After Google announced their support for the Model Context Protocol (MCP), a protocol connecting external data sources to the LLM model developed by Anthropic, it has gained widespread acceptance in the industry.
Recently, Google has swiftly released assets related to MCP, specifically the MCP Toolbox for Databases, also known simply as Toolbox. This serves as a server for MCP that bridges the gap between LLM models and various types of databases, including traditional on-premise databases like MySQL, PostgreSQL, Neo4j, Dgraph, and cloud-based databases such as Cloud SQL, Spanner, and AlloyDB.
In addition to its core functionality, Toolbox offers supplementary tools such as identity verification systems through OAuth2 and OIDC, integration with OpenTelemetry for monitoring data, serving as a foundational scaffolding for building applications connecting databases to LLM without the need to hand-code everything. Furthermore, it seamlessly integrates with the Agent Development Kit (ADK), Google’s framework for developing AI Agents.
TLDR: Google introduces MCP Toolbox for Databases as a crucial bridging tool between LLM models and various databases, simplifying application development and integration with Google’s ADK for AI Agent development.
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