Integration
Connect Direct Mail and Google BigQuery
When New Contact fires in Direct Mail, your agent runs Create Row in Google BigQuery, or New Job Completed in Google BigQuery to Add or Update Contact in Direct Mail. 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 Direct Mail and Google BigQuery to do together?
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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 Direct Mail and Google BigQuery can do together
From Direct Mail to Google BigQuery
When New Contact in Direct Mail
then Create Row in Google BigQuery
From Google BigQuery to Direct Mail
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 Direct Mail and Google BigQuery
Triggers and actions 7 triggers · 19 actions
- New Contact
Triggers when a new contact is added to a Direct Mail address group.
- Sent Campaign
Triggers when an email campaign is sent from a Direct Mail project (a new campaign report appears).
- Updated Contact
Triggers when a contact in a Direct Mail address group is added or changes, including being unsubscribed or hard bounced.
- Add or Update Contact
Adds a contact to a Direct Mail address group; Direct Mail merges it with an existing contact that has the same email address.
- Delete Contact
Removes the contact with the given email address from a Direct Mail address group.
- Find Contact
Finds a contact in a Direct Mail address group by email address.
- Get report
Returns a campaign report from a Direct Mail project, including its delivery statistics and links to recipients, opens and clicks.
- List address groups
Returns every address group (mailing list) in a Direct Mail project, with its name, UUID, blacklist flag and address count.
- List projects
Returns every Direct Mail project your API key has been granted access to.
- List reports
Returns the campaign reports in a Direct Mail project, with send date, status and open, click, bounce and unsubscribe counts.
- Unsubscribe Contact
Marks the contact with the given email address as unsubscribed in a Direct Mail address group.
- Update Contact
Updates the contact with the given email address in a Direct Mail address group.
- 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
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Questions
Direct Mail and Google BigQuery, answered
What can start an automation from Direct Mail?
Any of Direct Mail's 3 triggers in the catalog, including New Contact, Updated Contact and Sent Campaign. 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 Direct Mail?
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 Direct Mail?
Yes. When something happens in Google BigQuery, your agent can act in Direct Mail too. This page covers both directions: Google BigQuery's triggers and Direct Mail's actions are listed here as well.
Do I have to build a connector for Direct Mail 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.
Can my AI client use Direct Mail and Google BigQuery 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.