Integration
Connect Langfuse to Customer.io
When New Trace fires in Langfuse, your agent runs Send transactional email in Customer.io. 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 Customer.io 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 can start in Customer.io
When New Trace in Langfuse
then Send transactional email in Customer.io
When New Trace in Langfuse
then Create Anonymous Event in Customer.io
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 Customer.io
Triggers and actions 1 trigger · 24 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).
Action
Create Anonymous EventRecords an event that isn't tied to a known person yet, such as a page view or an action by a visitor. Include an anonymous id to link the event to a person later.
Action
Create EventRecords an event for a person in Customer.io, which can trigger campaigns or update segments.
Action
Delete personDeletes a person from your Customer.io workspace, identified by their id, email address or Customer.io id.
Action
Get personLook up a customer's attributes by customer_id.
Action
List segmentsList all manual and data-driven segments in the workspace.
Action
Merge peopleMerges a duplicate person into a primary person. The secondary person's attributes and activity move to the primary person, and the secondary person is deleted.
Action
Remove people from segmentRemoves people from a manual segment in Customer.io. Data-driven segments can't be changed this way.
Action
Send API-triggered broadcastTrigger an API-triggered broadcast campaign to send immediately.
Action
Send transactional emailSend a one-off transactional email via a transactional message template.
Action
Suppress personDeletes a person from your Customer.io workspace and suppresses their identifiers so nobody can be added again with the same id, email or phone. Activity attributed to them is redacted.
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
Langfuse and Customer.io, 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 Customer.io when something happens in Langfuse?
Any of Customer.io's 10 actions, including Create Anonymous Event, Create Event, Send API-triggered broadcast and Send transactional email. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Customer.io to Langfuse?
Customer.io has no triggers in the catalog today, so automations start in Langfuse. If you need the other direction, ask: your agent reads Customer.io's API documentation and adds it.
Do I have to build a connector for Langfuse or Customer.io?
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 Customer.io 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.