Integration
Connect Benetics to Google Cloud Translation
When New Project fires in Benetics, your agent runs Detect Language in Google Cloud Translation. 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 Benetics and Google Cloud Translation to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne 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.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 Benetics can start in Google Cloud Translation
When New Project in Benetics
then Detect Language in Google Cloud Translation
When New Task in Benetics
then Translate Text in Google Cloud Translation
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 Benetics and Google Cloud Translation
Triggers and actions 4 triggers · 28 actions
Trigger
New ProjectTriggers when a new project is created.
Trigger
New TaskTriggers when a new task is created.
Trigger
Updated ProjectTriggers when a project is updated.
Trigger
Updated TaskTriggers when a task is updated.
Action
Add Plan VersionUpload a new version of a plan.
Action
Add Project MemberAdd a member to a project.
Action
Add TaskCreate a new task on a project.
Action
Create ProjectCreates a new project.
Action
Delete DocumentDelete a document.
Action
Delete PlanDelete a plan.
Action
Delete Plan VersionRemove one version of a plan from a project.
Action
Delete ProjectDelete a project.
Action
Delete Project MemberRemove a member from a project.
Action
Delete TaskDelete a task.
Action
Document UploadUpload a document
Action
Get ProjectGet a single project by id.
Action
Get ReportGet a single report by id.
Action
Get TaskGet a single task by id.
Action
List MembersList members of the organization.
Action
List Project MembersList members assigned to a project.
Action
List ProjectsList projects in the organization.
Action
List ReportsList reports for a project.
Action
List TasksList tasks for a project.
Action
Plan UploadUpload a plan
Action
Update DocumentUpdate a document's fields.
Action
Update PlanUpdate a plan's fields.
Action
Update ProjectUpdate a project's fields.
Action
Update TaskUpdate a task's fields.
Action
Upload FileUploads a file to Benetics and returns its file upload id, ready to attach to a plan version or a document.
Action
Detect LanguageDetects the language of a piece of text and returns its language code and confidence.
Action
List Supported LanguagesReturns the languages available for translation, with names shown in the chosen display language.
Action
Translate TextTranslates text into a target language, detecting the source language when it is not given.
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
Reviews
What our customers say
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Questions
Benetics and Google Cloud Translation, answered
What can start an automation from Benetics?
Any of Benetics's 4 triggers in the catalog, including New Project, New Task, Updated Project and Updated Task. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Google Cloud Translation when something happens in Benetics?
Any of Google Cloud Translation's 3 actions, including Detect Language, List Supported Languages and Translate Text. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Google Cloud Translation to Benetics?
Google Cloud Translation has no triggers in the catalog today, so automations start in Benetics. If you need the other direction, ask: your agent reads Google Cloud Translation's API documentation and adds it.
Do I have to build a connector for Benetics or Google Cloud Translation?
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 Benetics and Google Cloud Translation 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.