Overview
Open source MCP Toolbox for Databases is an MCP server for databases. It enables you to develop tools easier, faster, and more securely by handling the complexities such as connection pooling, authentication, and more. Toolbox sits between your application's orchestration framework and your database, providing a control plane used to modify, distribute, or invoke tools. It simplifies the management of your tools by providing a centralized location to store and update tools, allowing you to share tools between agents and applications and update those tools without redeploying your application. This project is in beta and may see breaking changes until the first stable release (v1.0). The solution originated as Gen AI Toolbox for Databases and was renamed to align with MCP compatibility. Toolbox emphasizes faster development, better performance, enhanced security, and observability with OpenTelemetry. It supports dynamic reloading by default, and provides multiple installation and running options (binary, container image, Homebrew, compiling from source). Comprehensive docs and SDK examples cover multi-language clients and integration with Gemini CLI Extensions.
Features
Simplified tool development
Integrate tools into your agent in under 10 lines of code, reuse tools across agents and frameworks, and deploy new tool versions quickly.
Centralized tool management
Centralized storage and update of tools, enabling sharing between agents and applications and updates without redeploying.
Better performance
Performance improvements through practices like connection pooling and built-in authentication.
Enhanced security
Integrated authentication for secure access to data sources.
End-to-end observability
Out-of-the-box metrics and tracing with OpenTelemetry.
Dynamic tool reloading
Dynamic reloading is enabled by default; you can disable it with the --disable-reload flag.
Multi-language SDK support
SDKs and examples across Python, JavaScript/TypeScript, Go, and more to integrate Toolbox with your language of choice.
Who Is This For?
- Developers:Build, load, and deploy database tools for AI agents with minimal code.
- Data engineers:Configure data sources and toolsets to expose database operations to AI tools.
- DevOps teams:Manage tool lifecycle, updates, and dynamic reloading across environments in production.
- LLM integrators:Integrate Toolbox with Gemini CLI Extensions and multi-language SDKs to connect to your MCP server.
