Google BigQuery MCP integration
Reads a table's schema and runs the SQL a question needs, creates datasets and streams in rows, cancels long-running jobs, and reports who has access.
63actions available
Three actions you can hand over today
Every action runs live through MCP. Nothing to build, nothing to maintain.
Query
Lyro runs a SQL query to pull the exact data you need from BigQuery in seconds. You get live results to answer customer questions without waiting for dashboard refreshes.
Cancel bigquery job
Lyro stops a long-running BigQuery query that's consuming resources or no longer needed. The job terminates immediately and frees up slots for other work.
Insert bigquery job
Lyro launches a new query, load, or pipeline job in BigQuery asynchronously without blocking. Results arrive when the job completes so you can check them later.
How businesses use Google BigQuery + Lyro
Each card is one request a support team gets, and the Google BigQuery actions Lyro runs to close it.
Answer the question with actual SQL
Lyro fetches the table schema first so the query references real columns, runs the SQL, and returns the result rows, which keeps an ad-hoc data question from becoming a ticket for the analytics team.
Get BigQuery Table SchemaQueryGet BigQuery Query ResultsLand new data without a pipeline change
Lyro creates the dataset in the right location, defines the table, and streams records into it one at a time, so a small feed can start collecting before anyone builds a load job for it.
Create BigQuery DatasetCreate BigQuery TableInsert Data into BigQuery TableKeep an eye on what is running
Lyro lists the jobs started in a project, reports the configuration and status of the one someone is asking about, and cancels a query that is burning slots for no useful result.
List BigQuery JobsGet BigQuery JobCancel BigQuery JobCheck who can see a table before sharing it
Lyro reads the IAM policy on a table, lists the row access policies filtering what each caller sees, and tests which permissions the connected account itself holds on a routine.
Get BigQuery Table IAM PolicyList BigQuery Row Access PoliciesTest BigQuery Routine IAM Permissions
How it works
Get started in 3 steps
Connect once, then just ask. There is no workflow builder to learn and nothing to maintain — Lyro reads the Google BigQuery actions it has and picks the ones a request needs.
Connect Google BigQuery
Authorize the Google BigQuery account your team already uses — one consent screen, no API keys, no mapping tables. Lyro can only do what you granted that account, and you can disconnect it at any time.
Tell your agent what you need
Describe the job the way you would hand it to a teammate. Lyro maps it to the Google BigQuery actions that close it and chains as many as the request needs.
Watch it work
The agent runs the actions inside the conversation the customer is already in, so nobody copies data between tabs and your team can take over at any point.
Get started free
Google BigQuery · Lyro
What can you do in Google BigQuery without me setting anything up?
These, right away:
- Create capacity commitment
- Get bigquery ml model
- Cancel bigquery job
Great, let's start with the first one.
FAQ
Everything else about Google BigQuery
Setup, permissions, and the limits of what Lyro can do inside Google BigQuery.
Insert BigQuery Job starts a query, load, extract, or copy asynchronously, Get BigQuery Job reports its status, and Get BigQuery Query Results fetches the rows once it completes. Cancel BigQuery Job returns immediately and the real state still has to be polled, so Lyro reports a cancellation as in progress rather than done.
Every action available in Google BigQuery
All 63 actions your agent can call on Google BigQuery, straight from the live MCP connection.
Cancel bigquery job
Cancel a running BigQuery job.
Create capacity commitment
Create a new capacity commitment resource in BigQuery Reservation.
Create bigquery connection
Create a new BigQuery connection to external data sources using the BigQuery Connection API.
Create analytics hub data exchange
Create a new Analytics Hub data exchange for sharing BigQuery datasets.
Create analytics hub listing
Create a new listing in a BigQuery Analytics Hub data exchange.
Create bigquery dataset
Create a new BigQuery dataset with explicit location, labels, and description using the BigQuery Datasets API.
Create analytics hub listing
Create a new listing in a data exchange using Analytics Hub API.
Create bigquery data policy (v2beta1)
Create a new data policy under a project with specified location using the v2beta1 BigQuery Data Policy API.
Create analytics hub query template
Create a new query template in a BigQuery Analytics Hub Data Clean Room (DCR) data exchange.
Create bigquery reservation
Create a new BigQuery reservation resource to guarantee compute capacity (slots) for query and pipeline jobs.
Create bigquery reservation assignment
Create a BigQuery reservation assignment that allows a project, folder, or organization to submit jobs using slots from a specified reservation.
Create bigquery routine
Create a new user-defined routine (function or procedure) in a BigQuery dataset.
Create bigquery table
Create a new, empty table in a BigQuery dataset.
Delete bigquery dataset
Delete a BigQuery dataset specified by datasetId via the datasets.delete API.
Delete bigquery job metadata
Delete the metadata of a BigQuery job.
Delete bigquery ml model
Delete a BigQuery ML model from a dataset.
Delete bigquery routine
Delete a BigQuery routine by its ID.
Delete bigquery table
Delete a BigQuery table from a dataset.
Get bigquery ml model
Retrieve a specific BigQuery ML model resource by model ID.
Get bigquery connection iam policy
Get the IAM access control policy for a BigQuery connection resource.
Get bigquery dataset metadata
Retrieve BigQuery dataset metadata including location via the datasets.get API.
Get bigquery job
Retrieve information about a specific BigQuery job.
Get bigquery query results
Get the results of a BigQuery query job via RPC.
Get bigquery routine
Retrieve a BigQuery routine (user-defined function or stored procedure) by its ID.
Get bigquery routine iam policy
Retrieve the IAM access control policy for a BigQuery routine resource.
Get bigquery service account
Get the service account for a project used for interactions with Google Cloud KMS.
Get bigquery table iam policy
Retrieve the IAM access control policy for a BigQuery table resource.
Get bigquery table schema
Fetch a BigQuery table's schema and metadata without querying row data.
Insert data into bigquery table
Stream data into BigQuery one record at a time without running a load job.
Insert bigquery job
Start a new asynchronous BigQuery job (query, load, extract, or copy).
The tools Google BigQuery sits next to
Same connection, same setup. Pick the next one your team already uses.
Browseai
Runs a trained robot on demand or 1,000 tasks in one call, schedules change monitors, and reports what each extraction returned.
Faceup
Runs a filtered statistics query against FaceUp reporting data so activity questions get a real figure in the conversation.
Klipfolio
Reads the live data behind a dashboard, forces a stale data source to refresh, and manages the users, roles, and share rights around it.
Parsehub
Retrieves every scraping project on a ParseHub account, so a team confirms what is already configured without a dashboard login.
Segment
Records conversation events, updates customer traits, links anonymous visitors to known profiles, and reports source and destination delivery health.
Wolfram alpha api
Returns short, spoken or LLM-formatted computed answers, checks how a query parses, and recovers pods from a timed-out computation.
Ready to connect Google BigQuery?
Authorize the account and your agent has all 63 actions from the first conversation.