List BigQuery dataset IDs in a Google Cloud project.
Connector
109,445 tools. Last updated 2026-04-17 21:33
- Executes a read-only SQL SELECT query on the project's BigQuery data warehouse. No data modification allowed. **Table format**: Use `dataset.table` (e.g., `prod_google_ads_v2.campaign_stats`). Do NOT prefix with a project_id.Connector
- List Cloud Run services in a given Google Cloud project and region.Connector
- Searches the official Quanti documentation (docs.quanti.io) to answer questions about using the platform. **When to use this tool:** - When the user asks "how to do X in Quanti?", "what is a connector?", "how to configure BigQuery?" - When the user needs help configuring or using a connector (Google Ads, Meta, Piano, etc.) - To explain Quanti concepts: projects, connectors, prebuilds, data warehouse, tag tracker, transformations - When the user asks about the Quanti MCP (setup, overview, semantic layer) **This tool does NOT replace:** - get_schema_context: to get the actual BigQuery schema for a client project - list_prebuilds: to list pre-configured reports for a connector - get_use_cases: to find reusable analyses - execute_query: to execute SQL **Available topic filters:** connectors, data-warehouses, data-management, tag-tracker, mcp-server, transformationsConnector
- Get metadata information about a BigQuery dataset.Connector
- Get metadata information about a BigQuery table.Connector
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The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.