Integration
Connect Google BigQuery and Text Request
When New Job Completed fires in Google BigQuery, your agent runs Add group message in Text Request, or New Contact in Text Request to Create Row in Google BigQuery. 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 Text Request 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 and Text Request can do together
From Google BigQuery to Text Request
When New Job Completed in Google BigQuery
then Add group message in Text Request
From Text Request to Google BigQuery
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 Text Request
Triggers and actions 6 triggers · 33 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.
- New Contact
Triggers when a new contact is added to a dashboard.
- New Message
Triggers when a text message is sent or received on a dashboard.
- Add custom field
Creates a new custom field on a Text Request dashboard, which can then be set on contacts.
- Add group message
Sends a group text message to selected groups and/or phone numbers from a dashboard, immediately, at a scheduled time, or on a recurring schedule.
- Add keyword
Creates a new keyword on a Text Request dashboard, with an optional automatic reply sent when a contact texts it.
- Add payment
Sends a payment request text to a contact for the given amount and returns the new payment.
- Add user
Creates a new user in your Text Request account with the given name, email and password, optionally granting administrator rights or dashboard permissions.
- Create Group
Creates a contact group on a dashboard.
- Create Tag
Creates a contact tag on a dashboard.
- Delete Contact
Deletes a contact from a dashboard by their phone number.
- Delete group
Deletes a group from a dashboard. Contacts in the group are kept.
- Delete tag
Deletes a contact tag from a Text Request dashboard. Contacts that carried the tag are not deleted.
- Find Contacts
Finds contacts on a dashboard by name, phone number, tag or group.
- Get Contact
Returns one contact on a dashboard by their phone number, including name, tags, groups, custom fields and message counts.
- Get dashboard
Returns a dashboard (texting line) with its name, phone number and time zone.
- List custom fields
Returns all custom fields defined for a Text Request dashboard (texting line), with each field's id and name.
- List Dashboards
Returns every dashboard (texting phone line) in your Text Request account, with its ID, name and phone number.
- List Groups
Returns all contact groups on a dashboard.
- List keywords
Returns all keywords on a Text Request dashboard, with their auto-response, linked group and subscriber count.
- List messages
Returns the text messages sent and received on a Text Request dashboard, optionally filtered by date range.
- List scheduled messages
Returns the pending scheduled one-to-one messages for a dashboard, optionally filtered by send time or to recurring messages only.
- List tags
Returns all contact tags defined on a Text Request dashboard, with each tag's name and color.
- List users
Returns the users in your Text Request account, optionally filtered by email or external user ID.
- Send Message
Sends a text message from a dashboard to a contact's phone number, now or at a scheduled time.
- Update group
Renames a group on a Text Request dashboard and updates its notes.
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
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Questions
Google BigQuery and Text Request, 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 Text Request when something happens in Google BigQuery?
Any of Text Request's 23 actions, including Create Group, Create Tag, Send Message and Update group. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Text Request to Google BigQuery?
Yes. When something happens in Text Request, your agent can act in Google BigQuery too. This page covers both directions: Text Request's triggers and Google BigQuery's actions are listed here as well.
Do I have to build a connector for Google BigQuery or Text Request?
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 Text Request 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.