It’s graduation day for the Firebase MCP Server

Firebase’s Model Context Protocol server, which enables AI coding agents to understand and manage Firebase projects through natural-language requests, has graduated from its experimental phase after additions such as Gemini-powered tools, broader support for products including Cloud Functions and Crashlytics, streamlined security-rule validation, and deployment prompts. Firebase also introduced an official extension for the Gemini CLI, now transitioned to Antigravity CLI, combining the MCP server with contextual instructions to support project setup, database and authentication configuration, Gemini API integration, deployment, and documentation-based assistance through commands such as `/firebase:init`, `/firebase:deploy`, and `/firebase:consult`. The extension is intended to reduce friction in terminal-based Firebase development by helping agents manage multi-step, approval-dependent tasks such as creating resources, configuring services, deploying applications, and cleanup, while Firebase invites users to provide feedback through its GitHub repository.

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