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+# BigQuery MCP Toolset Sample
+
+## Introduction
+
+This sample agent demonstrates using ADK's `McpToolset` to interact with
+BigQuery's official MCP endpoint, allowing an agent to access and execute
+tools by leveraging the Model Context Protocol (MCP). These tools include:
+
+1. `list_dataset_ids`
+
+Fetches BigQuery dataset ids present in a GCP project.
+
+2. `get_dataset_info`
+
+Fetches metadata about a BigQuery dataset.
+
+3. `list_table_ids`
+
+Fetches table ids present in a BigQuery dataset.
+
+4. `get_table_info`
+
+Fetches metadata about a BigQuery table.
+
+5. `execute_sql`
+
+Runs or dry-runs a SQL query in BigQuery.
+
+## How to use
+
+Set up your project and local authentication by following the guide
+[Use the BigQuery remote MCP server](https://docs.cloud.google.com/bigquery/docs/use-bigquery-mcp).
+This agent uses Application Default Credentials (ADC) to authenticate with the
+BigQuery MCP endpoint.
+
+Set up environment variables in your `.env` file for using
+[Google AI Studio](https://google.github.io/adk-docs/get-started/quickstart/#gemini---google-ai-studio)
+or
+[Google Cloud Vertex AI](https://google.github.io/adk-docs/get-started/quickstart/#gemini---google-cloud-vertex-ai)
+for the LLM service for your agent. For example, for using Google AI Studio you
+would set:
+
+- GOOGLE_GENAI_USE_ENTERPRISE=FALSE
+- GOOGLE_API_KEY={your api key}
+
+Then run the agent using `adk run .` or `adk web .` in this directory.
+
+## Sample prompts
+
+- which weather datasets exist in bigquery public data?
+- tell me more about noaa_lightning
+- which tables exist in the ml_datasets dataset?
+- show more details about the penguins table
+- compute penguins population per island.