--- title: "Connect Google BigQuery and ServiceM8 - APIANT.ai" description: "When \"New Job Completed\" fires in Google BigQuery, your agent runs \"Create Job\" in ServiceM8." canonical: "https://apiant.ai/connect/google-bigquery-to-servicem8" --- # Connect Google BigQuery and ServiceM8 When **New Job Completed** fires in [Google BigQuery](https://apiant.ai/connections/google-bigquery), your agent runs **Create Job** in [ServiceM8](https://apiant.ai/connections/servicem8), or **New Job** in ServiceM8 to **Get Rows for Job Completed** 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 ServiceM8 **2** triggers ServiceM8 **23** 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 ServiceM8 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 ServiceM8 can do together ### From Google BigQuery to ServiceM8 - When **New Job Completed** in Google BigQuery then **Create Job** in ServiceM8 - When **New Row** in Google BigQuery then **Add company contact** in ServiceM8 ### From ServiceM8 to Google BigQuery - When **New Job** in ServiceM8 then **Get Rows for Job Completed** in Google BigQuery - When **Job Queued** in ServiceM8 then **Create Row** 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 ServiceM8 ## Triggers and actions 6 triggers · 33 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 **Job Queued** Triggers when a Job is assigned to a Queue. - Trigger **New Job** Triggers when a new job is created. - Action **Add attachment** Uploads a file and attaches it to a job (or another ServiceM8 record), so it appears in that record's diary. - Action **Add company contact** Creates a new contact person on a ServiceM8 client (company), such as a billing or job contact. - Action **Add job allocation** Allocates a ServiceM8 job to a staff member, optionally with a scheduled date and allocation window. - Action **Add job material** Adds a material line item to a ServiceM8 job, with quantity, pricing and tax details. - Action **Add job payment** Records a payment against a ServiceM8 job, with its amount, method, date and optional note. - Action **Add note** Adds a note to a job, client or other ServiceM8 record. - Action **Create Client** Creates a new client (company) record in ServiceM8. - Action **Create Job** Creates a new job in ServiceM8, optionally linked to a client, category and queue, and returns the new job's UUID. - Action **Delete client** Deletes (archives) a client in ServiceM8. - Action **Delete job** Deletes (archives) a job in ServiceM8. The job is hidden in the app and can be restored later. - Action **Get attachment** Returns the details of a single file attachment (photo, PDF or other file) by its UUID. - Action **Get client** Returns one ServiceM8 client (company) record by its UUID, including its name, address and billing details. - Action **Get job** Returns a single ServiceM8 job by its UUID, including its status, client, address and totals. - Action **Get Job Allocation** Returns a single job allocation — which staff member a job is allocated to, its window, dates and status. - Action **List clients** Returns the clients (companies) in your ServiceM8 account, optionally narrowed by a filter. - Action **List job materials** Returns the materials (line items) recorded on jobs, optionally filtered, for example to a single job. - Action **List job payments** Returns the payments recorded against jobs, optionally filtered (for example to a single job). - Action **List Job Queues** Returns the job queues set up in the ServiceM8 account. - Action **List jobs** Returns the jobs in your ServiceM8 account, optionally narrowed by a filter. - Action **List notes** Returns the notes in your ServiceM8 account, optionally filtered and sorted. - Action **List staff members** Returns the staff members in your ServiceM8 account, optionally narrowed by a filter. - Action **Update client** Updates an existing client (company) in ServiceM8. Only the fields you fill in are changed. - Action **Update job** Updates an existing job in ServiceM8, changing only the fields you fill in. ## 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) - [ **ServiceM8** ServiceM8 is a field service app and small business management platform for your computer, iPhone and iPad.](https://apiant.ai/connections/servicem8) 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 ServiceM8 - [ **HubSpot to ServiceM8** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-servicem8) - [ **Salesforce to ServiceM8** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-servicem8) - [ **Google Sheets to ServiceM8** Google Sheets](https://apiant.ai/connect/google-sheets-to-servicem8) - [ **Gmail to ServiceM8** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-servicem8) - [ **Google Calendar to ServiceM8** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-servicem8) - [ **Google Drive to ServiceM8** Google Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...](https://apiant.ai/connect/google-drive-to-servicem8) Questions ## Google BigQuery and ServiceM8, 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 ServiceM8 when something happens in Google BigQuery? Any of ServiceM8's 23 actions, including Create Client, Create Job, Update client and Update job. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from ServiceM8 to Google BigQuery? Yes. When something happens in ServiceM8, your agent can act in Google BigQuery too. This page covers both directions: ServiceM8's triggers and Google BigQuery's actions are listed here as well. ### ### Do I have to build a connector for Google BigQuery or ServiceM8? 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 ServiceM8 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.