Advancing agentic AI development with Firebase Studio- Google Developers Blog

Introduces three new Agent modes (Ask, Agent, Agent Auto-run) for Gemini within Firebase Studio, enabling conversational, supervised, and autonomous AI assistance for development tasks. Adds foundational support for the Model Context Protocol (MCP), allowing integration of MCP servers for extended workflows, with examples of using it to query Cloud Firestore and retrieve context from libraries like MediaPipe. Integrates Gemini CLI directly into Firebase Studio, providing an AI-powered terminal experience for code generation, debugging, and project management. Mentions project-level rule files (.idx/airules.md, GEMINI.md, .cursorrules) for guiding Gemini's behavior.