"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 natural language exploration and querying of Google BigQuery datasets through four tools: listing datasets, inspecting table schemas, generating SQL queries with LLM assistance, and executing approved queries.

MCP server that exposes Google Trends data via BigQuery, enabling LLMs to query top search terms, rising terms, and compare term interest over time for different countries.

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

Exposes data query and auto-insights (anomaly detection) as MCP tools. Enables AI agents to query metrics, list columns, and get data insights directly from pandas.

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.

Enables natural-language queries over data warehouses with catalog-grounded semantics and per-query authorization, returning answers with attached reasoning.

A read-only Model Context Protocol server over Google BigQuery that lets AI clients answer plain-language data questions by discovering schemas, inspecting table freshness and code assets, and running validated SELECT queries under the user's own Google credentials.

MCP server providing access to Google Trends, YouTube listings, Google Ads Transparency, and Google Play reviews via plain HTTP, with no API key required. It caches results and paces requests to work within Google's informal rate limits.

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

Enables traceable warehouse CAD round trips and bounded Agent-to-AutoCAD MCP tools for auditing, editing, and rebuilding CAD models.

Enables validation and dry-run analysis of BigQuery SQL queries without execution. Provides cost estimates, schema previews, and syntax validation for BigQuery queries.

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

Enables AI assistants to read, write, and manage Google Docs, Sheets, and Drive files through structured MCP tools using service-account authentication, without requiring an OAuth consent screen.

Lets an AI assistant explore and query Postgres, DuckDB, or Snowflake with read-only SQL, table and schema discovery, sampling, and explainable guardrails.

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 AI agents to query a Postgres data warehouse through a governed, read-only SQL interface with policy enforcement, row limits, schema-level PII isolation, and a full audit trail.

Enables LLMs to inspect database schemas, list tables, and execute SQL queries against a configured cloud data warehouse, with optional dataset filtering, service-account credentials, and query timeouts.