Integration · Databases
AI agents for BigQuery
Run SQL on BigQuery, browse datasets, tables and their columns, and stream rows into a table, in a Google Cloud project, signed in with the person's own Google account.
- Actions
- 5
- Read
- 3
- Write
- 2
Actions
What your agents can do in BigQuery
5 actions. Each one is a tool your agents can call and a step your workflows can run.
Read 3
Look things up. Nothing changes.
List datasets
Lists the datasets in the connection's project, or in another project the person can read (such as bigquery-public-data).
List tables
Lists the tables and views in a dataset.
Get a table's schema
Reads a table's or view's columns and size, to write a correct query or rows that fit.
Write 2
Create, change or send.
Run a SQL queryDeletes data
Runs one GoogleSQL statement in the connection's project and waits up to timeout_seconds for it.
Insert rows
Streams rows into an existing table, each row an object of column name to value, like {"order_id": "A-1", "total": 42.5, "created_at": "2026-10-01T10:00:00Z"}.
A person can approve first
Any write action can be set to wait for a person's approval before it runs, so an agent asks before it changes anything. Actions that delete data ask first by default.
Connection
How it connects
Connect it once in the console, then give it to the agents and workflows that need it.
Sign in with Google and approve access (OAuth).
Settings
- Project ID
Kept safe
- Credentials are stored encrypted with your organization's own keys.
- They are opened only by the process that makes the call, at the moment it runs, and never go into a prompt or the browser.
- Calls go only to the tool's own servers.
Ideas
Ideas to start with
Starting points made only from the actions above. Mix them with any other tool your agents can use.
- 01
Ask about your BigQuery data
Ask a question in plain words. The agent can list datasets, list tables or get a table's schema in BigQuery, then answers with what it found.
- 02
Let an agent update BigQuery
Have the agent insert rows or run a SQL query in BigQuery as part of a larger task. Turn on approval and a person signs off on each change first.
- 03
Share what it finds in Slack
Give one agent BigQuery and Slack: it can list datasets in BigQuery and post a summary to a Slack channel in the same run.
Works well with
More Databases tools
- PostgreSQL5 actionsRead and query a PostgreSQL database directly: Amazon RDS and Aurora, Google Cloud SQL, Azure, Neon, Supabase, or your own server with a public address.
- MySQL5 actionsRead and query a MySQL database directly: Amazon RDS and Aurora MySQL, Google Cloud SQL, Azure, PlanetScale, or your own server with a public address.
- MongoDB7 actionsRead and query a MongoDB database directly: MongoDB Atlas (mongodb+srv) or your own server with a public address.
- Snowflake9 actionsRun read-only SQL in Snowflake and page through the results, and list databases, schemas, tables, columns and warehouses, through the SQL API with a programmatic access token or a key pair.
- Pinecone8 actionsSearch, add, read and delete vectors in a Pinecone index: similarity search by vector or by a stored record's ID, text search on indexes with integrated embedding, index statistics and the list of indexes in the project.
- Amazon DynamoDB8 actionsRead and write items in Amazon DynamoDB tables: get, put, update and delete an item by its key, query by partition key or an index, scan with a filter, and list and describe tables, signed with an AWS access key.
FAQ
BigQuery and MyDeepAgents
Can MyDeepAgents connect to BigQuery?
Yes. The BigQuery connector has 5 actions: 3 read and 2 make changes. Your agents can call them as tools, and your workflows can run them as steps.
How do I connect BigQuery?
Sign in with Google and approve access (OAuth). The connection also asks for: Project ID. Credentials are stored encrypted with your organization's own keys and are opened only at the moment of a call.
Can an agent change data in BigQuery without asking?
Only if you let it. Each of the 2 actions that change data can be set to wait for a person's approval before it runs, and the one that deletes data asks first by default.
Can I use BigQuery in workflows as well as agents?
Yes. Every BigQuery action also works as a step in a workflow, and the same connection serves your agents and your workflows.
Early access
Put BigQuery to work
Connect it in a few minutes, give an agent the actions it needs, and decide which changes wait for a person.