Integration
Connect Float to DeepL
When New Allocation fires in Float, 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 Float and DeepL to do together?
Ask the assistant
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 Float can start in DeepL
When New Allocation in Float
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 Float and DeepL
Triggers and actions 15 triggers · 30 actions
- New Allocation
Triggers when a new allocation is created.
- New Client
Triggers when a new client is added.
- New Department
Triggers when a new department is added.
- New Logged Time
Triggers when a new logged time is created.
- New Milestone
Triggers when a new milestone is created.
- New Person
Triggers when a new person is added.
- New Phase
Triggers when a new phase is created.
- New Project
Triggers when a new project is created.
- New Project Task
Triggers when a new project task is created.
- New Time Off
Triggers when a new time off is created.
- Updated Allocation
Triggers when an allocation is modified.
- Updated Logged Time
Triggers when a logged time is modified.
- Updated Phase
Triggers when a phase is modified.
- Updated Project
Triggers when a project is modified.
- Updated Project Task
Triggers when a project task is modified.
- Create Allocation
Creates a new allocation.
- Create Client
Creates a new client.
- Create Department
Creates a new department.
- Create Logged Time
Creates a new logged time.
- Create Milestone
Creates a new milestone.
- Create Person
Creates a new person.
- Create Phase
Creates a new phase.
- Create Project
Creates a new project.
- Create Project Task
Creates a new project task.
- Create Time Off
Creates a new time off.
- Find Allocation
Finds an allocation by ID.
- Find Logged Time
Finds a logged time by ID.
- Find Person
Finds a person by ID, email, or tag(s).
- Find Project
Finds a project by ID, project_code, or tag(s).
- Update Allocation
Update an existing allocation by ID.
- Update Logged Time
Update an existing logged time entry by ID.
- Update Milestone
Update an existing milestone by ID.
- Update Person
Update an existing person by ID.
- Update Phase
Update an existing phase by ID.
- Update Project
Update an existing project by ID.
- Update Project Task
Update an existing project task by ID.
- 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
Float and DeepL, answered
What can start an automation from Float?
Any of Float's 15 triggers in the catalog, including New Allocation, New Client, New Department and New Logged Time. Describe the moment in plain language and your agent picks the right one.
What can your agent do in DeepL when something happens in Float?
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 Float?
DeepL has no triggers in the catalog today, so automations start in Float. 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 Float 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.
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.