September 2025 monthly summary for googleapis/genai-toolbox: Delivered expanded Firestore tooling, introduced new database- and query-capable tools, standardized tooling naming, and resolved a critical MongoDB parameter bug. These changes improve reliability, scalability, and developer productivity, delivering concrete business value by enabling safer Firestore automation, richer data tooling, and reduced operational risk.

Monthly summary for 2025-08: Delivered two new Firestore data-management tools in googleapis/genai-toolbox, enabling users to add and update documents in Firestore collections with type-safe JSON and flexible update capabilities. No major bugs fixed this period. This work expands toolbox capabilities, improves data workflows, and delivers concrete business value by reducing manual data handling and enabling richer data operations for GenAI workflows.

July 2025 monthly summary for googleapis/genai-toolbox. Delivered Firestore integration as a new data source with tooling to manage Firestore documents (get, list, delete, query) and security rules handling, enabling seamless inclusion of Firestore data in GenAI workflows. Fixed a configuration gap by enforcing the required database field in firestore.yaml to align with environment variable behavior and ensure the database parameter is provided when using the Firestore prebuilt tool. Published comprehensive documentation for connecting IDEs to Firestore via the Model Context Protocol (MCP) and the genai-toolbox, covering setup, MCP Toolbox installation, IDE/config steps, available MCP tools, and IAM roles for Firestore security rules. Overall impact: broadened data source coverage, improved reliability, and enhanced developer experience through documentation.

May 2025 monthly summary: Delivered Spanner read-only mode for the SQL tool and expanded integration tests to validate read-only access to schema information. Implemented a readOnly configuration flag and wired read-only transactions when enabled. Updated documentation and extended tests to ensure reliability and safety of read-only operations. This reduces production risk and improves developer confidence in the Spanner tool.