Build solutions, not workarounds.
What do you want RadiusOS and Nvidia 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 RadiusOS can start in Nvidia
When New Contact in RadiusOS
then Create chat completion in Nvidia
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 RadiusOS and Nvidia
Triggers and actions 1 trigger · 8 actions
- New Contact
Triggers when a new contact is created in RadiusOS.
- Create Contact
Add a new contact to your RadiusOS workspace.
- Create Task
Creates a task in the connected RadiusOS workspace, optionally linked to a contact.
- Move Contact to Stage
Moves a contact to a different pipeline stage in the workspace.
- Create chat completion
Sends a conversation to an NVIDIA-hosted language model and returns the model's reply.
- Create embedding
Creates embedding vectors for one or more pieces of text using an NVIDIA NIM embedding model.
- Generate image
Generates an image from a text prompt with a FLUX model hosted on the NVIDIA API Catalog and returns it as base64.
- List models
Lists the models currently available for inference on the NVIDIA API catalog.
- Rerank documents
Rerank a list of candidate documents against a query for retrieval accuracy via an NVIDIA NIM reranking model.
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
RadiusOS and Nvidia, answered
What can start an automation from RadiusOS?
Any of RadiusOS's 1 trigger in the catalog, including New Contact. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Nvidia when something happens in RadiusOS?
Any of Nvidia's 5 actions, including Create chat completion, Create embedding, Generate image and List models. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Nvidia to RadiusOS?
Nvidia has no triggers in the catalog today, so automations start in RadiusOS. If you need the other direction, ask: your agent reads Nvidia's API documentation and adds it.
Do I have to build a connector for RadiusOS or Nvidia?
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.