Integration
Connect Pneumatic to Microsoft Azure Ai Translator
When Task Completed fires in Pneumatic, your agent runs Break Text into Sentences in Microsoft Azure Ai Translator. 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 Pneumatic and Microsoft Azure Ai Translator 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 Pneumatic can start in Microsoft Azure Ai Translator
When Task Completed in Pneumatic
then Break Text into Sentences in Microsoft Azure Ai Translator
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 Pneumatic and Microsoft Azure Ai Translator
Triggers and actions 4 triggers · 13 actions
- Task Completed
Triggers when some task is completed.
- Task Returned
Triggers when a process is returned to this task.
- Workflow Completed
Triggers when a workflow is completed.
- Workflow Started
Triggers when a new workflow is started.
- Get Task
Get a single task by id.
- Get Template
Get a specific workflow template by id.
- List Tasks
List tasks in the account.
- List Templates
List all workflow templates in the account.
- List Users
List users in the account.
- Run Workflow
Run a New Workflow
- Update Task
Complete a task.
- Break Text into Sentences
Finds the sentence boundaries in a piece of text and returns the length of each sentence.
- Detect Language
Detects the language of a piece of text and reports whether it can be translated or transliterated.
- List Supported Languages
Returns the languages Translator supports for translation, transliteration and dictionary lookup, with their names.
- Look Up Dictionary Translations
Returns alternative translations for a word or short phrase, with part of speech, confidence and back-translations.
- Translate Text
Translates text into one or more target languages, detecting the source language automatically when it is not given.
- Transliterate Text
Converts text from one script to another in the same language, for example Japanese written in Kanji to Latin letters.
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
Pneumatic and Microsoft Azure Ai Translator, answered
What can start an automation from Pneumatic?
Any of Pneumatic's 4 triggers in the catalog, including Task Completed, Workflow Completed, Task Returned and Workflow Started. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Microsoft Azure Ai Translator when something happens in Pneumatic?
Any of Microsoft Azure Ai Translator's 6 actions, including Break Text into Sentences, Detect Language, List Supported Languages and Look Up Dictionary Translations. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Microsoft Azure Ai Translator to Pneumatic?
Microsoft Azure Ai Translator has no triggers in the catalog today, so automations start in Pneumatic. If you need the other direction, ask: your agent reads Microsoft Azure Ai Translator's API documentation and adds it.
Do I have to build a connector for Pneumatic or Microsoft Azure Ai Translator?
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 Pneumatic and Microsoft Azure Ai Translator 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.