Integration
Connect MRPLN to Wasi
When Customer Updated (instant) fires in MRPLN, your agent runs Add Contact in Wasi. 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 MRPLN and Wasi 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 MRPLN can start in Wasi
When Customer Updated (instant) in MRPLN
then Add Contact in Wasi
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 MRPLN and Wasi
Triggers and actions 6 triggers · 20 actions
- Campaign Launched (instant)
Fires instantly when a campaign is launched (campaign.launched).
- Customer Opted Out (instant)
Fires instantly when a customer opts out (customer.opted_out).
- Customer Updated (instant)
Triggers instantly when a customer is updated in MRPLN.
- Message Sent (instant)
Fires instantly when a message is queued or scheduled for a customer (message.sent).
- New Customer
Triggers when a new customer is added.
- New Customer (instant)
Triggers instantly when a customer is created in MRPLN.
- Create Customer
Creates a new customer in MRPLN.
- Find Customer
Finds a customer by email address. Returns the first matching customer, or found=false when none match.
- Find Customer by Phone
Find a customer by their SMS phone number.
- Find Customer by WhatsApp
Find a customer by their WhatsApp number.
- List Templates
List the approved message templates for a channel.
- Send Message to Customer
Send an email, SMS, or WhatsApp message to a customer using an approved template
- Trigger Campaign
Launch a campaign that was built in MRPLN.
- Update Customer
Updates an existing customer in MRPLN.
- Add Contact
Registers a contact from a client in Wasi, creating the client if they do not already exist, and optionally associates them with a property.
- Add property
Creates a new property listing in Wasi and returns its id.
- Add task
Creates a task (call, meeting, visit, etc.) in a Wasi user's schedule.
- Delete task
Deletes a task from a user's schedule in Wasi, identified by its id and assigned date.
- Get client
Returns a single Wasi client, including contact details, location, client types and tags.
- Get property
Returns a single Wasi property by its id, including its location, prices, images and features.
- Get task
Returns one task from the Wasi schedule, including its type, status, assigned user and linked clients and properties.
- Get user
Returns a Wasi user (employee) by id, including name, email, role and contact details.
- List tasks
Returns the tasks on a user's Wasi schedule between a start and end date, optionally limited to one task type.
- List users
Returns all users (agents and administrators) of your Wasi company, with their email, type and profile details.
- Update property
Updates an existing Wasi property. Only the fields you fill in are changed.
- Update task
Updates an existing task in the Wasi schedule, changing only the fields you fill in.
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
MRPLN and Wasi, answered
What can start an automation from MRPLN?
Any of MRPLN's 6 triggers in the catalog, including Customer Updated (instant), New Customer, New Customer (instant) and Campaign Launched (instant). Describe the moment in plain language and your agent picks the right one.
What can your agent do in Wasi when something happens in MRPLN?
Any of Wasi's 12 actions, including Update property, Update task, Add Contact and Add property. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Wasi to MRPLN?
Wasi has no triggers in the catalog today, so automations start in MRPLN. If you need the other direction, ask: your agent reads Wasi's API documentation and adds it.
Do I have to build a connector for MRPLN or Wasi?
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 MRPLN and Wasi 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.