Integration
Connect Auphonic to Azure OpenAI
When New Production fires in Auphonic, your agent runs Send Chat Message in Azure OpenAI. 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 Auphonic and Azure OpenAI 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 Auphonic can start in Azure OpenAI
When New Production in Auphonic
then Send Chat Message in Azure OpenAI
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 Auphonic and Azure OpenAI
Triggers and actions 1 trigger · 18 actions
- New Production
Fires when a production created from the chosen preset finishes processing (Done or Error).
- Add production using simple API
Creates a singletrack Auphonic production in one request: sets the input audio, metadata and audio processing options, optionally based on a preset, and optionally starts processing right away.
- Create Preset
Creates a new Auphonic preset with the given name and returns its UUID.
- Create Production
Creates a new Auphonic audio production, optionally from a preset, with metadata, output files, algorithms, chapters and outgoing services, and optionally starts processing right away.
- Delete production
Delete a production.
- Get preset
Get the full details of one Auphonic preset: name, audio algorithms, output files, outgoing services, metadata and more.
- Get production
Returns the full details of one Auphonic production: status, metadata, algorithms, output files, outgoing services, chapters and audio statistics.
- Get production status
Returns the current processing status code and status text of an Auphonic production.
- Get user
Returns the account information and notification settings of the connected Auphonic user, including available credits.
- List productions
Lists the productions in the connected Auphonic account, newest first.
- Start production
Starts audio post production processing for an existing Auphonic production.
- Stop production
Stops a production that is currently processing in Auphonic.
- Update production
Update a production.
- Upload production file
Uploads an audio/video file and/or a cover image to an existing Auphonic production.
- Create Response
Sends a message to a model deployment in your Azure OpenAI resource through the Responses API and returns the reply. Pass the ID of an earlier response to continue that conversation.
- Generate Embedding
Turns a piece of text into an embedding vector using an embedding model deployment in your Azure OpenAI resource, for semantic search, clustering or similarity matching.
- Get Response
Returns a stored response from your Azure OpenAI resource by its ID, including its status and reply text.
- List Deployments
Returns the model deployments in your Azure OpenAI resource, with each deployment's name, model and status.
- Send Chat Message
Sends a message to a chat model deployment in your Azure OpenAI resource and returns the model's reply, using the Chat Completions API.
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
Auphonic and Azure OpenAI, answered
What can start an automation from Auphonic?
Any of Auphonic's 1 trigger in the catalog, including New Production. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Azure OpenAI when something happens in Auphonic?
Any of Azure OpenAI's 5 actions, including Create Response, Send Chat Message, Generate Embedding and Get Response. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Azure OpenAI to Auphonic?
Azure OpenAI has no triggers in the catalog today, so automations start in Auphonic. If you need the other direction, ask: your agent reads Azure OpenAI's API documentation and adds it.
Do I have to build a connector for Auphonic or Azure OpenAI?
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 Auphonic and Azure OpenAI 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.