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
207,110 tools. Last updated 2026-06-18 02:21
"Google BigQuery cloud data warehouse service" matching MCP tools:
- Check for active cloud platform outages and service disruptions across AWS, Google Cloud, and Azure to quickly identify incident status.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 REST API documentation for Google Cloud services to access endpoints, methods, and parameters for integration development.MIT
- 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
Matching MCP Servers
- Alicense-qualityDmaintenanceEnables management of Google Cloud services including BigQuery, Cloud Logging, Cloud Storage, and Compute Engine via MCP tools.Last updatedMIT
- 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.Last updated1MIT
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.
AI-to-AI petrol station. 56 pay-per-call endpoints covering market signals, crypto/DeFi, geopolitics, earnings, insider trades, SEC filings, sanctions screening, ArXiv research, whale tracking, and more. Micropayments in USDC on Base Mainnet via x402 protocol.
- List OCI Analytics services like Analytics Cloud, Big Data, Data Flow, and Data Science. Optionally filter by service type.MIT
- Extract content from specific Google Cloud documentation pages by providing the exact path to retrieve detailed technical information in structured format.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
- Upload data arrays to Microsoft Fabric Data Warehouse tables for analysis and reporting.MIT
- Retrieve the Jira Service Desk linked to a project key. Use this tool to get service desk details for Server/Data Center instances, not available on Cloud.
- Register a new Play Console account by providing the filesystem path to a Google Cloud service-account JSON key file. The key remains on disk, only its path is recorded.MIT
- Retrieve sample data rows for a table using its UUID, avoiding direct BigQuery queries.MIT
- Test which Google Cloud IAM permissions your service account has on specific resources to verify access before deployment or troubleshooting.Apache 2.0
- Retrieve a detailed cost breakdown by Google Cloud service, including usage and SKU information, for a specified billing account and time range.Apache 2.0
- Retrieve all SKUs and pricing details for a specified Google Cloud service to analyze costs and make informed billing decisions.Apache 2.0
- Analyze Google Cloud costs by service with usage and SKU details to identify spending patterns and optimize resource allocation.Apache 2.0
- Identify unusual cost patterns and spending anomalies in Google Cloud billing data by comparing recent costs against historical trends.Apache 2.0
- Analyze Google Cloud billing costs to identify trends, filter by project or service, and group data for detailed insights.Apache 2.0
- Identify unusual spending patterns in Google Cloud billing data to monitor costs and detect potential budget issues.Apache 2.0