Integration
Connect Google BigQuery to PaperClean
When New Job Completed fires in Google BigQuery, your agent runs Clean document image in PaperClean. 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 PaperClean to do together?
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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)Google BigQuery holds the records of your scanned pages — file paths, upload times, corner coordinates — while PaperClean does the actual work on the image. Joining them means a row landing or changing in BigQuery can send the page straight to PaperClean for cropping or cleanup, and the cleaned result can be written back to the table that tracks it.
Example flows
What Google BigQuery can start in PaperClean
When New Job Completed in Google BigQuery
then Clean document image in PaperClean
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 PaperClean
Triggers and actions 4 triggers · 13 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.
- Clean document image
Enhance a scanned document or photo of a paper page — removes shadows, fixes lighting, and sharpens text using a configurable 2-pass enhancement.
- Crop document image
Correct perspective distortion on a photographed document by cropping to four given corner coordinates.
- Process document pipeline
Run perspective-correction crop and cleanup enhancement on a document image in one combined request.
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
Google BigQuery and PaperClean, answered
How does the agent know which document to send to PaperClean?
The BigQuery trigger hands over the row it picked up, so the image path and any corner coordinates on that row go to PaperClean's crop or clean action. If the detail you need sits in another table, a Find One Row step in BigQuery can look it up first.
Can the cleaned image get recorded back in BigQuery?
Yes — after PaperClean returns the enhanced file, the agent can use Update Row(s) to set columns on the matching row, or Create Row to log the result separately. The agent tests every scenario before it runs on live data.
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 PaperClean when something happens in Google BigQuery?
Any of PaperClean's 3 actions, including Clean document image, Crop document image and Process document pipeline. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from PaperClean to Google BigQuery?
PaperClean has no triggers in the catalog today, so automations start in Google BigQuery. If you need the other direction, ask: your agent reads PaperClean's API documentation and adds it.
Do I have to build a connector for Google BigQuery or PaperClean?
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.