Integration
Connect AskNicely to Cloud-RF
When New Response fires in AskNicely, 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 AskNicely 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 AskNicely can start in Cloud-RF
When New Response in AskNicely
then Analyze interference in Cloud-RF
When New Response in AskNicely
then Calculate area coverage 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 AskNicely and Cloud-RF
Triggers and actions 1 trigger · 16 actions
Trigger
New ResponseTriggers when a customer answers an AskNicely survey with a score or comment.
Action
Add PersonAdds a contact to AskNicely, or updates them if they already exist, without sending a survey.
Action
Deactivate ContactSets a contact inactive so they get no more surveys; the contact is kept and can be re-added later.
Action
Get ContactFinds a contact by email address, or by another field such as id or a custom property.
Action
Get Daily StatisticsReturns historical survey statistics (sent, opened, responded, NPS) for a year, month or day, optionally for one segment.
Action
Get NPS ScoreReturns your Net Promoter Score calculated over the last N days.
Action
Get Sent StatisticsReturns how many surveys were sent, delivered, opened and answered over the last N days, with promoter/passive/detractor counts.
Action
List ResponsesReturns survey responses (score, comment, contact) received since a given time, a page at a time.
Action
List Unsubscribed ContactsReturns the contacts who unsubscribed from your AskNicely surveys, a page at a time.
Action
Send SurveyAdds or updates a contact and sends them a survey, following your AskNicely contact rules.
Action
Analyze interferenceRun an interference analysis between transmitters/networks to identify areas of radio interference.
Action
Calculate area coverageRun a point-to-multipoint radio coverage (heatmap) calculation for a transmitter over an area, returning map layer URLs and metadata.
Action
Calculate HF area coverageRun an HF (high-frequency) point-to-multipoint area coverage calculation accounting for ionospheric propagation.
Action
Calculate path profileRun a point-to-point path profile / link budget calculation between a transmitter and receiver.
Action
Calculate points coverageRun coverage calculations to a defined set of receiver points from a transmitter.
Action
Check network coverageCheck whether a given receiver location is within a network's calculated coverage.
Action
Merge coverage mapsMerge 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
AskNicely and Cloud-RF, answered
What can start an automation from AskNicely?
Any of AskNicely's 1 trigger in the catalog, including New Response. 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 AskNicely?
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 AskNicely?
Cloud-RF has no triggers in the catalog today, so automations start in AskNicely. 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 AskNicely 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 AskNicely 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.