Integration
Connect MRPLN to Enrich.so
When Customer Updated (instant) fires in MRPLN, your agent runs Email Finder in Enrich.so. 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 Enrich.so 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 Enrich.so
When Customer Updated (instant) in MRPLN
then Email Finder in Enrich.so
When New Customer in MRPLN
then Linkedin Email Finder V2 in Enrich.so
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 Enrich.so
Triggers and actions 6 triggers · 16 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
Email FinderFinds a person's professional email address from their first name, last name and company domain.
Action
Enrich Person LiteReturns a person's professional profile — name, headline, current company, job history, education and skills — from their email address.
Action
Find PersonFinds a person's professional profile (name, headline, current company, job history, education and skills) from their email address.
Action
Linkedin Email Finder V2Finds the personal email address for a person from their LinkedIn profile URL.
Action
Reverse Email AppendLooks up a person's professional profile (name, headline, current company, job history, education and skills) from their email address.
Action
Search CompanySearches Enrich's company database by name and returns matching company names.
Action
Search PeopleSearches for people at a company by its LinkedIn page, ranking them against your ideal customer profile (titles, seniority, skills, location). Returns scored matches, best first.
Action
Verify EmailChecks whether an email address is deliverable and returns a valid, invalid or risky verdict with confidence and mail provider.
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 Enrich.so, 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 Enrich.so when something happens in MRPLN?
Any of Enrich.so's 8 actions, including Email Finder, Enrich Person Lite, Find Person and Linkedin Email Finder V2. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Enrich.so to MRPLN?
Enrich.so has no triggers in the catalog today, so automations start in MRPLN. If you need the other direction, ask: your agent reads Enrich.so's API documentation and adds it.
Do I have to build a connector for MRPLN or Enrich.so?
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 Enrich.so 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.