An MCP server and custom tools framework that connects AI agents, IDEs, and applications to enterprise databases. It supplies prebuilt database tools, connection pooling, integrated auth, and observability for production agents.
Project overview
Serves a dual purpose as a ready-to-use MCP server providing out-of-the-box database access and a framework for building secure, custom AI tools.
Project type
MCP
Deployment
Refer to project documentation
License
Apache-2.0
Best for
Developers and AI engineers who need out-of-the-box database access and schema discovery directly from their IDE or CLI.
Enterprise teams that need a framework to build secure, custom AI tools with IAM authentication, connection pooling, and OpenTelemetry observability for production agents.
Key capabilities
Provides out-of-the-box generic tools, including list_tables and execute_sql, for instant data exploration directly from an IDE or CLI.
Enables building production-ready tools with predefined logic, ensuring safety through restricted access, structured queries, and semantic search using a YAML configuration.
Provides out-of-the-box metrics and tracing with built-in support for OpenTelemetry.
Handles integrated auth (IAM) for secure access to data.
Provides an interactive UI to test tools and toolsets with features such as authorized parameters.
Converts a toolset into an Agent Skill compatible with the Agent Skill specification.
Dynamically reloads configuration by default without requiring a restart.
Limitations and risks
The npx installation method is optimized for convenience rather than performance.
If telemetry is enabled, it requires an external OTLP-compatible backend, such as Google Cloud Monitoring or Agnost AI.
Getting started
Setup is rated easy. Users can get started with one-click prebuilt tools via npx, download pre-built binaries for major platforms, or use a Homebrew package. The first success path is to download a binary or use npx, and then run ./toolbox --config tools.yaml.