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# MCP Toolbox SDKs for Python
[](https://opensource.org/licenses/Apache-2.0)
[](https://pypi.org/project/toolbox-core/)
This repository contains Python SDKs designed to seamlessly integrate the
functionalities of the [MCP
Toolbox](https://github.com/googleapis/genai-toolbox) into your Gen AI
applications. These SDKs allow you to load tools defined in Toolbox and use them
as standard Python functions or objects within popular orchestration frameworks
or your custom code.
This simplifies the process of incorporating external functionalities (like
Databases or APIs) managed by Toolbox into your GenAI applications.
<!-- TOC -->
- [Overview](#overview)
- [Which Package Should I Use?](#which-package-should-i-use)
- [Available Packages](#available-packages)
- [Getting Started](#getting-started)
- [Contributing](#contributing)
- [License](#license)
- [Support](#support)
<!-- /TOC -->
## Overview
The MCP Toolbox service provides a centralized way to manage and expose tools
(like API connectors, database query tools, etc.) for use by GenAI applications.
These Python SDKs act as clients for that service. They handle the communication needed to:
* Fetch tool definitions from your running Toolbox instance.
* Provide convenient Python objects or functions representing those tools.
* Invoke the tools (calling the underlying APIs/services configured in Toolbox).
* Handle authentication and parameter binding as needed.
By using these SDKs, you can easily leverage your Toolbox-managed tools directly
within your Python applications or AI orchestration frameworks.
## Which Package Should I Use?
Choosing the right package depends on how you are building your application:
* [`toolbox-langchain`](https://github.com/googleapis/mcp-toolbox-sdk-python/tree/main/packages/toolbox-langchain):
Use this package if you are building your application using the LangChain or
LangGraph frameworks. It provides tools that are directly compatible with the
LangChain ecosystem (`BaseTool` interface), simplifying integration.
* [`toolbox-llamaindex`](https://github.com/googleapis/mcp-toolbox-sdk-python/tree/main/packages/toolbox-llamaindex):
Use this package if you are building your application using the LlamaIndex framework.
It provides tools that are directly compatible with the
LlamaIndex ecosystem (`BaseTool` interface), simplifying integration.
* [`toolbox-core`](https://github.com/googleapis/mcp-toolbox-sdk-python/tree/main/packages/toolbox-core):
Use this package if you are not using LangChain/LangGraph or any other
orchestration framework, or if you need a framework-agnostic way to interact
with Toolbox tools (e.g., for custom orchestration logic or direct use in
Python scripts).
## Available Packages
This repository hosts the following Python packages. See the package-specific
README for detailed installation and usage instructions:
| Package | Target Use Case | Integration | Path | Details (README) | PyPI Status |
| :------ | :---------- | :---------- | :---------------------- | :---------- | :---------
| `toolbox-core` | Framework-agnostic / Custom applications | Use directly / Custom | `packages/toolbox-core/` | 📄 [View README](https://github.com/googleapis/mcp-toolbox-sdk-python/blob/main/packages/toolbox-core/README.md) |  |
| `toolbox-langchain` | LangChain / LangGraph applications | LangChain / LangGraph | `packages/toolbox-langchain/` | 📄 [View README](https://github.com/googleapis/mcp-toolbox-sdk-python/blob/main/packages/toolbox-langchain/README.md) |  |
| `toolbox-llamaindex` | LlamaIndex applications | LlamaIndex | `packages/toolbox-llamaindex/` | 📄 [View README](https://github.com/googleapis/mcp-toolbox-sdk-python/blob/main/packages/toolbox-llamaindex/README.md) |  |
## Getting Started
To get started using Toolbox tools with an application, follow these general steps:
1. **Set up and Run the Toolbox Service:**
Before using the SDKs, you need the main MCP Toolbox service running. Follow
the instructions here: [**Toolbox Getting Started
Guide**](https://github.com/googleapis/genai-toolbox?tab=readme-ov-file#getting-started)
2. **Install the Appropriate SDK:**
Choose the package based on your needs (see "[Which Package Should I Use?](#which-package-should-i-use)" above) and install it:
```bash
# For the core, framework-agnostic SDK
pip install toolbox-core
# OR
# For LangChain/LangGraph integration
pip install toolbox-langchain
# For the LlamaIndex integration
pip install toolbox-llamaindex
```
3. **Use the SDK:**
Consult the README for your chosen package (linked in the "[Available
Packages](#available-packages)" section above) for detailed instructions on
how to connect the client, load tool definitions, invoke tools, configure
authentication/binding, and integrate them into your application or
framework.
> [!TIP]
> For a complete, end-to-end example including setting up the service and using
> an SDK, see the full tutorial: [**Toolbox Quickstart
> Tutorial**](https://googleapis.github.io/genai-toolbox/getting-started/local_quickstart)
## Contributing
Contributions are welcome! Please refer to the
[`CONTRIBUTING.md`](https://github.com/googleapis/mcp-toolbox-sdk-python/blob/main/CONTRIBUTING.md)
to get started.
## License
This project is licensed under the Apache License 2.0. See the
[LICENSE](https://github.com/googleapis/genai-toolbox/blob/main/LICENSE) file
for details.
## Support
If you encounter issues or have questions, please check the existing [GitHub
Issues](https://github.com/googleapis/genai-toolbox/issues) for the main Toolbox
project. If your issue is specific to one of the SDKs, please look for existing
issues [here](https://github.com/googleapis/mcp-toolbox-sdk-python/issues) or
open a new issue in this repository.
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