Integration
Connect Langfuse to Mailtrap
When New Trace fires in Langfuse, your agent runs Add Contact field in Mailtrap. 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 Mailtrap 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 Mailtrap
When New Trace in Langfuse
then Add Contact field in Mailtrap
When New Trace in Langfuse
then Add Contact list in Mailtrap
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 Mailtrap
Triggers and actions 1 trigger · 31 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
Add Contact fieldCreates a new custom contact field in Mailtrap Email Marketing. An account can have up to 40 contact fields.
Action
Add Contact listCreates a new contact list in Mailtrap Email Marketing.
Action
Add Email campaignCreate a new email marketing campaign.
Action
Delete ContactDeletes a Mailtrap contact by its ID (UUID) or email address.
Action
Delete Contact listDeletes an existing contact list.
Action
Delete Email campaignDelete an email campaign by ID.
Action
Delete SuppressionRemove a suppression record by ID so the address can receive email again.
Action
Get ContactFetch a single contact by ID or email.
Action
Get Contact listFetch a single contact list by ID.
Action
Get Email campaignFetch a single email campaign by ID.
Action
Get ListsReturns all contact lists in the Mailtrap account, optionally filtered by a name prefix.
Action
List Contact fieldsLists every contact field (built-in and custom) defined in the Mailtrap account.
Action
List ContactsReturns the account's contacts, optionally filtered by contact list, subscription status, or email text.
Action
Send EmailSends an email via Mailtrap
Action
Update ContactAllows you to update Contact in Mailtrap
Action
Update Contact listRename/update a contact list.
Action
Update Email campaignUpdate an existing email campaign's content or settings.
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 Mailtrap, 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 Mailtrap when something happens in Langfuse?
Any of Mailtrap's 17 actions, including Send Email, Update Contact, Update Contact list and Update Email campaign. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Mailtrap to Langfuse?
Mailtrap has no triggers in the catalog today, so automations start in Langfuse. If you need the other direction, ask: your agent reads Mailtrap's API documentation and adds it.
Do I have to build a connector for Langfuse or Mailtrap?
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 Mailtrap 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.