Integration
Connect MRPLN to Qstash
When Customer Updated (instant) fires in MRPLN, your agent runs Batch publish messages in Qstash. 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 Qstash 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 Qstash
When Customer Updated (instant) in MRPLN
then Batch publish messages in Qstash
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 Qstash
Triggers and actions 6 triggers · 28 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 queue
Create or update a queue (upsert), setting parallelism.
- Add schedule
Create a cron-based schedule that periodically publishes a message to a destination.
- Add URL group endpoint
Create a URL group or add/update an endpoint within it (fan-out publishing target).
- Batch publish messages
Publish multiple messages to multiple destinations in one call.
- Delete DLQ message
Remove a message from the dead-letter queue.
- Delete message
Cancel a message that has not yet been delivered.
- Delete queue
Delete a queue by name.
- Delete schedule
Delete a schedule by id.
- Delete URL group
Deletes a QStash URL group and all its endpoints. In-flight messages are not removed.
- Enqueue message
Add a message to a named queue for sequential delivery.
- Get DLQ message
Retrieve a single dead-letter queue message by id.
- Get message
Retrieve a queued/published message by id.
- Get queue
Retrieve a queue's configuration and stats by name.
- Get schedule
Retrieve a schedule by id.
- Get URL group
Retrieve a URL group and its endpoints by name.
- List DLQ messages
List messages that failed delivery and landed in the dead-letter queue.
- List queues
List all queues for the account.
- Publish message
Publish a single message to a URL or URL group for QStash to deliver.
- Retry DLQ message
Re-attempt delivery of a dead-lettered message now.
- Update schedule
Updates an existing QStash schedule by replacing its settings (destination, cron, message and delivery options).
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 Qstash, 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 Qstash when something happens in MRPLN?
Any of Qstash's 20 actions, including Update schedule, Add queue, Add schedule and Add URL group endpoint. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Qstash to MRPLN?
Qstash has no triggers in the catalog today, so automations start in MRPLN. If you need the other direction, ask: your agent reads Qstash's API documentation and adds it.
Do I have to build a connector for MRPLN or Qstash?
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 Qstash 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.