Integration
Connect Doclift PDF and Google BigQuery
When New PDF Document Generated fires in Doclift PDF, your agent runs Create Row in Google BigQuery, or New Job Completed in Google BigQuery to Get Document Request in Doclift PDF. 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 Doclift PDF 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 Doclift PDF and Google BigQuery can do together
From Doclift PDF to Google BigQuery
When New PDF Document Generated in Doclift PDF
then Create Row in Google BigQuery
When New PDF Document Generated in Doclift PDF
then Create Rows in Google BigQuery
From Google BigQuery to Doclift PDF
When New Job Completed in Google BigQuery
then Get Document Request in Doclift PDF
When New Row in Google BigQuery
then List Document Requests in Doclift PDF
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 Doclift PDF and Google BigQuery
Triggers and actions 5 triggers · 21 actions
Trigger
New PDF Document GeneratedWebhook trigger for Doclift's async document-generation completion callback (POST .../webhooks/doclift, X-Doclift-Signature: sha256=hmac). Delivery URL is configured manually on the external application in the Doclift dashboard — no register/list/delete API exists. Fires once per document_request (all its documents_generations resolved to success/error), payload includes id, tag, type, timestamp, documents_generations[] (generation_status, file{filename,url,size}).
Action
Add Templatecreate a custom (HTML-body) template: title, description, content, orientation, margins, optional variables_attributes. Server forces category=custom.
Action
Add Variablecreate a variable on a custom template: title (unique, naming pattern), description, field_type (text/checkbox/radio/select/collection, default text), seed_value, allowed_values.
Action
Delete Templateremoves a custom template (scope restricted to category=custom, non-archived, same org).
Action
Get Document Requeststatus and documents_generations detail (signed file url, valid 2 hours) for one document request.
Action
Get Templatefull template detail including variables and content (custom templates); works for any published template of the three categories.
Action
List Document Requestslist document generation requests with id, tag, type, status, documents_generations (each with generation_status and file url).
Action
List Templatesreturns published, non-archived templates (custom/fillable_form/workflow) for the organization: id, title, description.
Action
List Variablesall variables of a custom, non-archived template: id, title, description, field_type, allowed_values (no pagination, no seed_value).
Action
Publish Templatemarks a custom template published (usable for document generation).
Action
Unpublish Templatemarks a custom template unpublished.
Action
Update Variableupdate description/field_type/allowed_values/title of a variable; allowed_values replaces the stored array.
Trigger
New Job CompletedTriggers when a BigQuery job in the project finishes, whether it succeeded or failed.
Trigger
New RowTriggers 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.
Trigger
Query Job Completed (With Row Data)Triggers when a SELECT query job in the project finishes successfully, and includes its result rows.
Trigger
Updated RowTriggers when a row in a table is added or changed, detected by a last-updated timestamp column you name.
Action
Create RowCreates a new row of data in a table. Note: Does not create a job.
Action
Create RowsCreates new rows of data in a table (accepts line items). Note: Does not create a job.
Action
Delete RowsDeletes every row in a table whose match column equals the value you give.
Action
Find One RowFinds the first row in a table whose column equals the value you give.
Action
Get Rows for Job CompletedReturns the result rows of a finished query job.
Action
Import DataImports 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.
Action
List DatasetsReturns the datasets in a Google Cloud project.
Action
List TablesReturns the tables in a BigQuery dataset.
Action
Run a QueryRuns a SQL query against a table in BigQuery.
Action
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
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Questions
Doclift PDF and Google BigQuery, answered
What can start an automation from Doclift PDF?
Any of Doclift PDF's 1 trigger in the catalog, including New PDF Document Generated. 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 Doclift PDF?
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 Doclift PDF?
Yes. When something happens in Google BigQuery, your agent can act in Doclift PDF too. This page covers both directions: Google BigQuery's triggers and Doclift PDF's actions are listed here as well.
Do I have to build a connector for Doclift PDF 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 Doclift PDF 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.