Integration
Connect v0.dev to DeepL
When New Chat fires in v0.dev, 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 v0.dev 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 v0.dev can start in DeepL
When New Chat in v0.dev
then Translate document in DeepL
When New Project in v0.dev
then Get Document Status 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 v0.dev and DeepL
Triggers and actions 2 triggers · 21 actions
Trigger
New ChatTriggers when a new chat is created.
Trigger
New ProjectTriggers when a new project is created.
Action
Create ChatCreate a new chat with v0 to generate code, components, or applications.
Action
Create ProjectCreates a new v0 project with an optional description, icon, environment variables, and instructions. Projects help organize chats and manage context.
Action
Delete ChatDeletes an existing v0 chat using its chatId. This action is irreversible and will remove the chat and all associated data.
Action
Delete ProjectDeletes an existing v0 project using its projectId. This action is irreversible and will remove the project and all associated data.
Action
Get chatRetrieve a chat by id.
Action
Get projectRetrieve a project by id.
Action
List chat messagesList messages in a chat.
Action
List chatsList all chats.
Action
List projectsList all projects.
Action
Send MessageSend a message to an existing chat in v0.
Action
Update ChatUpdates the metadata of an existing chat using its chatId. Supports changes to the chat name and privacy setting.
Action
Update ProjectUpdates the metadata of an existing project using its projectId. Supports changes to the project name, description, instructions, and privacy setting.
Action
Check API UsageReturns your DeepL API character usage and limits for the current billing period, with a per-product breakdown on Pro plans.
Action
Create GlossaryCreates a glossary of source and target term pairs for one language pair, which can then be used in translations.
Action
Delete GlossaryDeletes a glossary and all of its entries. Deleted glossaries cannot be recovered.
Action
Edit GlossaryRenames a DeepL multilingual glossary and/or replaces the entries of one of its language-pair dictionaries.
Action
Find LanguagesReturns the languages DeepL can translate from or into, optionally narrowed to those whose name or code matches your text.
Action
Get Document StatusReturns the translation status of a document uploaded with Translate document: queued, translating, done or error, with time remaining and billed characters.
Action
Improve TextImproves a piece of text with DeepL Write, correcting spelling and grammar and rephrasing it for clarity, optionally in a chosen writing style or tone.
Action
Translate documentUploads a document to DeepL for translation and returns the document ID and key used to check its status and download the translated file.
Action
Translate TextTranslates 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
v0.dev and DeepL, answered
What can start an automation from v0.dev?
Any of v0.dev's 2 triggers in the catalog, including New Chat and New Project. Describe the moment in plain language and your agent picks the right one.
What can your agent do in DeepL when something happens in v0.dev?
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 v0.dev?
DeepL has no triggers in the catalog today, so automations start in v0.dev. 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 v0.dev 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.