Genai-Toolbox

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genai-toolbox, now renamed mcp-toolbox, is an open-source Model Context Protocol (MCP) server that connects AI agents, IDEs, and applications directly to enterprise databases. It offers prebuilt tools for instant data exploration and a framework for building custom, secure AI tools.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is genai-toolbox?

MCP Toolbox for Databases, formerly genai-toolbox, is an open-source Model Context Protocol (MCP) server designed to bridge AI agents, IDEs, and applications with enterprise databases. It provides ready-to-use MCP server capabilities, allowing clients like Gemini CLI, Google Antigravity, Claude Code, or Codex to connect to databases for data exploration, schema analysis, and code generation without boilerplate. Additionally, it offers a robust framework for building specialized, highly secure AI tools for production agents, enabling structured queries, semantic search, and NL2SQL capabilities. The toolbox supports a wide range of databases, including Google Cloud services and other popular options like PostgreSQL, MySQL, and MongoDB, and integrates with various development kits and frameworks.

Best used for

Ideal for developers and data scientists who need to connect AI agents to enterprise databases, automate data exploration, and generate database-aware code. Especially valuable for building secure, production-ready AI tools with custom logic and integrating them into existing development workflows.

Common actions

integrate AI with databases

automate database tasks

build custom AI agents

explore database schemas

generate database code

deepfakecollaborationworkflowslow-code/no-codeautomated workflowface swapping"AI Agents"github copilotopen-source

Capabilities

Key features

Connect AI agents to databases
Prebuilt generic database tools
Custom AI tools framework
Integrated authentication (IAM)
End-to-end observability (OpenTelemetry)
Structured queries
Semantic search

Target Audience

developerdata scientiststartup founderproduct manager

Integrations

gemini-cligoogle-antigravityclaude-codecodexlangchainllama-indexdockerhomebrew

Pricing & Plans

Open Source

Free

FAQs

What is the Model Context Protocol (MCP) that mcp-toolbox uses?

The Model Context Protocol (MCP) is a standard that allows AI agents, IDEs, and applications to interact directly with databases. mcp-toolbox acts as an MCP server, enabling these clients to perform tasks like data exploration, schema discovery, and code generation through a standardized interface.

Which databases are supported by mcp-toolbox's prebuilt tools?

mcp-toolbox supports a wide array of databases, including Google Cloud services like AlloyDB, BigQuery, Cloud SQL, Spanner, and Firestore. It also supports other popular databases such as PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Redis, Elasticsearch, and Snowflake, among many others.

Can I build my own custom AI tools using mcp-toolbox?

Yes, mcp-toolbox provides a robust framework for building custom AI tools. You can define structured queries, semantic search capabilities, and NL2SQL functionalities through configuration files like tools.yaml, ensuring highly secure and specialized interactions for your production AI agents.

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