Integration
Connect Granola to Azure OpenAI
When New note fires in Granola, 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 Granola 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 Granola can start in Azure OpenAI
When New note in Granola
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 Granola and Azure OpenAI
Triggers and actions 1 trigger · 11 actions
- New note
Triggers when a new note is created in Granola, optionally limited to one folder or space.
- Find notes by keywords
Returns Granola notes whose titles or shared summaries match the keywords you give, or whose meetings included a given participant, optionally narrowed to a folder, space or date range.
- Get note
Returns a single Granola meeting note with its title, owner, attendees, calendar event, folders, summary and, optionally, its transcript.
- Get transcript
Returns the full meeting transcript of a Granola note, one item per spoken segment with speaker, text and start/end times. Works even for very long transcripts that Get note cannot include.
- List folders
Returns every folder in the Granola workspace, with each folder's name, parent folder and space.
- List notes
Returns the Granola meeting notes you have access to, optionally limited to a folder or space or to a created/updated date range.
- List spaces
Returns all the spaces in your Granola workspace, with each space's id and name.
- 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
Granola and Azure OpenAI, answered
What can start an automation from Granola?
Any of Granola's 1 trigger in the catalog, including New note. 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 Granola?
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 Granola?
Azure OpenAI has no triggers in the catalog today, so automations start in Granola. 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 Granola 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 Granola 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.