![logo](https://raw.githubusercontent.com/googleapis/genai-toolbox/refs/heads/main/logo.png) # MCP Toolbox for Databases [![Discord](https://img.shields.io/badge/Discord-%235865F2.svg?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/Dmm69peqjh) [![Go Report Card](https://goreportcard.com/badge/github.com/googleapis/genai-toolbox)](https://goreportcard.com/report/github.com/googleapis/genai-toolbox) > [!NOTE] > MCP Toolbox for Databases is currently in beta, and may see breaking > changes until the first stable release (v1.0). MCP Toolbox for Databases is an open source 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. This README provides a brief overview. For comprehensive details, see the [full documentation](https://googleapis.github.io/genai-toolbox/). > [!NOTE] > This solution was originally named “Gen AI Toolbox for Databases” as > its initial development predated MCP, but was renamed to align with recently > added MCP compatibility. ## Table of Contents - [Why Toolbox?](#why-toolbox) - [General Architecture](#general-architecture) - [Getting Started](#getting-started) - [Installing the server](#installing-the-server) - [Running the server](#running-the-server) - [Integrating your application](#integrating-your-application) - [Configuration](#configuration) - [Sources](#sources) - [Tools](#tools) - [Toolsets](#toolsets) - [Versioning](#versioning) - [Contributing](#contributing) - [Community](#community) ## Why Toolbox? Toolbox helps you build Gen AI tools that let your agents access data in your database. Toolbox provides: - **Simplified development**: Integrate tools to your agent in less than 10 lines of code, reuse tools between multiple agents or frameworks, and deploy new versions of tools more easily. - **Better performance**: Best practices such as connection pooling, authentication, and more. - **Enhanced security**: Integrated auth for more secure access to your data - **End-to-end observability**: Out of the box metrics and tracing with built-in support for OpenTelemetry. **⚡ Supercharge Your Workflow with an AI Database Assistant ⚡** Stop context-switching and let your AI assistant become a true co-developer. By [connecting your IDE to your databases with MCP Toolbox][connect-ide], you can delegate complex and time-consuming database tasks, allowing you to build faster and focus on what matters. This isn't just about code completion; it's about giving your AI the context it needs to handle the entire development lifecycle. Here’s how it will save you time: - **Query in Plain English**: Interact with your data using natural language right from your IDE. Ask complex questions like, *"How many orders were delivered in 2024, and what items were in them?"* without writing any SQL. - **Automate Database Management**: Simply describe your data needs, and let the AI assistant manage your database for you. It can handle generating queries, creating tables, adding indexes, and more. - **Generate Context-Aware Code**: Empower your AI assistant to generate application code and tests with a deep understanding of your real-time database schema. This accelerates the development cycle by ensuring the generated code is directly usable. - **Slash Development Overhead**: Radically reduce the time spent on manual setup and boilerplate. MCP Toolbox helps streamline lengthy database configurations, repetitive code, and error-prone schema migrations. Learn [how to connect your AI tools (IDEs) to Toolbox using MCP][connect-ide]. [connect-ide]: https://googleapis.github.io/genai-toolbox/how-to/connect-ide/ ## General Architecture Toolbox sits between your application's orchestration framework and your database, providing a control plane that is used to modify, distribute, or invoke tools. It simplifies the management of your tools by providing you with a centralized location to store and update tools, allowing you to share tools between agents and applications and update those tools without necessarily redeploying your application. ![architecture](https://raw.githubusercontent.com/googleapis/genai-toolbox/refs/heads/main/docs/en/getting-started/introduction/architecture.png) ## Getting Started ### Installing the server For the latest version, check the [releases page][releases] and use the following instructions for your OS and CPU architecture. [releases]: https://github.com/googleapis/genai-toolbox/releases

Binary

To install Toolbox as a binary: ```sh # see releases page for other versions export VERSION=0.9.0 curl -O https://storage.googleapis.com/genai-toolbox/v$VERSION/linux/amd64/toolbox chmod +x toolbox ```

Container image

You can also install Toolbox as a container: ```sh # see releases page for other versions export VERSION=0.9.0 docker pull us-central1-docker.pkg.dev/database-toolbox/toolbox/toolbox:$VERSION ```

Compile from source

To install from source, ensure you have the latest version of [Go installed](https://go.dev/doc/install), and then run the following command: ```sh go install github.com/googleapis/genai-toolbox@v0.9.0 ```

### Running the server [Configure](#configuration) a `tools.yaml` to define your tools, and then execute `toolbox` to start the server: ```sh ./toolbox --tools-file "tools.yaml" ``` > [!NOTE] > Toolbox enables dynamic reloading by default. To disable, use the `--disable-reload` flag. You can use `toolbox help` for a full list of flags! To stop the server, send a terminate signal (`ctrl+c` on most platforms). For more detailed documentation on deploying to different environments, check out the resources in the [How-to section](https://googleapis.github.io/genai-toolbox/how-to/) ### Integrating your application Once your server is up and running, you can load the tools into your application. See below the list of Client SDKs for using various frameworks:

Python (Github)

Core
1. Install [Toolbox Core SDK][toolbox-core]: ```bash pip install toolbox-core ``` 1. Load tools: ```python 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") ``` For more detailed instructions on using the Toolbox Core SDK, see the [project's README][toolbox-core-readme]. [toolbox-core]: https://pypi.org/project/toolbox-core/ [toolbox-core-readme]: https://github.com/googleapis/mcp-toolbox-sdk-python/tree/main/packages/toolbox-core/README.md

LangChain / LangGraph
1. Install [Toolbox LangChain SDK][toolbox-langchain]: ```bash pip install toolbox-langchain ``` 1. Load tools: ```python from toolbox_langchain 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 = client.load_toolset() ``` For more detailed instructions on using the Toolbox LangChain SDK, see the [project's README][toolbox-langchain-readme]. [toolbox-langchain]: https://pypi.org/project/toolbox-langchain/ [toolbox-langchain-readme]: https://github.com/googleapis/mcp-toolbox-sdk-python/blob/main/packages/toolbox-langchain/README.md

LlamaIndex
1. Install [Toolbox Llamaindex SDK][toolbox-llamaindex]: ```bash pip install toolbox-llamaindex ``` 1. Load tools: ```python from toolbox_llamaindex 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 = client.load_toolset() ``` For more detailed instructions on using the Toolbox Llamaindex SDK, see the [project's README][toolbox-llamaindex-readme]. [toolbox-llamaindex]: https://pypi.org/project/toolbox-llamaindex/ [toolbox-llamaindex-readme]: https://github.com/googleapis/genai-toolbox-llamaindex-python/blob/main/README.md

Javascript/Typescript (Github)

Core
1. Install [Toolbox Core SDK][toolbox-core-js]: ```bash npm install @toolbox-sdk/core ``` 1. Load tools: ```javascript 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'); ``` For more detailed instructions on using the Toolbox Core SDK, see the [project's README][toolbox-core-js-readme]. [toolbox-core-js]: https://www.npmjs.com/package/@toolbox-sdk/core [toolbox-core-js-readme]: https://github.com/googleapis/mcp-toolbox-sdk-js/blob/main/packages/toolbox-core/README.md

LangChain / LangGraph
1. Install [Toolbox Core SDK][toolbox-core-js]: ```bash npm install @toolbox-sdk/core ``` 2. Load tools: ```javascript 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 toolboxTools = await client.loadToolset('toolsetName'); // Define the basics of the tool: name, description, schema and core logic const getTool = (toolboxTool) => tool(currTool, { name: toolboxTool.getName(), description: toolboxTool.getDescription(), schema: toolboxTool.getParamSchema() }); // Use these tools in your Langchain/Langraph applications const tools = toolboxTools.map(getTool); ```

Genkit
1. Install [Toolbox Core SDK][toolbox-core-js]: ```bash npm install @toolbox-sdk/core ``` 2. Load tools: ```javascript import { ToolboxClient } from '@toolbox-sdk/core'; import { genkit } from 'genkit'; // Initialise genkit const ai = genkit({ plugins: [ googleAI({ apiKey: process.env.GEMINI_API_KEY || process.env.GOOGLE_API_KEY }) ], model: googleAI.model('gemini-2.0-flash'), }); // 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 toolboxTools = await client.loadToolset('toolsetName'); // Define the basics of the tool: name, description, schema and core logic const getTool = (toolboxTool) => ai.defineTool({ name: toolboxTool.getName(), description: toolboxTool.getDescription(), schema: toolboxTool.getParamSchema() }, toolboxTool) // Use these tools in your Genkit applications const tools = toolboxTools.map(getTool); ```

Go (Github)

Core
1. Install [Toolbox Go SDK][toolbox-go]: ```bash go get github.com/googleapis/mcp-toolbox-sdk-go ``` 1. Load tools: ```go package main import ( "github.com/googleapis/mcp-toolbox-sdk-go/core" "context" ) func main() { // Make sure to add the error checks // 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) } ``` For more detailed instructions on using the Toolbox Go SDK, see the [project's README][toolbox-core-go-readme]. [toolbox-go]: https://pkg.go.dev/github.com/googleapis/mcp-toolbox-sdk-go/core [toolbox-core-go-readme]: https://github.com/googleapis/mcp-toolbox-sdk-go/blob/main/core/README.md

LangChain Go
1. Install [Toolbox Go SDK][toolbox-go]: ```bash go get github.com/googleapis/mcp-toolbox-sdk-go ``` 2. Load tools: ```go package main import ( "context" "encoding/json" "github.com/googleapis/mcp-toolbox-sdk-go/core" "github.com/tmc/langchaingo/llms" ) func main() { // Make sure to add the error checks // 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 tool tool, err := client.LoadTool("toolName", ctx) // Fetch the tool's input schema inputschema, err := tool.InputSchema() var paramsSchema map[string]any _ = json.Unmarshal(inputschema, ¶msSchema) // Use this tool with LangChainGo langChainTool := llms.Tool{ Type: "function", Function: &llms.FunctionDefinition{ Name: tool.Name(), Description: tool.Description(), Parameters: paramsSchema, }, } } ```

Genkit
1. Install [Toolbox Go SDK][toolbox-go]: ```bash go get github.com/googleapis/mcp-toolbox-sdk-go ``` 2. Load tools: ```go package main import ( "context" "encoding/json" "github.com/firebase/genkit/go/ai" "github.com/firebase/genkit/go/genkit" "github.com/googleapis/mcp-toolbox-sdk-go/core" "github.com/invopop/jsonschema" ) func main() { // Make sure to add the error checks // Update the url to point to your server URL := "http://127.0.0.1:5000" ctx := context.Background() g, err := genkit.Init(ctx) client, err := core.NewToolboxClient(URL) // Framework agnostic tool tool, err := client.LoadTool("toolName", ctx) // Fetch the tool's input schema inputschema, err := tool.InputSchema() var schema *jsonschema.Schema _ = json.Unmarshal(inputschema, &schema) executeFn := func(ctx *ai.ToolContext, input any) (string, error) { result, err := tool.Invoke(ctx, input.(map[string]any)) if err != nil { // Propagate errors from the tool invocation. return "", err } return result.(string), nil } // Use this tool with Genkit Go genkitTool := genkit.DefineToolWithInputSchema( g, tool.Name(), tool.Description(), schema, executeFn, ) } ```

Go GenAI
1. Install [Toolbox Go SDK][toolbox-go]: ```bash go get github.com/googleapis/mcp-toolbox-sdk-go ``` 2. Load tools: ```go package main import ( "context" "encoding/json" "github.com/googleapis/mcp-toolbox-sdk-go/core" "google.golang.org/genai" ) func main() { // Make sure to add the error checks // 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 tool tool, err := client.LoadTool("toolName", ctx) // Fetch the tool's input schema inputschema, err := tool.InputSchema() var schema *genai.Schema _ = json.Unmarshal(inputschema, &schema) funcDeclaration := &genai.FunctionDeclaration{ Name: tool.Name(), Description: tool.Description(), Parameters: schema, } // Use this tool with Go GenAI genAITool := &genai.Tool{ FunctionDeclarations: []*genai.FunctionDeclaration{funcDeclaration}, } } ```

OpenAI Go
1. Install [Toolbox Go SDK][toolbox-go]: ```bash go get github.com/googleapis/mcp-toolbox-sdk-go ``` 2. Load tools: ```go package main import ( "context" "encoding/json" "github.com/googleapis/mcp-toolbox-sdk-go/core" openai "github.com/openai/openai-go" ) func main() { // Make sure to add the error checks // 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 tool tool, err := client.LoadTool("toolName", ctx) // Fetch the tool's input schema inputschema, err := tool.InputSchema() var paramsSchema openai.FunctionParameters _ = json.Unmarshal(inputschema, ¶msSchema) // Use this tool with OpenAI Go openAITool := openai.ChatCompletionToolParam{ Function: openai.FunctionDefinitionParam{ Name: tool.Name(), Description: openai.String(tool.Description()), Parameters: paramsSchema, }, } } ```

## Configuration The primary way to configure Toolbox is through the `tools.yaml` file. If you have multiple files, you can tell toolbox which to load with the `--tools-file tools.yaml` flag. You can find more detailed reference documentation to all resource types in the [Resources](https://googleapis.github.io/genai-toolbox/resources/). ### Sources The `sources` section of your `tools.yaml` defines what data sources your Toolbox should have access to. Most tools will have at least one source to execute against. ```yaml sources: my-pg-source: kind: postgres host: 127.0.0.1 port: 5432 database: toolbox_db user: toolbox_user password: my-password ``` For more details on configuring different types of sources, see the [Sources](https://googleapis.github.io/genai-toolbox/resources/sources). ### Tools The `tools` section of a `tools.yaml` define the actions an agent can take: what kind of tool it is, which source(s) it affects, what parameters it uses, etc. ```yaml 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 || '%'; ``` For more details on configuring different types of tools, see the [Tools](https://googleapis.github.io/genai-toolbox/resources/tools). ### Toolsets The `toolsets` section of your `tools.yaml` allows you to define groups of tools that you want to be able to load together. This can be useful for defining different groups based on agent or application. ```yaml toolsets: my_first_toolset: - my_first_tool - my_second_tool my_second_toolset: - my_second_tool - my_third_tool ``` You can load toolsets by name: ```python # This will load all tools all_tools = client.load_toolset() # This will only load the tools listed in 'my_second_toolset' my_second_toolset = client.load_toolset("my_second_toolset") ``` ## Versioning This project uses [semantic versioning](https://semver.org/), including a `MAJOR.MINOR.PATCH` version number that increments with: - MAJOR version when we make incompatible API changes - MINOR version when we add functionality in a backward compatible manner - PATCH version when we make backward compatible bug fixes The public API that this applies to is the CLI associated with Toolbox, the interactions with official SDKs, and the definitions in the `tools.yaml` file. ## Contributing Contributions are welcome. Please, see the [CONTRIBUTING](CONTRIBUTING.md) to get started. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms. See [Contributor Code of Conduct](CODE_OF_CONDUCT.md) for more information. ## Community Join our [discord community](https://discord.gg/GQrFB3Ec3W) to connect with our developers!