Integration
Connect CrewForm to DeepL
When AI Agent Task Failed fires in CrewForm, 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 CrewForm 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 CrewForm can start in DeepL
When AI Agent Task Failed in CrewForm
then Translate document in DeepL
When AI Agent Task Failed in CrewForm
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 CrewForm and DeepL
Triggers and actions 1 trigger · 19 actions
Trigger
AI Agent Task FailedTriggers when a CrewForm AI agent task fails.
Action
Add agentCreates a new AI agent in your CrewForm workspace with the model, instructions and settings you choose.
Action
Delete agentDeletes an AI agent from your CrewForm workspace.
Action
Delete taskDeletes a task from your CrewForm workspace.
Action
Get agentReturns a single CrewForm agent by its id, including its model, prompt and settings.
Action
Get taskReturns a single CrewForm task by its id, including its title, status, priority, assigned agent and results.
Action
List agentsReturns all AI agents in your CrewForm workspace, with each agent's name, model, prompt and settings.
Action
List tasksReturns the tasks in your CrewForm workspace, newest first, optionally only those with a given status.
Action
Send Task to AI AgentCreates a task in CrewForm assigned to an AI agent, which dispatches it to that agent to work on right away. Returns the created task.
Action
Update agentUpdates an existing CrewForm agent's name, model, prompt, temperature, tools, status or configuration. Only the fields you fill in are changed.
Action
Update taskUpdates an existing CrewForm task's title, description, priority, status, assigned agent or team, or metadata.
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
CrewForm and DeepL, answered
What can start an automation from CrewForm?
Any of CrewForm's 1 trigger in the catalog, including AI Agent Task Failed. Describe the moment in plain language and your agent picks the right one.
What can your agent do in DeepL when something happens in CrewForm?
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 CrewForm?
DeepL has no triggers in the catalog today, so automations start in CrewForm. 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 CrewForm 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 CrewForm 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.