Integration
Connect Grade.us to Cloud-RF
When New Review fires in Grade.us, your agent runs Analyze interference in Cloud-RF. 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 Grade.us and Cloud-RF 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 Grade.us can start in Cloud-RF
When New Review in Grade.us
then Analyze interference in Cloud-RF
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 Grade.us and Cloud-RF
Triggers and actions 1 trigger · 10 actions
- New Review
Triggered when a new review is added to the selected Grade.us profile.
- Create Mail Recipient
Adds a mail recipient to a Grade.us profile, or updates the recipient if the email address already exists, and returns the recipient's id.
- Get user
Returns one Grade.us user by UUID, including their contact details, permissions, subscription plan, status and linked profiles. An error occurs if the user is not found.
- List users
Returns all users that belong to the connected Grade.us master account, including their contact details, permissions, status, brands and linked profiles.
- Analyze interference
Run an interference analysis between transmitters/networks to identify areas of radio interference.
- Calculate area coverage
Run a point-to-multipoint radio coverage (heatmap) calculation for a transmitter over an area, returning map layer URLs and metadata.
- Calculate HF area coverage
Run an HF (high-frequency) point-to-multipoint area coverage calculation accounting for ionospheric propagation.
- Calculate path profile
Run a point-to-point path profile / link budget calculation between a transmitter and receiver.
- Calculate points coverage
Run coverage calculations to a defined set of receiver points from a transmitter.
- Check network coverage
Check whether a given receiver location is within a network's calculated coverage.
- Merge coverage maps
Merge previously generated coverage calculation outputs into a single combined map layer.
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
Grade.us and Cloud-RF, answered
What can start an automation from Grade.us?
Any of Grade.us's 1 trigger in the catalog, including New Review. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Cloud-RF when something happens in Grade.us?
Any of Cloud-RF's 7 actions, including Analyze interference, Calculate area coverage, Calculate HF area coverage and Calculate path profile. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Cloud-RF to Grade.us?
Cloud-RF has no triggers in the catalog today, so automations start in Grade.us. If you need the other direction, ask: your agent reads Cloud-RF's API documentation and adds it.
Do I have to build a connector for Grade.us or Cloud-RF?
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 Grade.us and Cloud-RF 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.