Drio - 2026 Pricing, Features, Reviews & Alternatives

Drio is a cloud-based platform that builds and deploys native sales apps inside AI clients such as ChatGPT and Claude, functioning as a conversion layer for AI search. It converts visual app configurations into MCP-compatible (Model Context Protocol) runtime servers that answer buyer questions from approved content, qualify leads, and book meetings without requiring engineering teams to build from scratch. Deployment runs entirely in the browser with no installation required; an enterprise tier extends to on-premises options for teams with stricter internal requirements.

The platform centers on a visual drag-and-drop tool builder with 15 interactive UI primitives including product cards, charts, and forms. A branding panel supports logo upload, auto color extraction, typography, and corner style controls. One-click deploy with hot reload, a schema builder supporting nested objects and arrays, an API proxy with URL template interpolation, and response mapping via JSONPath extraction give operators full control over how apps retrieve and surface live business data. Nine production-ready templates cover e-commerce, marketing dashboards, medical intake, and internal operations use cases. A management API supports automated app creation and publishing at scale.

Drio targets growth, marketing, RevOps, demand generation, product marketing, and founder-led sales teams at brands that already appear in AI-search results for commercial queries. Apps connect to CRM, scheduling, support, and data integrations to answer with live information rather than static model summaries. The MCP compiler converts visual configurations into typesafe, spec-compliant MCP servers at runtime, producing deterministic output compatible with ChatGPT, Claude, Cursor, and other MCP-compatible AI clients. Multi-tenant server architecture, OAuth 2.0 with dynamic client registration and token exchange, and an enterprise tier with SSO, RBAC, and audit trails address security and compliance requirements across team sizes.