# Connect Google BigQuery and Peerdom When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Update Project** in [Peerdom](https://apiant.ai/connections/peerdom), or **New Group** in Peerdom 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 Peerdom **5** triggers Peerdom **24** 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 Peerdom 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 Peerdom can do together ### From Google BigQuery to Peerdom - When **New Job Completed** in Google BigQuery then **Update Project** in Peerdom - When **New Row** in Google BigQuery then **Add Goal** in Peerdom ### From Peerdom to Google BigQuery - When **New Group** in Peerdom then **Create Row** in Google BigQuery - When **New Map** in Peerdom 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 Peerdom ## Triggers and actions 9 triggers · 34 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 Group** Triggered when a new circle is created - Trigger **New Map** Triggers when a new map is created. - Trigger **New Peer** Triggers when a new peer is created. - Trigger **New Project** Triggers when a new project is created. - Trigger **New Role** Triggers when a new role is created. - Action **Add Goal** Create a goal on a role or circle. - Action **Assign Role to Peer** Assigns an existing role to a peer in Peerdom. - Action **Create Group** Creates a new group in Peerdom. - Action **Create Peer** Creates a new peer in Peerdom. - Action **Create Role** Creates a new role in Peerdom. - Action **Delete Group** Delete a group by id. - Action **Delete Peer** Delete a peer by id. - Action **Delete Role** Delete a role by id from a live or draft map. - Action **Get Group** Get a single group by id. - Action **Get Peer** Get a single peer by id. - Action **Get Peer by E-Mail** Get Peer by a Given E-Mail. - Action **Get Project** Get a single project by id. - Action **Get Role** Get a single role by id from a live or draft map. - Action **List Groups** List all groups. - Action **List Maps** List all maps in the tenant. - Action **List Peers** List all peers in the tenant. - Action **List Projects** List all projects. - Action **List Roles** List all roles. - Action **Unassign Peer From Role** Unassign peer from a given role. - Action **Update Goal** Update a goal by id. - Action **Update Group** Updates an existing group (circle, bubble, pod, etc.) in Peerdom. - Action **Update Peer** Updates an existing peer in Peerdom. - Action **Update Project** Update a project by id. - Action **Update Role** Updates an existing role in Peerdom. ## 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) - [ **Peerdom** Peerdom helps teams navigate change with smart org charts that boost collaboration and performance.](https://apiant.ai/connections/peerdom) 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 Peerdom - [ **HubSpot to Peerdom** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-peerdom) - [ **Gmail to Peerdom** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-peerdom) - [ **Google Calendar to Peerdom** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-peerdom) - [ **Google Drive to Peerdom** Google Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...](https://apiant.ai/connect/google-drive-to-peerdom) - [ **Mailchimp to Peerdom** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-peerdom) - [ **ActiveCampaign to Peerdom** ActiveCampaign is a marketing automation, email marketing, and CRM platform.](https://apiant.ai/connect/activecampaign-to-peerdom) Questions ## Google BigQuery and Peerdom, 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 Peerdom when something happens in Google BigQuery? Any of Peerdom's 24 actions, including Create Group, Create Peer, Create Role and Update Goal. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Peerdom to Google BigQuery? Yes. When something happens in Peerdom, your agent can act in Google BigQuery too. This page covers both directions: Peerdom's triggers and Google BigQuery's actions are listed here as well. ### ### Do I have to build a connector for Google BigQuery or Peerdom? 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 Peerdom 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.