Toolbox for Databases
Provides a secure, configurable interface for executing pre-defined queries against multiple database systems including PostgreSQL
Toolbox is an MCP server implementation that enables AI assistants to interact with various database systems including PostgreSQL, MySQL, SQL Server, Neo4j, Dgraph, and Spanner. Developed by Google's SenseAI team, it provides a configurable interface for executing pre-defined queries against databases through a YAML-based configuration system. The implementation features telemetry integration, authentication services, and support for both HTTP and SSE transport protocols. Toolbox is particularly useful for AI applications that need to retrieve or manipulate data from multiple database types without exposing direct database access, making it ideal for creating secure, controlled database interfaces for generative AI applications.
Source
Repository: https://github.com/googleapis/mcp-toolbox
Maintain Toolbox for Databases?
Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.
[](https://getagentictools.com/mcp/googleapis-mcp-toolbox?ref=badge) Related mcp
DBX Query databases from AI agents using connections configured in the DBX database client.
Cipher Memory-powered agent framework that provides persistent memory capabilities across conversations and sessions using vector databas
Supabase Integrates with the Supabase platform for managing databases, projects, migrations, and storage.
Claude Peers Enables Claude Code instances to discover each other and exchange messages in real time via a local broker daemon.
Claude Flow Agent orchestration platform with multi-agent swarms, workflow coordination, and conversational AI systems
Codebase Memory Codebase knowledge graph for AI agents — 159 languages, sub-ms queries, 99% fewer tokens.