Integration
Connect Fluent Support and Google BigQuery
When New Customer fires in Fluent Support, your agent runs Create Row in Google BigQuery, or New Job Completed in Google BigQuery to Add Tag to Ticket in Fluent Support. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Fluent Support and Google BigQuery to do together?
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Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)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)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)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)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)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)Example flows
What Fluent Support and Google BigQuery can do together
From Fluent Support to Google BigQuery
When New Customer in Fluent Support
then Create Row in Google BigQuery
From Google BigQuery to Fluent Support
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 Fluent Support and Google BigQuery
Triggers and actions 6 triggers · 20 actions
- New Customer
Triggers when a new customer is added in Fluent Support.
- New Ticket
Triggers when a new support ticket is created in Fluent Support.
- Add Tag to Ticket
Adds an existing tag to a Fluent Support ticket.
- Close Ticket
Closes a Fluent Support ticket.
- Create Customer
Creates a new customer in Fluent Support with their name, email, contact details and an optional note.
- Create Ticket
Creates a new support ticket in Fluent Support for an existing customer.
- Get Ticket
Returns a Fluent Support ticket with its customer, responses and details.
- List Customers
Returns the customers in your Fluent Support help desk, optionally filtered by a search term.
- List Tickets
Returns support tickets from Fluent Support, optionally matching a search term.
- Reopen Ticket
Reopens a closed Fluent Support ticket.
- Reply to Ticket
Adds an agent reply or internal note to a Fluent Support ticket, optionally closing the ticket.
- Update Ticket
Updates one property of a ticket — its priority, customer priority, assigned agent or product.
- New Job Completed
Triggers when a BigQuery job in the project finishes, whether it succeeded or failed.
- 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.
- Query Job Completed (With Row Data)
Triggers when a SELECT query job in the project finishes successfully, and includes its result rows.
- Updated Row
Triggers when a row in a table is added or changed, detected by a last-updated timestamp column you name.
- Create Row
Creates a new row of data in a table. Note: Does not create a job.
- Create Rows
Creates new rows of data in a table (accepts line items). Note: Does not create a job.
- Delete Rows
Deletes every row in a table whose match column equals the value you give.
- Find One Row
Finds the first row in a table whose column equals the value you give.
- Get Rows for Job Completed
Returns the result rows of a finished query job.
- 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.
- List Datasets
Returns the datasets in a Google Cloud project.
- List Tables
Returns the tables in a BigQuery dataset.
- Run a Query
Runs a SQL query against a table in BigQuery.
- Update Row(s)
Updates every row in a table whose match column equals the value you give, setting the columns you choose.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
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Questions
Fluent Support and Google BigQuery, answered
What can start an automation from Fluent Support?
Any of Fluent Support's 2 triggers in the catalog, including New Customer and New Ticket. 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 Fluent Support?
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 Fluent Support?
Yes. When something happens in Google BigQuery, your agent can act in Fluent Support too. This page covers both directions: Google BigQuery's triggers and Fluent Support's actions are listed here as well.
Do I have to build a connector for Fluent Support 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.