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4 changes: 2 additions & 2 deletions docs/mcp/index.md
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Expand Up @@ -47,7 +47,7 @@ MCP Toolbox provides out-of-the-box toolsets for the following databases and dat

#### Google Cloud

* BigQuery (including tools for SQL execution, schema discovery, and ML forecasting)
* BigQuery (including tools for SQL execution, schema discovery, and AI-powered time series forecasting)
* AlloyDB (PostgreSQL-compatible, with tools for both standard queries and natural language queries)
* Spanner (supporting both GoogleSQL and PostgreSQL dialects)
* Cloud SQL (with dedicated support for Cloud SQL for PostgreSQL, Cloud SQL for MySQL, and Cloud SQL for SQL Server)
Expand Down Expand Up @@ -110,4 +110,4 @@ generative media workflows. For implementation guidance, refer to the [ADK
example
agent](https://github.com/GoogleCloudPlatform/vertex-ai-creative-studio/tree/main/experiments/mcp-genmedia/sample-agents/adk)
and the
[Genkit example](https://github.com/GoogleCloudPlatform/vertex-ai-creative-studio/tree/main/experiments/mcp-genmedia/sample-agents/genkit).
[Genkit example](https://github.com/GoogleCloudPlatform/vertex-ai-creative-studio/tree/main/experiments/mcp-genmedia/sample-agents/genkit).
1 change: 1 addition & 0 deletions docs/tools/built-in-tools.md
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Expand Up @@ -143,6 +143,7 @@ These are a set of tools aimed to provide integration with BigQuery, namely:
* **`list_table_ids`**: Fetches table ids present in a BigQuery dataset.
* **`get_table_info`**: Fetches metadata about a BigQuery table.
* **`execute_sql`**: Runs a SQL query in BigQuery and fetch the result.
* **`forecast`**: Runs a BigQuery AI time series forecast using the `AI.FORECAST` function.
* **`ask_data_insights`**: Answers questions about data in BigQuery tables using natural language.

They are packaged in the toolset `BigQueryToolset`.
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