MCP servers and skills: search, filter by where they run, and compare.
Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and a
OfficialSkillApache-2.0★ 21k in collectionNo key
Practical MCP server for large BigQuery datasets. Supports vector search. Keep LLM context small while staying fast and allowing only safe read-only actions.
PythonMIT★ 10No key
Provides workflows to optimize BigQuery environments (capacity planning, editions), storage assets (partitioning, clustering, storage lifecycles, billing models), and SQL queries. Use when optimizing
OfficialSkillApache-2.0★ 21k in collectionNo key
Provides diagnostic workflows and step-by-step root-cause analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query plan stage bottlenecks, system performance
OfficialSkillApache-2.0★ 21k in collectionNo key
Generates Python code using BigQuery DataFrames (BigFrames). Use by default for any Python data task involving BigQuery, including data processing, analysis, and machine learning. Don't use for SQL-fi
OfficialSkillApache-2.0★ 21k in collectionNo key
BigQuery Skills - Claude Code plugin that makes Claude a BigQuery expert. 5 skills covering query optimization, SQL generation, schema design, cost optimization, and BigQuery-specific features. Detect
SkillApache-2.0★ 17No key
Provides data-retrieval best practices, tool selection guidance, and performant SQL query syntax for BigQuery telemetry across INFORMATION_SCHEMA, Cloud Monitoring, and the REST API. Use when the tele
OfficialSkillApache-2.0★ 21k in collectionNo key
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect o
OfficialSkillApache-2.0★ 21k in collectionNo key
Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.
OfficialSkillMIT★ 40k in collectionNo key
Analyzes the downstream impact (blast radius) using data lineage on Google Cloud when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processe
OfficialSkillApache-2.0★ 21k in collectionNo key
Read-only BigQuery MCP server — ask data questions in plain language via Claude/any MCP client
PythonMITFew starsNo key
A Model Context Protocol server that provides access to BigQuery
PythonMIT★ 131No key
SkillMIT★ 5No key
Minimal, read-only BigQuery MCP server with explicit guardrails: dry-run checked SELECT only, dataset allowlist, cost cap. stdio or private Cloud Run.
PythonMIT★ 4Few starsNo key
Translates Snowflake dbt SQL models to Standardized BigQuery SQL. Handles SQL compilation, Jinja macro placeholder masking, BigQuery Translation Service migration workflows, AST-based config transform
OfficialSkillApache-2.0★ 21k in collectionNo key
A Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery datasets. Enables Large Language Models (LLMs) to safely query and analyze data through a standardized interfac
Node.jsMIT★ 148No key
Node.jsMITFew starsNo key
Answer natural language questions and perform analysis on GKE cluster and workload costs using BigQuery billing exports, cost allocation data, and live cluster monitoring metrics. Use when querying GK
OfficialSkillApache-2.0★ 21k in collectionNo key
Node.jsMITFew starsNo key
Summarizes data lineage graphs on Google Cloud to help users debug data quality issues and understand data provenance for BigQuery and Cloud Storage. Use when summarizing upstream and downstream data
OfficialSkillApache-2.0★ 21k in collectionNo key
USPTO patent creation system with MCP server + Claude Code plugin. Hybrid RAG search over MPEP/USC/CFR, BigQuery access to 76M+ patents, automated 35 USC 112 compliance checks, prior art search, diagr
PythonMIT★ 200No key
Discovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents. Use when architecting multi-cloud storage infrastructure (Cloud Storage
OfficialSkillApache-2.0★ 21k in collectionNo key
Retrieve, query, and identify relevant Cloud Monitoring metric descriptors on Google Cloud for a service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run, Cloud SQL, Pub/Sub, Cloud St
OfficialSkillApache-2.0★ 21k in collectionNo key
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