--- title: "Connect Google BigQuery and Postman - APIANT.ai" description: "When \"New Job Completed\" fires in Google BigQuery, your agent runs \"Create Collection\" in Postman." canonical: "https://apiant.ai/connect/google-bigquery-to-postman" --- # Connect Google BigQuery and Postman When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Create Collection** in [Postman](https://apiant.ai/connections/postman), or **New Collection** in Postman to **Create Row** in Google BigQuery. Describe the whole flow and it is built, tested on every scenario and kept running. Google BigQuery **4** triggers Google BigQuery **10** actions Postman **5** triggers Postman **26** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Google BigQuery and Postman to do together? Give your AI client this address. `https://mcp.apiant.ai` One 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.ai` Start Claude Code there, approve the server, and sign in in the browser page it opens. [Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) Example flows ## What Google BigQuery and Postman can do together ### From Google BigQuery to Postman - When **New Job Completed** in Google BigQuery then **Create Collection** in Postman - When **New Row** in Google BigQuery then **Create Environment** in Postman ### From Postman to Google BigQuery - When **New Collection** in Postman then **Create Row** in Google BigQuery - When **New Environment** in Postman then **Create Rows** 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 Postman ## Triggers and actions 9 triggers · 36 actions - Trigger **New Job Completed** Triggers when a BigQuery job in the project finishes, whether it succeeded or failed. - Trigger **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. - 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 Row** Triggers when a row in a table is added or changed, detected by a last-updated timestamp column you name. - Action **Create Row** Creates a new row of data in a table. Note: Does not create a job. - Action **Create Rows** Creates new rows of data in a table (accepts line items). Note: Does not create a job. - Action **Delete Rows** Deletes every row in a table whose match column equals the value you give. - Action **Find One Row** Finds the first row in a table whose column equals the value you give. - Action **Get Rows for Job Completed** Returns the result rows of a finished query job. - Action **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. - Action **List Datasets** Returns the datasets in a Google Cloud project. - Action **List Tables** Returns the tables in a BigQuery dataset. - Action **Run a Query** Runs 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 **New Collection** Triggered when a new collection is created. - Trigger **New Environment** Triggers when you need to list environments. Optionally filter by workspace. - Trigger **New Mock Server** Triggers when you need to list mock servers. Optionally filter by workspace. - Trigger **New Monitor** Triggered when a new monitor is created in Postman. - Trigger **New Workspace** Triggered when a new workspace is created. - Action **Create Collection** Creates a new Postman collection. - Action **Create Environment** Creates a new Postman environment with optional variables. - Action **Create Folder** Creates a folder inside a collection. - Action **Create Mock Server** Creates a new mock server from a collection. - Action **Create Monitor** Creates a new Postman monitor for a collection. - Action **Create Request** Creates a new request in a Postman collection. - Action **Create Workspace** Creates a new Postman workspace. - Action **Delete Collection** Delete a collection by ID. - Action **Delete Environment** Delete an environment by ID. - Action **Delete Mock Server** Delete a mock server by ID. - Action **Delete Monitor** Delete a monitor by ID. - Action **Delete Workspace** Delete a workspace by ID. - Action **Find Collection by ID** Returns a single collection by ID. - Action **Find Environment by ID** Returns a single environment by ID. - Action **Find Mock Server by ID** Returns a single mock server by ID. - Action **Find Monitor by ID** Returns a single monitor by ID. - Action **Find Workspace by ID** Returns a single workspace by ID. - Action **List Collections** List all collections accessible to the API key, optionally filtered by workspace. - Action **List Environments** List all environments accessible to the API key, optionally filtered by workspace. - Action **List Workspaces** List all workspaces accessible to the API key. - Action **Run Monitor** Runs a Postman monitor and returns the run results. - Action **Update Collection** Replaces an existing collection with the name, requests and settings you supply. - Action **Update Environment** Updates an existing environment. - Action **Update Mock Server** Update a mock server's config. - Action **Update Monitor** Updates an existing monitor. - Action **Update Workspace** Updates an existing workspace. ## Each app on its own - [ **Google BigQuery** BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your...](https://apiant.ai/connections/google-bigquery) - [ **Postman** Postman is a platform for building and testing APIs.](https://apiant.ai/connections/postman) Reviews ## What our customers say ## More from Google BigQuery - [ **Google BigQuery to HTML to Image** HTML to Image is a Powerful Image Generation API to convert HTML/CSS to Image and to take screenshots of...](https://apiant.ai/connect/google-bigquery-to-html-to-image) - [ **Google BigQuery to PaperClean** Clean document photos for printing, remove shadows, fix lighting](https://apiant.ai/connect/google-bigquery-to-paperclean) - [ **Google BigQuery to Resend** Resend is the email API for developers. It's designed for you to build, test, and send transactional and...](https://apiant.ai/connect/google-bigquery-to-resend) - [ **Google BigQuery to TypeSafe** TypeSafe's Jev model answers typed questions about a piece of content and tells you how certain it is.](https://apiant.ai/connect/google-bigquery-to-typesafe) - [ **Google BigQuery to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/google-bigquery-to-hubspot) - [ **Google BigQuery to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/google-bigquery-to-salesforce) ## More into Postman - [ **Gmail to Postman** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-postman) - [ **Beanstalk to Postman** Beanstalk is a code hosting and deployment workflow tool for Git and Subversion.](https://apiant.ai/connect/beanstalk-to-postman) - [ **Clockify to Postman** Clockify is a completely free time tracking software for teams.](https://apiant.ai/connect/clockify-to-postman) - [ **crates.io to Postman** Search Rust crates and read crate metadata, versions, owners and download counts from the crates.io package...](https://apiant.ai/connect/crates-io-to-postman) - [ **Grist to Postman** Grist combines the flexibility of a spreadsheet with the robustness of a database to organize your data...](https://apiant.ai/connect/grist-to-postman) - [ **Langfuse to Postman** Langfuse is an open-source LLM engineering platform (GitHub) that helps teams collaboratively debug...](https://apiant.ai/connect/langfuse-to-postman) Questions ## Google BigQuery and Postman, 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 Postman when something happens in Google BigQuery? Any of Postman's 26 actions, including Create Collection, Create Environment, Create Folder and Create Mock Server. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Postman to Google BigQuery? Yes. When something happens in Postman, your agent can act in Google BigQuery too. This page covers both directions: Postman's triggers and Google BigQuery's actions are listed here as well. ### ### Do I have to build a connector for Google BigQuery or Postman? 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 Postman 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.