
At Google Cloud Next 25, we announced incredible ways for enterprises to build multi-agent ecosystems with Vertex AI and Google Cloud Databases – including better ways for agents to communicate with each other using Agent2Agent Protocol and Model Context Protocol (MCP). With the growing excitement around MCP for developers, we’re making it easy for MCP Toolbox for Databases (formerly Gen AI Toolbox for Databases) to access your enterprise data in databases. This is another step forward in providing secure and standardized ways to innovate with agentic applications. Let’s take a look.
MCP Toolbox for Databases (formerly Gen AI Toolbox for Databases)
MCP Toolbox for Databases (Toolbox) is an open-source MCP (Model Context Protocol) server that allows developers to connect gen AI agents to enterprise data easily and securely. MCP is an emerging open standard created by Anthropic for connecting AI systems with data sources through a standardized protocol, replacing fragmented integrations that require custom integrations.
Currently, Toolbox can be used to build tools for a large number of databases: AlloyDB for PostgreSQL (including AlloyDB Omni), Spanner, Cloud SQL for PostgreSQL, Cloud SQL for MySQL, Cloud SQL for SQL Server, and self-managed MySQL and PostgreSQL. Because it’s fully open-source, it includes contributions from third-party databases such as Neo4j and Dgraph. Toolbox offers simplified development with reduced boilerplate code, enhanced security through OAuth2 and OIDC, and end-to-end observability with OpenTelemetry integration. This enables you to develop tools easier, faster, and more securely by handling the complexities such as connection pooling, authentication, and more.
As an MCP server, Toolbox provides the additional scaffolding for implementing production-quality database tools and making them accessible to any client in the growing MCP ecosystem. This compatibility allows developers building agentic applications to leverage Toolbox and securely query a wide range of databases through a single, standardized protocol, simplifying development and enhancing interoperability.
Source Credit: https://cloud.google.com/blog/products/ai-machine-learning/mcp-toolbox-for-databases-now-supports-model-context-protocol/