"Google BigQuery cloud data warehouse service" matching MCP servers:

Enables management of Google Cloud services including BigQuery, Cloud Logging, Cloud Storage, and Compute Engine via MCP tools.

Enables AI agents to analyze BigQuery datasets through MCP, using tools to inspect datasets and execute read-only SQL queries.

Enables AI agents to interact with Google BigQuery databases through natural language queries and schema exploration.

A Model Context Protocol server that connects to Google Cloud services, allowing users to query logs, interact with Spanner databases, and analyze Cloud Monitoring metrics through natural language interaction.

MCP server for secure BigQuery access across multiple Google Cloud projects, enabling querying, schema exploration, and data analysis with SQL validation and read-only controls.

Enables AI assistants to query and analyze Google BigQuery data, including schema browsing, running queries, and comparing datasets through natural language.

Gives AI assistants hands-on control over Google Play Console and Google Cloud Console using an authorized Google identity. Exposes 95 tools for shipping app builds and release tracks, managing store listings, reviews, in-app products, GCP projects and IAM, Firebase projects and App Distribution, and Cloud Storage or Artifact Registry resources.

A Model Context Protocol server that enables LLMs to understand BigQuery dataset structures and execute SQL queries.

Enables LLMs to explore BigQuery datasets and tables, run safe read-only queries, and optionally perform vector search using BigQuery embeddings.

Enables LLMs to interact with Google BigQuery by inspecting database schemas, listing tables, and executing SQL queries. This server facilitates seamless data analysis and management through natural language via the Model Context Protocol.

Enables read-only access to Google BigQuery, allowing users to list tables, inspect metadata, and run SELECT queries with enforced row and byte limits.

A Model Context Protocol (MCP) server that enables LLMs to interact with Google BigQuery.

Enables LLMs to inspect database schemas, list tables, and execute SQL queries against Google BigQuery. Supports configuration of project, location, datasets, service account credentials, and query timeouts.

Enables reading and acting on Google Cloud support cases, comments, attachments, and classifications across projects and organizations through MCP, with configurable read/write tools and confirmation safeguards.

Enables LLMs to inspect dataset schemas, list tables, and execute SQL queries against configured Google Cloud projects.

Enables LLMs to inspect BigQuery schemas, list tables, describe table structures, and execute SQL queries.

Enables reading BigQuery data from ChatGPT using read-only SQL queries, with OAuth authentication and project-level access control.

Enables LLMs to inspect database schemas and execute SQL queries against BigQuery.

Enables LLMs to inspect database schemas, list tables, and execute SQL queries against configured Google Cloud datasets.

Enables LLMs to inspect BigQuery schemas and execute SQL queries, with optional dataset filtering and timeout configuration.