Integration
Connect Google BigQuery to Neon Postgres
When New Job Completed fires in Google BigQuery, your agent runs Add project in Neon Postgres. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Google BigQuery and Neon Postgres to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Google BigQuery can start in Neon Postgres
When New Job Completed in Google BigQuery
then Add project in Neon Postgres
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Google BigQuery and Neon Postgres
Triggers and actions 4 triggers · 39 actions
- New Job Completed
Triggers when a BigQuery job in the project finishes, whether it succeeded or failed.
- New Row
Triggers when a new row is added to a table. New rows are detected by a column you name that increases for newer rows, such as a creation time or a sequential ID.
- Query Job Completed (With Row Data)
Triggers when a SELECT query job in the project finishes successfully, and includes its result rows.
- Updated Row
Triggers when a row in a table is added or changed, detected by a last-updated timestamp column you name.
- Create Row
Creates a new row of data in a table. Note: Does not create a job.
- Create Rows
Creates new rows of data in a table (accepts line items). Note: Does not create a job.
- Delete Rows
Deletes every row in a table whose match column equals the value you give.
- Find One Row
Finds the first row in a table whose column equals the value you give.
- Get Rows for Job Completed
Returns the result rows of a finished query job.
- Import Data
Imports a JSON, CSV, Avro or Parquet file from Cloud Storage into a table. Waits up to about 40 seconds for the import to finish; larger imports keep running in BigQuery and return state RUNNING.
- List Datasets
Returns the datasets in a Google Cloud project.
- List Tables
Returns the tables in a BigQuery dataset.
- Run a Query
Runs a SQL query against a table in BigQuery.
- Update Row(s)
Updates every row in a table whose match column equals the value you give, setting the columns you choose.
- Add branch
Create a new branch in a Neon project.
- Add compute endpoint
Creates a compute endpoint (a Neon compute instance) on a branch of a Neon project. A branch can have one read-write endpoint and multiple read-only endpoints.
- Add database
Creates a new Postgres database in a Neon project branch, owned by an existing role.
- Add project
Creates a new Neon Postgres project with its default branch, database, role and compute, and returns the project along with its connection details.
- Add role
Creates a Postgres role in the specified Neon project branch. Connections to the branch's active compute are dropped while the change applies.
- Delete branch
Delete a branch by project_id and branch_id.
- Delete compute endpoint
Deletes a compute endpoint from a Neon project. Existing connections to the compute are dropped. If the compute does not exist or was already deleted, the step still succeeds with an empty result.
- Delete database
Deletes the specified database from a branch of a Neon project.
- Delete project
Deletes a Neon project and all its branches, compute endpoints, databases and roles. The project can be recovered within 7 days.
- Delete role
Deletes the specified Postgres role from a Neon branch.
- Get branch
Retrieves details of a branch in a Neon project.
- Get compute endpoint
Retrieve details about a compute endpoint.
- Get connection URI
Retrieve a Postgres connection URI for a database/role/branch/endpoint combination.
- Get database
Retrieves details of a database on a Neon project branch.
- Get project
Retrieves the details of a Neon project, including its settings, compute configuration, history retention, owner and current usage metrics.
- Get role
Retrieves details about a Postgres role (user) on a Neon branch.
- Get role password
Retrieves the password for a Postgres role on a Neon branch.
- List branches
Retrieve a list of branches for a Neon project.
- List compute endpoints
Lists the compute endpoints (Neon compute instances) in a project.
- List databases
Lists the databases on a branch of a Neon project.
- List operations
Lists the operations (asynchronous actions such as starting a compute or creating a branch) Neon performed on a project. Operations older than 6 months may no longer be available.
- List projects
Lists the Neon projects accessible to the connected account, optionally filtered by name/ID or organization.
- List roles
Lists the Postgres roles on a Neon project branch.
- Start compute endpoint
Start (resume) a suspended compute endpoint.
- Suspend compute endpoint
Suspends the specified Neon compute endpoint (scales it to zero).
- Update branch
Update a branch's properties (e.g. name, protected) by project_id and branch_id.
- Update compute endpoint
Updates an existing compute endpoint in a Neon project by ID.
- Update database
Updates the name or owner of a database on a Neon project branch.
- Update project
Update settings for a Neon project by project_id.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
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Questions
Google BigQuery and Neon Postgres, answered
What can start an automation from Google BigQuery?
Any of Google BigQuery's 4 triggers in the catalog, including New Job Completed, New Row, Query Job Completed (With Row Data) and Updated Row. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Neon Postgres when something happens in Google BigQuery?
Any of Neon Postgres's 29 actions, including Update branch, Update compute endpoint, Update database and Update project. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Neon Postgres to Google BigQuery?
Neon Postgres has no triggers in the catalog today, so automations start in Google BigQuery. If you need the other direction, ask: your agent reads Neon Postgres's API documentation and adds it.
Do I have to build a connector for Google BigQuery or Neon Postgres?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
Can my AI client use Google BigQuery and Neon Postgres without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.