Accelerate debugging with Crashlytics MCP Tools

Firebase introduces Crashlytics Model Context Protocol tools that connect crash-reporting data with AI development environments such as Gemini CLI, Claude Code, and Cursor to support conversational mobile-app debugging. Crashlytics collects crash, ANR, and non-fatal error information for Android, iOS, Unity, and Flutter apps, while the MCP integration lets AI tools access this data alongside a developer’s codebase to prioritize issues, investigate stack traces and sample events, identify likely root causes, and propose or implement fixes. Using Gemini CLI requires an app with Crashlytics issues, codebase access, Node.js and npm, installation of the Gemini CLI and Firebase extension, and the `/crashlytics:connect` command to initiate a guided workflow. Developers can query filtered crash trends, such as tablet-specific issues over a selected period, ask follow-up questions about affected devices, and have Gemini analyze relevant code paths to produce detailed diagnostic reports. The approach is intended to reduce manual investigation and context switching between the Firebase console and source code while accelerating debugging and improving the end-user experience.

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