Integration
Connect Langfuse and MRPLN
When New Trace fires in Langfuse, your agent runs Create Customer in MRPLN, or Customer Updated (instant) in MRPLN to Add Comment in Langfuse. 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 Langfuse and MRPLN 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 Langfuse and MRPLN can do together
From Langfuse to MRPLN
When New Trace in Langfuse
then Create Customer in MRPLN
When New Trace in Langfuse
then Send Message to Customer in MRPLN
From MRPLN to Langfuse
When Customer Updated (instant) in MRPLN
then Add Comment in Langfuse
When New Customer in MRPLN
then Add Dataset Item in Langfuse
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 Langfuse and MRPLN
Triggers and actions 7 triggers · 22 actions
Trigger
New TracePolling trigger: fires for newly created traces (dedup by trace id / timestamp).
Action
Add CommentAdd a comment to a trace/observation/session/prompt object.
Action
Add DatasetCreate a new dataset.
Action
Add Dataset ItemCreate an item (input/expected_output/metadata) in a dataset.
Action
Add PromptCreate a new prompt version (text or chat).
Action
Add ScoreCreate a score attached to a trace/observation/session (numeric, categorical, or boolean).
Action
Delete TraceDelete a trace by id.
Action
Get ProjectReads the Langfuse project that the connection's project-scoped API key belongs to.
Action
Get PromptGet a prompt by name (and optional version/label).
Action
Get TraceGet a single trace by id, including nested observations/scores.
Action
List Dataset ItemsList items in a dataset.
Action
List DatasetsList all datasets in the project.
Action
List PromptsList all prompts in the project.
Action
List ScoresList scores with optional filters.
Action
List TracesList traces with optional filters (user, session, tags, timerange).
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.
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
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Questions
Langfuse and MRPLN, answered
What can start an automation from Langfuse?
Any of Langfuse's 1 trigger in the catalog, including New Trace. Describe the moment in plain language and your agent picks the right one.
What can your agent do in MRPLN when something happens in Langfuse?
Any of MRPLN's 8 actions, including Create Customer, Send Message to Customer, Update Customer and Find Customer. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from MRPLN to Langfuse?
Yes. When something happens in MRPLN, your agent can act in Langfuse too. This page covers both directions: MRPLN's triggers and Langfuse's actions are listed here as well.
Do I have to build a connector for Langfuse or MRPLN?
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 Langfuse and MRPLN 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.