"Google BigQuery" matching MCP servers:

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.

This read-only MCP Server allows you to connect to Google BigQuery data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

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.

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

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

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

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

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.

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 cost optimization and financial operations for Google BigQuery through natural language interactions. Provides insights into BigQuery spending, usage patterns, and cost management recommendations.

A server that enables executing and validating SQL queries against Google BigQuery with safety features that prevent data modifications and excessive processing.

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 BigQuery.

Read-only, PII-masked MCP server for querying data federated through DuckDB — list sources/tables, inspect schemas, and run SQL across Postgres, MySQL, SQLite, Snowflake, BigQuery, Excel, and files, governed per source/table/column by a charter.yaml contract. Snowflake, BigQuery, Excel, and files, governed per source/table/column by a charter.yaml contract.

An MCP-based conversational HR agent that handles time tracking queries, policy lookups, adjustment approvals with human confirmation, and BigQuery analytics via natural language.

Natural language to SQL engine with multi-connector support (PostgreSQL, MySQL, Snowflake, BigQuery, DuckDB), document QA, semantic caching, and self-hosted MCP server.