Integration
Connect Google BigQuery and PandaDoc
When New Job Completed fires in Google BigQuery, your agent runs Create contact in PandaDoc, or Document completed in PandaDoc to Get Rows for Job Completed 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 PandaDoc to do together?
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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 PandaDoc can do together
From Google BigQuery to PandaDoc
When New Job Completed in Google BigQuery
then Create contact in PandaDoc
When New Row in Google BigQuery
then Update contact in PandaDoc
From PandaDoc to Google BigQuery
When Document completed in PandaDoc
then Get Rows for Job Completed in Google BigQuery
When Document updated in PandaDoc
then Create Row in 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 PandaDoc
Triggers and actions 7 triggers · 29 actions
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.
Trigger
Document completedPolling trigger. Fires when a document reaches completed status. Dedup by document id.
Trigger
Document completed (instant)Instant trigger: fires when a PandaDoc document reaches the completed state. Self-registering — APIANT creates the PandaDoc webhook when you turn the automation on and removes it when you turn it off, so there is nothing to paste. Only document_state_changed events with status document.completed are passed through; each fires once with the document id, name, status, created/modified/completed timestamps and the full document object.
Trigger
Document updatedPolling trigger. Fires when a document is created or changes status. Dedup by document id + date_modified.
Action
Change document statusManually changes a document's status (e.g. to mark paid or voided). Only certain transitions are allowed.
Action
Create contactCreates a new contact.
Action
Create document from templateCreates a new document from a template, with recipients, tokens, fields, and pricing tables.
Action
Create document linkGenerates a shareable session link for a recipient to view/sign a document.
Action
Delete contactDeletes a contact by ID.
Action
Delete documentDeletes a document by ID.
Action
Download document PDFReturns the document as a PDF file. Use watermark options as needed.
Action
Find document by nameFinds a document by name and emits its ID. An error occurs if none or more than one is found.
Action
Get document detailsRetrieves detailed data for a single document by ID, including recipients, tokens, fields, and metadata.
Action
Get document entered dataEmits arrays of field and token names and values for the specified document.
Action
Get document statusReturns the current status of a document by ID.
Action
Get template detailsRetrieves details for a template by ID, including roles, fields, tokens, and pricing tables.
Action
List contactsLists contacts in the workspace.
Action
List documentsLists documents, optionally filtered by status, template, folder, or search query.
Action
List foldersLists document folders.
Action
List membersLists workspace members (users).
Action
List templatesLists available document templates.
Action
Send documentMoves a draft document to sent status, optionally emailing recipients with a subject and message. Set silent to suppress notifications.
Action
Update contactUpdates an existing contact by 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
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Questions
Google BigQuery and PandaDoc, 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 PandaDoc when something happens in Google BigQuery?
Any of PandaDoc's 19 actions, including Create contact, Create document from template, Create document link and Send document. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from PandaDoc to Google BigQuery?
Yes. When something happens in PandaDoc, your agent can act in Google BigQuery too. This page covers both directions: PandaDoc's triggers and Google BigQuery's actions are listed here as well.
Do I have to build a connector for Google BigQuery or PandaDoc?
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 PandaDoc 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.