--- title: "Connect Airbrake and Google BigQuery - APIANT.ai" description: "When \"New error\" fires in Airbrake, your agent runs \"Create Row\" in Google BigQuery." canonical: "https://apiant.ai/connect/airbrake-to-google-bigquery" --- # Connect Airbrake and Google BigQuery When **New error** fires in [Airbrake](https://apiant.ai/connections/airbrake), your agent runs **Create Row** in [Google BigQuery](https://apiant.ai/connections/google-bigquery), or **New Job Completed** in Google BigQuery to **Record deploy** in Airbrake. Describe the whole flow and it is built, tested on every scenario and kept running. Airbrake **1** trigger Airbrake **14** actions Google BigQuery **4** triggers Google BigQuery **10** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Airbrake and Google BigQuery 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 Airbrake and Google BigQuery can do together ### From Airbrake to Google BigQuery - When **New error** in Airbrake then **Create Row** in Google BigQuery - When **New error** in Airbrake then **Create Rows** in Google BigQuery ### From Google BigQuery to Airbrake - When **New Job Completed** in Google BigQuery then **Record deploy** in Airbrake - When **New Row** in Google BigQuery then **Get project** in Airbrake 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 Airbrake and Google BigQuery ## Triggers and actions 5 triggers · 24 actions - Trigger **New error** Triggered when any new error is reported. - Action **Create notice** Submit a new error notice to Airbrake — report an error from an automation. - Action **Delete error group** Delete/resolve an Airbrake error group by id. - Action **Get error group** Fetch details for a single error group. - Action **Get project** Fetch details for a single project by ID. - Action **List activities** List the audit-log activities for an Airbrake project — deploys, mutes, resolves, etc. - Action **List deploys** List recorded deploys for an Airbrake project. - Action **List error groups** List error groups (aggregated errors) for a project. - Action **List notices** List individual notices (occurrences) for an error group. - Action **List projects** List all projects accessible to the authenticated user key. - Action **List source maps** List the uploaded source maps for an Airbrake project. - Action **Mute error group** Mute an error group so it no longer triggers notifications. - Action **Record deploy** Record a new deployment for a project (environment, revision, version, etc.). - Action **Show deploy** Retrieve a single Airbrake deploy by id. - Action **Unmute error group** Unmute a previously muted error group to re-enable notifications. - 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. ## Each app on its own - [ **Airbrake** Airbrake collects errors generated by other applications, and aggregates the results for review.](https://apiant.ai/connections/airbrake) - [ **Google BigQuery** BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your...](https://apiant.ai/connections/google-bigquery) Reviews ## What our customers say ## More from Airbrake - [ **Airbrake to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/airbrake-to-hubspot) - [ **Airbrake to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/airbrake-to-stripe) - [ **Airbrake to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/airbrake-to-quickbooks-online) - [ **Airbrake to Pipedrive** Pipedrive is a sales CRM and pipeline management tool.](https://apiant.ai/connect/airbrake-to-pipedrive) - [ **Airbrake to Asana** Asana is a collaborative information manager for workspace.](https://apiant.ai/connect/airbrake-to-asana) - [ **Airbrake to JIRA** Atlassian JIRA Cloud — issue tracking and project management.](https://apiant.ai/connect/airbrake-to-jira) ## More into Google BigQuery - [ **Gmail to Google BigQuery** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-google-bigquery) - [ **ActiveCampaign to Google BigQuery** ActiveCampaign is a marketing automation, email marketing, and CRM platform.](https://apiant.ai/connect/activecampaign-to-google-bigquery) - [ **Airtable to Google BigQuery** Organize anything with Airtable, a modern database created for everyone.](https://apiant.ai/connect/airtable-to-google-bigquery) - [ **Asana to Google BigQuery** Asana is a collaborative information manager for workspace.](https://apiant.ai/connect/asana-to-google-bigquery) - [ **ClickUp to Google BigQuery** ClickUp is an all-in-one app to plan, track, and manage your work in a beautifully intuitive environment.](https://apiant.ai/connect/clickup-to-google-bigquery) - [ **Discord to Google BigQuery** Discord is an all-in-one voice and text chat for gamers.](https://apiant.ai/connect/discord-to-google-bigquery) Questions ## Airbrake and Google BigQuery, answered ### ### What can start an automation from Airbrake? Any of Airbrake's 1 trigger in the catalog, including New error. 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 Airbrake? 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 Airbrake? Yes. When something happens in Google BigQuery, your agent can act in Airbrake too. This page covers both directions: Google BigQuery's triggers and Airbrake's actions are listed here as well. ### ### Do I have to build a connector for Airbrake 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 Airbrake 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.