Integration
Connect Langfuse and Pipeliner
When something happens in Langfuse or Pipeliner, your agent does the next thing in the other. Describe it 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 Pipeliner to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 Pipeliner can do together
From Langfuse to Pipeliner
When New Trace in Langfuse
then Add account in Pipeliner
When New Trace in Langfuse
then Add contact in Pipeliner
From Pipeliner to Langfuse
When New account in Pipeliner
then Add Comment in Langfuse
When New contact in Pipeliner
then Add Dataset 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 Pipeliner
Triggers and actions 6 triggers · 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.
Trigger
New accountFires when a new Account is created in Pipeliner.
Trigger
New contactFires when a new Contact is created in Pipeliner.
Trigger
New leadFires when a new Lead is created in Pipeliner.
Trigger
New opportunityFires when a new Opportunity is created in Pipeliner.
Trigger
Updated opportunityFires when an Opportunity is updated in Pipeliner.
Action
Add accountAdds a new account
Action
Add contactCreate a new Contact record.
Action
Add leadCreate a new Lead record.
Action
Add noteAdds a note to an account, contact, lead, opportunity, project, quote or custom entity record in Pipeliner.
Action
Add opportunityCreate a new Opportunity record.
Action
Add productCreate a new Product record.
Action
Delete accountDeletes a Pipeliner account by its id.
Action
Delete contactRemove Contact with given id.
Action
Find accounts by nameReturns up to 30 accounts whose name matches the specified name.
Action
Find contacts by emailReturns up to 30 contacts whose primary email matches the specified email.
Action
Get accountRetrieves a single account by its id.
Action
Get contactReturn Contact with given id.
Action
Get leadReturn Lead with given id.
Action
Get opportunityReturn Opportunity with given id.
Action
Update accountUpdate an existing Account record.
Action
Update contactUpdate an existing Contact record.
Action
Update leadUpdate an existing Lead record.
Action
Update opportunityUpdate an existing Opportunity record.
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 Pipeliner, 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 Pipeliner when something happens in Langfuse?
Any of Pipeliner's 18 actions, including Update account, Update contact, Update lead and Update opportunity. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Pipeliner to Langfuse?
Yes. When something happens in Pipeliner, your agent can act in Langfuse too. This page covers both directions: Pipeliner's triggers and Langfuse's actions are listed here as well.
Do I have to build a connector for Langfuse or Pipeliner?
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.
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.