# Google Cloud Data Agent Kit documentation

[Read product documentation](https://docs.cloud.google.com/data-agent-kit/overview)
Google Cloud Data Agent Kit is for data engineers, data scientists, and data app developers.
Data Agent Kit lets you work with your Google Cloud resources to manage your data
assets, run queries, and deploy data pipelines directly from your preferred development
environment. Interfaces include an IDE extension that works with VS Code and VS Code-compatible
IDEs, and a plugin for popular coding agents such as Claud Code and Codex CLI.

## Documentation resources

Find quickstarts and guides, review key references, and get help with common issues.

### Get started

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  [Data Agent Kit overview](https://docs.cloud.google.com/data-agent-kit/overview)

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  [Install Data Agent Kit](https://docs.cloud.google.com/data-agent-kit/install)

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  [Set up and configure settings](https://docs.cloud.google.com/data-agent-kit/configure)

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### Guides

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  [Use MCP servers](https://docs.cloud.google.com/data-agent-kit/use-mcp-servers)

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  [Transform data](https://docs.cloud.google.com/data-agent-kit/transform-data)

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  [Build data pipelines](https://docs.cloud.google.com/data-agent-kit/build-pipelines)

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  [Train AI and ML models](https://docs.cloud.google.com/data-agent-kit/train-models)

### Reference and resources

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  [Data Agent Kit plugin GitHub repository](https://github.com/GoogleCloudPlatform/data-agent-kit-plugin)

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  [VS Code release notes](https://marketplace.visualstudio.com/items?itemName=GoogleCloudTools.datacloud&ssr=false#version-history)

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  [Open VSX release notes](https://open-vsx.org/extension/googlecloudtools/datacloud/changes)

## Related resources

Explore self-paced training, use cases, reference architectures, and code samples with examples of how to use and connect Google Cloud services. Codelab Training and tutorials

### [Raw data to forecasting in seconds with AI agents](https://codelabs.developers.google.com/next26/gen-keynote/raw-data-forecasting#0)


Walk through a codelab that demonstrates how to to deliver actionable business intelligence through a unified governance layer.


Blog Training and tutorials

### [The future of agentic development: Redefining the data practitioner lifecycle with Data Agent Kit](https://cloud.google.com/blog/products/data-analytics/data-agent-kit-brings-data-skills-and-tools-to-your-ide-or-cli)


See how Data Agent Kit and MCP servers work together in a fraud detection scenario.


Solution Training and tutorials

### [Technical Implementation Guide: Modernizing Data Apps with the Data Agent Kit](https://googlecloudplatform.github.io/cloud-solutions/agentic-coding-with-data-agent-kit-demo/)


Use advanced AI database capabilities including vector search, hybrid search, and graph traversal to move past development hurdles.


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