Retrieve REST API documentation for Google Cloud services to access endpoints, methods, and parameters for integration development.
MIT
460,219 tools. Updated 2026-08-17 17:52
"Google BigQuery cloud data warehouse service" matching MCP tools:
- Extract content from specific Google Cloud documentation pages by providing the exact path to retrieve detailed technical information in structured format.MIT
- Retrieve active cloud platform outages and service disruptions from AWS, Google Cloud, or Azure. Use filters to narrow by platform or status.MIT
- Search Google Cloud documentation to find configuration guides, best practices, and troubleshooting steps for GCP services like Compute Engine, Cloud Storage, BigQuery, and Kubernetes.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
- Delete a Bult service and remove its cloud hosting deployment resources.MIT
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- Alicense-qualityDmaintenanceEnables management of Google Cloud services including BigQuery, Cloud Logging, Cloud Storage, and Compute Engine via MCP tools.MIT
- Alicense-qualityDmaintenanceEnables 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.1MIT
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The agent-native cloud: database, functions, AI, storage, computers. 50 tools, one API key.
- Export anonymized, prioritized, and stitched historical data from Cold Storage DB to enterprise warehouses like Snowflake, ClickHouse, or BigQuery.MIT
- Retrieve logs and error messages for a specific Cloud Run service by providing the Google Cloud project ID, region, and service name.Apache 2.0
- Retrieve clean, formatted Google Cloud Platform documentation by extracting and converting content from cloud.google.com into markdown format for setup instructions, usage examples, and API details.MIT
- Find Google Cloud Platform services and documentation by searching local mappings, official websites, and API repositories to identify relevant GCP tools for specific use cases.MIT
- List OCI Analytics services like Analytics Cloud, Big Data, Data Flow, and Data Science. Optionally filter by service type.Apache 2.0
- Execute analytical SELECT queries on HR BigQuery data to answer questions about team overtime, delays, and incomplete punches.MIT
- Identifies multiple active connections writing to the same BigQuery table to prevent duplicate data and conflicts.MIT
- Retrieve Infomaniak Public Cloud configuration and service catalog data, including regions, packs, types, and Kubernetes versions.MIT
- Analyzes GCP spending via BigQuery billing data, providing cost breakdowns by service and project to answer questions on overall spend, top services, and project costs.MIT
- Discover available BigQuery datasets in your project. Start here to see all datasets and understand what data you can query.Apache 2.0
- Grant one or more users access to a service desk as customers by providing their usernames (Server/Data Center) or account IDs (Cloud).MIT
- Retrieve details of a Public Cloud Kubernetes service by specifying the KaaS ID, project ID, and Public Cloud ID. Access service information for administration or integration.MIT
- Upload data arrays to Microsoft Fabric Data Warehouse tables for analysis and reporting.MIT
- Create a Cloud Foundry service instance by specifying the service offering, plan, instance name, and optional JSON parameters.MIT