This open source MCP server for databases allows you to efficiently develop AI tools that can access your data by handling complex aspects like connection pooling, authentication, and more.
Choose the appropriate method for your operating system:
Linux (AMD64)
export VERSION=0.20.0
curl -L -o toolbox https://storage.googleapis.com/genai-toolbox/v$VERSION/linux/amd64/toolbox
chmod +x toolbox
macOS (Apple Silicon)
export VERSION=0.20.0
curl -L -o toolbox https://storage.googleapis.com/genai-toolbox/v$VERSION/darwin/arm64/toolbox
chmod +x toolbox
macOS (Intel)
export VERSION=0.20.0
curl -L -o toolbox https://storage.googleapis.com/genai-toolbox/v$VERSION/darwin/amd64/toolbox
chmod +x toolbox
Using Homebrew
brew install mcp-toolbox
tools.yaml configuration file./toolbox --tools-file "tools.yaml"
To stop the server, press ctrl+c.
The primary configuration is done through the tools.yaml file, which defines your data sources, tools, and toolsets.
Define your data sources:
sources:
my-pg-source:
kind: postgres
host: 127.0.0.1
port: 5432
database: toolbox_db
user: toolbox_user
password: my-password
Define the actions an agent can take:
tools:
search-hotels-by-name:
kind: postgres-sql
source: my-pg-source
description: Search for hotels based on name.
parameters:
- name: name
type: string
description: The name of the hotel.
statement: SELECT * FROM hotels WHERE name ILIKE '%' || $1 || '%';
Group tools that you want to load together:
toolsets:
my_first_toolset:
- my_first_tool
- my_second_tool
my_second_toolset:
- my_second_tool
- my_third_tool
Core SDK
pip install toolbox-core
from toolbox_core import ToolboxClient
# update the url to point to your server
async with ToolboxClient("http://127.0.0.1:5000") as client:
# these tools can be passed to your application!
tools = await client.load_toolset("toolset_name")
Core SDK
npm install @toolbox-sdk/core
import { ToolboxClient } from '@toolbox-sdk/core';
// update the url to point to your server
const URL = 'http://127.0.0.1:5000';
let client = new ToolboxClient(URL);
// these tools can be passed to your application!
const tools = await client.loadToolset('toolsetName');
Core SDK
go get github.com/googleapis/mcp-toolbox-sdk-go
package main
import (
"github.com/googleapis/mcp-toolbox-sdk-go/core"
"context"
)
func main() {
// update the url to point to your server
URL := "http://127.0.0.1:5000";
ctx := context.Background()
client, err := core.NewToolboxClient(URL)
// Framework agnostic tools
tools, err := client.LoadToolset("toolsetName", ctx)
}
To install Gemini CLI Extensions for MCP Toolbox:
gemini extensions install https://github.com/gemini-cli-extensions/mcp-toolbox
This allows you to interact with your data sources through natural language directly from the command line.
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "toolbox-for-databases" '{"command":"toolbox","args":["--tools-file","tools.yaml"]}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:
{
"mcpServers": {
"toolbox-for-databases": {
"command": "toolbox",
"args": [
"--tools-file",
"tools.yaml"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json~/.config/Claude/claude_desktop_config.json2. Add this to your configuration file:
{
"mcpServers": {
"toolbox-for-databases": {
"command": "toolbox",
"args": [
"--tools-file",
"tools.yaml"
]
}
}
}
3. Restart Claude Desktop for the changes to take effect