- ✦GraphQL and gRPC protocol support
- ✦Self-hosted deployment option for enterprises
- ✦Chat-to-app and website generation
- ✦Real-time prototype building
- ✦One-click deploy and hosting
- ✦Templates to start projects
- ✦Credit-based building with shared workspaces
- ✦You own your code and data
- ✦Prompt-to-app full-stack generation
- ✦Built-in backend, database and auth
- ✦One-click integrations (Slack, Notion, HubSpot, etc.)
- ✦Instant hosting and custom domains
- ✦Superagents for automated workflows
- ✦GitHub sync and code export
- ✦Prebuilt customizable chat UI components for React
- ✦Support for file uploads, embeds, and markdown rendering
- ✦Theming and styling customization options
- ✦Support for switching between multiple AI models in one interface
- ✦Backend- and LLM-agnostic architecture
- ✦Installable via npm as an open-source package
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- →A developer exposing an internal REST API to AI agents without rewriting it
- →A company publishing a public MCP server for customers to connect their AI tools
- →A team auditing how AI agents are calling their API endpoints
- →An enterprise self-hosting MCP infrastructure for compliance reasons
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools
- →Building internal tools and dashboards
- →Launching websites and landing pages
- →Creating customer portals and CRMs
- →Deploying AI agents that automate tasks
- →Adding a chat interface to a React app without building components from scratch
- →Prototyping LLM-powered chat products quickly
- →Building multi-model chat tools that let users switch AI providers
- →Embedding conversational AI UI into existing enterprise products
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development