New MCP integrations to Google Cloud Databases | Google Cloud Blog
Last month at Google Cloud Next ‘25, we introduced MCP Toolbox for Databases to facilitate connecting generative AI agents to databases and streamlining core enterprise workflows. MCP Toolbox for Databases, an open-source Model Context Protocol (MCP) server, enables developers to seamlessly link gen AI agents to enterprise data. It supports a variety of databases including BigQuery, AlloyDB, Cloud SQL for MySQL, Cloud SQL for PostgreSQL, Cloud SQL for SQL Server, Spanner, self-managed open-source databases like PostgreSQL, MySQL, SQLLite, and databases from other expanding vendors such as Neo4j and Dgraph.
Empowering AI-assisted Development
Last month at Google Cloud Next ‘25, we introduced MCP Toolbox for Databases to facilitate connecting generative AI agents to databases and streamlining core enterprise workflows. MCP Toolbox for Databases, an open-source Model Context Protocol (MCP) server, enables developers to seamlessly link gen AI agents to enterprise data.
Streamlining Development Processes
As developers engage in AI-assisted activities like code generation, code refactoring, and automated testing using AI-native IDEs such as Claude Code, Cursor, Windsurf, or established IDEs like VSCode, efficient data connectivity is crucial. Toolbox's pre-built tools now facilitate seamless integration with Cloud SQL, AlloyDB, Spanner, BigQuery, and self-managed PostgreSQL databases directly within your preferred IDE.
Accelerating Workflows with AI
Consider Sara, a developer tasked with integrating vendor management features into an e-commerce application. Using Cline, an AI assistant integrated with VS Code, Sara swiftly sets up Toolbox and connects it to Cline and the database.
Previously, tasks like creating new tables and altering schemas required manual updates and intricate SQL queries. With Toolbox and AI assistants, Sara effortlessly instructs Cline to make database changes and execute tasks seamlessly. Tasks that previously took days to implement are now completed within minutes, demonstrating the efficiency of AI-assisted workflows.
Enhancing Database Development Lifecycle
The expanded capabilities within MCP Toolbox underline our commitment to providing intuitive tools that accelerate the database development lifecycle and enhance AI-assisted workflows. Learn more about Toolbox, integrate it with your preferred AI-assisted coding platform, and embrace the future of AI-accelerated, database-connected software development today.
Explore more: Docs: Connecting your IDE to Toolbox | Quick Start Guide: Using Toolbox with MCP
