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docs: add Google partner guide for MCP Toolbox (#32356)

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This PR introduces a new Google partner guide for MCP Toolbox. The
primary goal of this new documentation is to enhance the discoverability
of MCP Toolbox for developers working within the Google ecosystem,
providing them with a clear and direct path to using our tools.

> [!IMPORTANT]
> This PR contains link to a page which is added in #32344. This will
cause deployment failure until that PR is merged.

---------

Co-authored-by: Mason Daugherty <mason@langchain.dev>
Co-authored-by: Mason Daugherty <github@mdrxy.com>
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Anubhav Dhawan 2025-08-12 03:04:12 +05:30 committed by GitHub
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docs/docs/integrations/providers/google.mdx
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@ -929,6 +929,41 @@ from langchain_google_community.gmail.search import GmailSearch
from langchain_google_community.gmail.send_message import GmailSendMessage
```
### MCP Toolbox
[MCP Toolbox](https://github.com/googleapis/genai-toolbox) provides a simple and efficient way to connect to your databases, including those on Google Cloud like [Cloud SQL](https://cloud.google.com/sql/docs) and [AlloyDB](https://cloud.google.com/alloydb/docs/overview). With MCP Toolbox, you can seamlessly integrate your database with LangChain to build powerful, data-driven applications.
#### Installation
To get started, [install the Toolbox server and client](https://github.com/googleapis/genai-toolbox/releases/).
[Configure](https://googleapis.github.io/genai-toolbox/getting-started/configure/) a `tools.yaml` to define your tools, and then execute toolbox to start the server:
```bash
toolbox --tools-file "tools.yaml"
```
Then, install the Toolbox client:
```bash
pip install toolbox-langchain
```
#### Getting Started
Here is a quick example of how to use MCP Toolbox to connect to your database:
```python
from toolbox_langchain import ToolboxClient
async with ToolboxClient("http://127.0.0.1:5000") as client:
tools = client.load_toolset()
```
See [usage example and setup instructions](/docs/integrations/tools/toolbox).
### Memory
Store conversation history using Google Cloud databases.