Google BigQuery MCP Server
Empower your AI agent to query massive datasets via BigQuery — execute Standard SQL, track active jobs, and inspect table schemas natively.
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Google BigQuery MCP Server : voyez votre AI Agent en action
Capacités intégrées (7)
execute_query
Run an explicit BigQuery Standard SQL command
get_dataset
Get exact details of a specific BigQuery dataset
get_job
Get complete details of a specific BigQuery Job run
get_table
Get explicit metadata and schema details of a pure BigQuery Table
list_datasets
List all explicit Datasets in the active GCP project
list_jobs
List recent explicit BigQuery runtime Jobs securely
list_tables
List explicit Tables natively contained within a Dataset
Ce que ce connecteur débloque
Connect your Google BigQuery data warehouse to any AI agent and empower it to act as a fractional data analyst. Traverse structured schemas, audit data pipelines, and execute complex aggregations over petabytes of data purely through conversational prompts.
What you can do
- Execute Queries — Prompt natively structural Data Analytics requests and allow the LLM to write, run, and summarize exact
Standard SQLinstantly - Discover Schemas — Inspect deep table column mappings, discovering strict clustering logic and native partitioning limits
- Audit Workloads — Paginate recent cluster jobs, identify heavily delayed computations globally, and read bytes explicitly processed by runs
- Dataset Topologies — Traverse nested datasets logically mapping GCP access properties recursively
- Performance Troubleshooting — Read exact job error traces directly confirming syntax failures natively
How it works
1. Subscribe to this server
2. Enter your GCP Project ID and an active OAuth/Service Account Token
3. Start querying terabytes of rows securely from Claude, Cursor, or your preferred agent workspace
Stop switching into the GCP Console for quick data validations. Check database constraints and summarize recent daily logs all from your chat.
Who is this for?
- Data Engineers — troubleshoot failing scheduled queries and explore undocumented columns securely on-the-fly
- Marketing Analysts — request customer cohorts using conversational logic that natively translates to optimized SQL
- Backend Developers — rapidly confirm if application background pipelines successfully inserted the necessary rows without breaking flow
Questions fréquemment posées
Donnez à vos agents IA la puissance de Google BigQuery
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