Skip to main content
Glama
668,750 tools. Updated 2026-10-17 07:18

"Google BigQuery" matching MCP tools:

  • Fetch a stored Google Maps business record by Google place_id from the google-map-businesses dataset. Returns its category, rating, review count, location, and closure status.
    MIT
  • Create a data source for loading data from object storage (S3, GCS, Azure Blob), data warehouses (Snowflake, BigQuery, PostgreSQL), Iceberg, or Kafka. Provide name, type, and type-specific config keys.
    Apache 2.0
  • Search nearby stored Google Maps businesses. Searches stored Google Maps businesses near a coordinate in dataset id enum value `google-map-businesses`.
    MIT
  • Execute data quality validation rules from a YAML file against DuckDB, BigQuery, Athena, Databricks, or Postgres, returning a JSON report with optional LLM-driven root cause analysis.
    Apache 2.0

Matching MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    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.
    1
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    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/).
    MIT

Matching MCP Connectors

  • 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.

  • Bulk Google Trends: interest over time, regions, rising queries and plain-English trend summaries.