Integration
Connect Fibery and Google BigQuery
When Entity Updated (Or Created) fires in Fibery, your agent runs Create Row in Google BigQuery, or New Job Completed in Google BigQuery to Add comment in Fibery. 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 Fibery and Google BigQuery to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 Fibery and Google BigQuery can do together
From Fibery to Google BigQuery
When Entity Updated (Or Created) in Fibery
then Create Row in Google BigQuery
From Google BigQuery to Fibery
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 Fibery and Google BigQuery
Triggers and actions 7 triggers · 17 actions
- Entity Updated (Or Created)
Triggered when an entity in the chosen database is created or updated.
- New Entity
Triggers when a new Entity (Task, Document, etc.) is created.
- New Type
Triggers when a new type is created.
- Add comment
Add a comment to an entity.
- Add Entity
Creates a new Entity (Task, Document, etc.).
- Delete Entity
Delete an entity by id.
- Find Entity
Finds an Entity with matching field values.
- Get Document
Returns the content of a Fibery rich-text document (e.g. a comment body or rich-text field) by its document secret.
- Get Entity
Retrieve one entity by id with selected fields.
- Update Entity
Updates existing Entity (Task, Document, etc.).
- 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.
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
What our customers say
More from Fibery
Fibery to HubSpotHubSpot is your all-in-one stop for all of your marketing software needs.
Fibery to SalesforceSalesforce is a leading enterprise customer relationship management (CRM) platform.
Fibery to SlackSlack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...
Fibery to Google SheetsGoogle Sheets
Fibery to GmailGmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...
Fibery to Google CalendarGoogle Calendar is a time management tool providing scheduling features, event reminders, and integration...
More into Google BigQuery
ActiveCampaign to Google BigQueryActiveCampaign is a marketing automation, email marketing, and CRM platform.
Airtable to Google BigQueryOrganize anything with Airtable, a modern database created for everyone.
Asana to Google BigQueryAsana is a collaborative information manager for workspace.
ClickUp to Google BigQueryClickUp is an all-in-one app to plan, track, and manage your work in a beautifully intuitive environment.
Discord to Google BigQueryDiscord is an all-in-one voice and text chat for gamers.
Questions
Fibery and Google BigQuery, answered
What can start an automation from Fibery?
Any of Fibery's 3 triggers in the catalog, including Entity Updated (Or Created), New Entity and New Type. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Google BigQuery when something happens in Fibery?
Any of Google BigQuery's 10 actions, including Create Row, Create Rows, Get Rows for Job Completed and Update Row(s). Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Google BigQuery to Fibery?
Yes. When something happens in Google BigQuery, your agent can act in Fibery too. This page covers both directions: Google BigQuery's triggers and Fibery's actions are listed here as well.
Do I have to build a connector for Fibery or Google BigQuery?
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.
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.