Integration
Connect TriNet to DeepL
When New employee approved fires in TriNet, your agent runs Translate document in DeepL. 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 TriNet and DeepL 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 TriNet can start in DeepL
When New employee approved in TriNet
then Translate document in DeepL
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 TriNet and DeepL
Triggers and actions 1 trigger · 24 actions
- New employee approved
Triggered when a new employee is added. Lists employees from TriNet filtered by employment status.
- Get department id by name
Returns the department's id for the specified department name.
- Get emergency contact name by employee id
Get the person name for an emergency contact of the employee by employee id.
- Search Job code by name
Search job code by job name.
- Search location id by name
Search location id by name of the company's location.
- Search supervisor id by name
Search supervisor id by name.
- TriNet Add Company Department
Add information about a company department in TriNet.
- TriNet Add Company Location
Add information about a company location in TriNet.
- TriNet Add Employee
Add a new employee to TriNet.
- TriNet Create Emergency Contact
Create an emergency contact for an employee in TriNet.
- TriNet Get All Employees
Retrieve details for all employees in the company.
- TriNet Get Employee Details
Retrieve detailed information for a single employee by employee id.
- TriNet Get Employee Pay Info
Retrieve pay information for an employee.
- TriNet Get Employee Roles
Retrieve role information for an employee.
- TriNet Update Employee Name
Update an employee's name details in TriNet.
- TriNet Update Personal Identification
Update an employee's personal identification details in TriNet.
- Check API Usage
Returns your DeepL API character usage and limits for the current billing period, with a per-product breakdown on Pro plans.
- Create Glossary
Creates a glossary of source and target term pairs for one language pair, which can then be used in translations.
- Delete Glossary
Deletes a glossary and all of its entries. Deleted glossaries cannot be recovered.
- Edit Glossary
Renames a DeepL multilingual glossary and/or replaces the entries of one of its language-pair dictionaries.
- Find Languages
Returns the languages DeepL can translate from or into, optionally narrowed to those whose name or code matches your text.
- Get Document Status
Returns the translation status of a document uploaded with Translate document: queued, translating, done or error, with time remaining and billed characters.
- Improve Text
Improves a piece of text with DeepL Write, correcting spelling and grammar and rephrasing it for clarity, optionally in a chosen writing style or tone.
- Translate document
Uploads a document to DeepL for translation and returns the document ID and key used to check its status and download the translated file.
- Translate Text
Translates text into a target language with DeepL, with options for formality, glossaries, style rules, translation memories and tag handling.
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
TriNet and DeepL, answered
What can start an automation from TriNet?
Any of TriNet's 1 trigger in the catalog, including New employee approved. Describe the moment in plain language and your agent picks the right one.
What can your agent do in DeepL when something happens in TriNet?
Any of DeepL's 9 actions, including Create Glossary, Check API Usage, Edit Glossary and Find Languages. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from DeepL to TriNet?
DeepL has no triggers in the catalog today, so automations start in TriNet. If you need the other direction, ask: your agent reads DeepL's API documentation and adds it.
Do I have to build a connector for TriNet or DeepL?
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 TriNet and DeepL 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.