Integration
Connect AskNicely to Linkup
When New Response fires in AskNicely, your agent runs Fetch web page in Linkup. 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 Linkup 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 Linkup
When New Response in AskNicely
then Fetch web page in Linkup
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 Linkup
Triggers and actions 1 trigger · 15 actions
- New Response
Triggers when a customer answers an AskNicely survey with a score or comment.
- Add Person
Adds a contact to AskNicely, or updates them if they already exist, without sending a survey.
- Deactivate Contact
Sets a contact inactive so they get no more surveys; the contact is kept and can be re-added later.
- Get Contact
Finds a contact by email address, or by another field such as id or a custom property.
- Get Daily Statistics
Returns historical survey statistics (sent, opened, responded, NPS) for a year, month or day, optionally for one segment.
- Get NPS Score
Returns your Net Promoter Score calculated over the last N days.
- Get Sent Statistics
Returns how many surveys were sent, delivered, opened and answered over the last N days, with promoter/passive/detractor counts.
- List Responses
Returns survey responses (score, comment, contact) received since a given time, a page at a time.
- List Unsubscribed Contacts
Returns the contacts who unsubscribed from your AskNicely surveys, a page at a time.
- Send Survey
Adds or updates a contact and sends them a survey, following your AskNicely contact rules.
- Add research
Starts a Linkup research task that investigates a question across the web and produces a sourced answer or structured result. Returns the task id and status; fetch the finished result later with Get research.
- Fetch web page
Fetches a single web page by URL and returns its clean markdown content, optionally with images, the raw page content, or structured data extracted to a schema you provide.
- Get an Answer to Your Question
Asks Linkup a natural-language question and returns an AI-written answer grounded in live web search, along with the web sources it used.
- Get credit balance
Returns the number of credits remaining in your Linkup account.
- Get research
Returns a research task's current status and, once it has finished, its result with sources. Use it to collect the outcome of a task started with Add research.
- Search the Web for Relevant Results (RAG Use Case)
Searches the web for a query and returns ranked source pages with content snippets, ready to feed an AI model as retrieval context.
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 Linkup, 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 Linkup when something happens in AskNicely?
Any of Linkup's 6 actions, including Add research, Fetch web page, Get an Answer to Your Question and Get credit balance. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Linkup to AskNicely?
Linkup has no triggers in the catalog today, so automations start in AskNicely. If you need the other direction, ask: your agent reads Linkup's API documentation and adds it.
Do I have to build a connector for AskNicely or Linkup?
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 Linkup 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.