> For the complete documentation index, see [llms.txt](https://docs.natoma.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.natoma.ai/apps/genai-toolbox-bigquery.md).

# BigQuery (Toolbox)

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**Early Access** — Reach out to your Natoma representative for access.
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**Type:** Official

**Source Type:** Repository

**Source:** [GitHub](https://github.com/googleapis/genai-toolbox)

**Description:** MCP Toolbox for BigQuery (powered by Google's GenAI Toolbox) provides AI assistants with access to Google BigQuery. It enables listing datasets and tables, inspecting schemas, and running SQL through a service-account key.

**Configuration Parameters:**

* **BigQuery Project** \* - GCP project ID (e.g. `my-gcp-project`).
* **Service Account Key JSON** \* (sensitive) - Full JSON contents of a service-account key with the BigQuery roles you need.

**Setup Steps:**

1. In the Google Cloud Console, select the project that owns the BigQuery data.
2. Navigate to **IAM & Admin → Service Accounts → Create Service Account**, then grant `roles/bigquery.dataViewer` and `roles/bigquery.jobUser` (or a narrower set).
3. From the new account's **Keys** tab, click **Add Key → Create new key**, choose **JSON**, and download the file.
4. When creating the connection in Natoma, paste the JSON contents and the project ID, then save.