# Connect Chatter and Google BigQuery When **New Group** fires in [Chatter](https://apiant.ai/connections/chatter), your agent runs **Create Row** in [Google BigQuery](https://apiant.ai/connections/google-bigquery), or **New Job Completed** in Google BigQuery to **Create Post** in Chatter. Describe the whole flow and it is built, tested on every scenario and kept running. Chatter **2** triggers Chatter **19** 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 Chatter and Google BigQuery to do together? Give your AI client this address. `https://mcp.apiant.ai` 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 Chatter and Google BigQuery can do together ### From Chatter to Google BigQuery - When **New Group** in Chatter then **Create Row** in Google BigQuery - When **New Post** in Chatter then **Create Rows** in Google BigQuery ### From Google BigQuery to Chatter - When **New Job Completed** in Google BigQuery then **Create Post** in Chatter - When **New Row** in Google BigQuery then **Create Post in Group** in Chatter 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 Chatter and Google BigQuery ## Triggers and actions 6 triggers · 29 actions - Trigger **New Group** Triggers when a new Chatter group is created in the org. - Trigger **New Post** Triggers when a new post appears in the authenticated user's news feed. - Action **Add group** Creates a new Chatter group with a name, visibility and optional description and settings. - Action **Add Member to Group** Add a user as a member of a Chatter group. - Action **Create Post** Create a new Chatter feed post on a user's profile feed (defaults to the authenticated user). - Action **Create Post in Group** Create a new Chatter feed post in the specified group. - Action **Delete comment** Deletes a comment from a Chatter post. - Action **Delete group** Deletes a Chatter group. - Action **Delete post** Deletes a Chatter post (feed element). - Action **Find users by name** Returns the Chatter users whose names match the search text. - Action **Get group** Returns the details of a Chatter group, including its name, description, visibility, owner and member count. - Action **Get My User Info** Get profile information for the authenticated Chatter user. - Action **Get user** Returns a Chatter user's profile details, such as name, title, company, photo and follower counts. - Action **Like Feed Element** Like a Chatter feed element (post). - Action **List group members** Returns the members of a Chatter group, with each member's role and user details. - Action **List Groups** List the Chatter groups in the org. - Action **Post Comment** Add a comment to an existing Chatter feed element (post). - Action **Remove member from group** Removes a member from a Chatter group by deleting their group membership. - Action **Search Feed** Search Chatter feed elements matching a text query. - Action **Update group** Updates a Chatter group's name, description, information section, visibility, owner, archive and broadcast settings. Only the values you fill in are changed. - Action **Update post** Edits the text of an existing Chatter post. - 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 - [ **Chatter** Salesforce Chatter — post to feeds, comment, like, manage groups, and read news/group feeds via the...](https://apiant.ai/connections/chatter) - [ **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 Chatter - [ **Chatter to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/chatter-to-hubspot) - [ **Chatter to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/chatter-to-salesforce) - [ **Chatter to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/chatter-to-slack) - [ **Chatter to Google Sheets** Google Sheets](https://apiant.ai/connect/chatter-to-google-sheets) - [ **Chatter to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/chatter-to-gmail) - [ **Chatter to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/chatter-to-google-calendar) ## 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 ## Chatter and Google BigQuery, answered ### ### What can start an automation from Chatter? Any of Chatter's 2 triggers in the catalog, including New Group and New Post. 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 Chatter? 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 Chatter? Yes. When something happens in Google BigQuery, your agent can act in Chatter too. This page covers both directions: Google BigQuery's triggers and Chatter's actions are listed here as well. ### ### Do I have to build a connector for Chatter 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. ### ### 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.