MCP Toolbox for Databases is an open source MCP server for databases. It was designed with enterprise-grade and production-quality in mind. It enables you to develop tools easier, faster, and more securely by handling the complexities such as connection pooling, authentication, and more. Toolbox Tools can be seemlessly integrated with LangChain applications. For more information on getting started or configuring Toolbox, see the documentation.

​
Configure and deploy

Toolbox is an open source server that you deploy and manage yourself. For more instructions on deploying and configuring, see the official Toolbox documentation:

​
Install client SDK

LangChain relies on the @toolbox-sdk/core node package to use Toolbox. Install the package before getting started: 
npm install @toolbox-sdk/core

​
Loading Toolbox Tools

Once your Toolbox server is configured and up and running, you can load tools from your server using the SDK: 
import { ChatVertexAI } from "@langchain/google-vertexai"
import { ToolboxClient } from "@toolbox-sdk/core";
import { tool } from "@langchain/core/tools";
import { createAgent } from "langchain";

const model = new ChatVertexAI({
  model: "gemini-2.0-flash",
  temperature: 0,
  maxRetries: 2,
});

// Replace with your Toolbox Server URL
const URL = 'http://127.0.0.1:5000';

let client = ToolboxClient(URL);
toolboxTools = await client.loadToolset('toolsetName');

const getTool = (toolboxTool) => tool(toolboxTool, {
    name: toolboxTool.getName(),
    description: toolboxTool.getDescription(),
    schema: toolboxTool.getParamSchema()
});
const tools = toolboxTools.map(getTool);

const agent = createAgent({ llm: model, tools });
let inputs = { messages: [{ role: "user", content: Some query" }] };
let response = await agent.invoke(inputs);
console.log(response);

​
Advanced Toolbox Features

Toolbox has a variety of features to make developing Gen AI tools for databases seamless. For more information, read more about the following: