Integration
Connect RenderForm to Deepgram
When New Render fires in RenderForm, your agent runs List projects in Deepgram. 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 RenderForm and Deepgram 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 RenderForm can start in Deepgram
When New Render in RenderForm
then List projects in Deepgram
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 RenderForm and Deepgram
Triggers and actions 1 trigger · 18 actions
- New Render
Triggers when a new render result is ready.
- Add template
- Add video
Starts rendering an MP4 or WebM video from a RenderForm video template. Rendering is asynchronous: the result URL is returned immediately with status pending.
- Create Image
Creates an Image from Provided Template
- Delete template
- Get template
Get one template by id including its editable properties.
- Get usage
Returns your RenderForm organization's credit usage, upload storage and subscription plan details.
- List My Templates
Lists your Templates
- List Render Results
List recent render results
- Take Screenshot
Takes a Screenshot
- Update template
- Analyze text
Text intelligence (summary, topics, intents, sentiment).
- Create Deepgram API Request (Speech-To-Text)
Create a Deepgram API speech-to-text request, returning a JSON response
- Create Summary
Create a summary of the content of an audio file.
- Create Transcription (Callback)
Creates a Transcription using a Callback URL
- Create Transcription (Plain Text)
Creates a speech-to-text transcription from audio. Returns a text string of the transcription.
- Generate speech
Text-to-speech.
- List models
Returns metadata on all the latest public Deepgram speech-to-text and text-to-speech models.
- List projects
/v1/projects
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
RenderForm and Deepgram, answered
What can start an automation from RenderForm?
Any of RenderForm's 1 trigger in the catalog, including New Render. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Deepgram when something happens in RenderForm?
Any of Deepgram's 8 actions, including Create Deepgram API Request (Speech-To-Text), Create Summary, Create Transcription (Callback) and Create Transcription (Plain Text). Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Deepgram to RenderForm?
Deepgram has no triggers in the catalog today, so automations start in RenderForm. If you need the other direction, ask: your agent reads Deepgram's API documentation and adds it.
Do I have to build a connector for RenderForm or Deepgram?
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.