Integration
Connect MRPLN to Amazon Rekognition
When Customer Updated (instant) fires in MRPLN, your agent runs Check Image for Unsafe Content in Amazon Rekognition. 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 Amazon Rekognition 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 Amazon Rekognition
When Customer Updated (instant) in MRPLN
then Check Image for Unsafe Content in Amazon Rekognition
When New Customer in MRPLN
then Detect Faces in Image in Amazon Rekognition
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 Amazon Rekognition
Triggers and actions 6 triggers · 12 actions
Trigger
Campaign Launched (instant)Fires instantly when a campaign is launched (campaign.launched).
Trigger
Customer Opted Out (instant)Fires instantly when a customer opts out (customer.opted_out).
Trigger
Customer Updated (instant)Triggers instantly when a customer is updated in MRPLN.
Trigger
Message Sent (instant)Fires instantly when a message is queued or scheduled for a customer (message.sent).
Trigger
New CustomerTriggers when a new customer is added.
Trigger
New Customer (instant)Triggers instantly when a customer is created in MRPLN.
Action
Create CustomerCreates a new customer in MRPLN.
Action
Find CustomerFinds a customer by email address. Returns the first matching customer, or found=false when none match.
Action
Find Customer by PhoneFind a customer by their SMS phone number.
Action
Find Customer by WhatsAppFind a customer by their WhatsApp number.
Action
List TemplatesList the approved message templates for a channel.
Action
Send Message to CustomerSend an email, SMS, or WhatsApp message to a customer using an approved template
Action
Trigger CampaignLaunch a campaign that was built in MRPLN.
Action
Update CustomerUpdates an existing customer in MRPLN.
Action
Check Image for Unsafe ContentChecks an image stored in S3 for explicit, violent or otherwise unsafe content and returns any moderation labels found.
Action
Detect Faces in ImageFinds the faces in an image stored in S3 and returns, for each, its estimated age range, emotions and attributes such as glasses or a smile.
Action
Detect Objects and Scenes in ImageReturns the objects, scenes and concepts found in an image stored in S3, each with a confidence score.
Action
Detect Text in ImageReads the words and lines of text that appear in an image stored in S3.
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
More from MRPLN
MRPLN to LinkedInLinkedIn is a professional networking platform enabling job seekers, companies, and thought leaders to...
MRPLN to FacebookFacebook is a social media and advertising platform used by individuals and businesses to connect, share...
MRPLN to AnthropicAnthropic builds Claude, a family of large language models.
MRPLN to SupabaseSupabase is an open-source backend-as-a-service providing a Postgres database, authentication, storage, and...
MRPLN to ElevenLabsElevenLabs is an AI audio research and deployment company.
MRPLN to PushoverPushover sends real-time push notifications to your phone, tablet, desktop, and watch.
More into Amazon Rekognition
HubSpot to Amazon RekognitionHubSpot is your all-in-one stop for all of your marketing software needs.
Salesforce to Amazon RekognitionSalesforce is a leading enterprise customer relationship management (CRM) platform.
Slack to Amazon RekognitionSlack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...
Google Sheets to Amazon RekognitionGoogle Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.
Gmail to Amazon RekognitionGmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...
Google Calendar to Amazon RekognitionGoogle Calendar is a time management tool providing scheduling features, event reminders, and integration...
Questions
MRPLN and Amazon Rekognition, 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 Amazon Rekognition when something happens in MRPLN?
Any of Amazon Rekognition's 4 actions, including Check Image for Unsafe Content, Detect Faces in Image, Detect Objects and Scenes in Image and Detect Text in Image. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Amazon Rekognition to MRPLN?
Amazon Rekognition has no triggers in the catalog today, so automations start in MRPLN. If you need the other direction, ask: your agent reads Amazon Rekognition's API documentation and adds it.
Do I have to build a connector for MRPLN or Amazon Rekognition?
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 Amazon Rekognition 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.