---
title: "Connect Langfuse and Pipeliner - APIANT.ai"
description: "When \"New Trace\" fires in Langfuse, your agent runs \"Add contact\" in Pipeliner, or \"New account\" in Pipeliner to \"Add Comment\" in Langfuse."
canonical: "https://apiant.ai/connect/langfuse-to-pipeliner"
---

# Connect Langfuse and Pipeliner

When **New Trace** fires in [Langfuse](https://apiant.ai/connections/langfuse), your agent runs **Add contact** in [Pipeliner](https://apiant.ai/connections/pipeliner), or **New account** in Pipeliner to **Add Comment** in Langfuse. Describe the whole flow and it is built, tested on every scenario and kept running.

Langfuse **1** trigger Langfuse **14** actions Pipeliner **5** triggers Pipeliner **18** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want Langfuse and Pipeliner to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One 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.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

Example flows

## What Langfuse and Pipeliner can do together

### From Langfuse to Pipeliner

- When **New Trace** in Langfuse then **Add contact** in Pipeliner
- When **New Trace** in Langfuse then **Add lead** in Pipeliner

### From Pipeliner to Langfuse

- When **New account** in Pipeliner then **Add Comment** in Langfuse
- When **New contact** in Pipeliner 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 Pipeliner

## Triggers and actions 6 triggers · 32 actions

- Trigger

**New Trace**

Polling trigger: fires for newly created traces (dedup by trace id / timestamp).

- Action

**Add Comment**

Add a comment to a trace/observation/session/prompt object.

- Action

**Add Dataset**

Create a new dataset.

- Action

**Add Dataset Item**

Create an item (input/expected_output/metadata) in a dataset.

- Action

**Add Prompt**

Create a new prompt version (text or chat).

- Action

**Add Score**

Create a score attached to a trace/observation/session (numeric, categorical, or boolean).

- Action

**Delete Trace**

Delete a trace by id.

- Action

**Get Project**

Reads the Langfuse project that the connection's project-scoped API key belongs to.

- Action

**Get Prompt**

Get a prompt by name (and optional version/label).

- Action

**Get Trace**

Get a single trace by id, including nested observations/scores.

- Action

**List Dataset Items**

List items in a dataset.

- Action

**List Datasets**

List all datasets in the project.

- Action

**List Prompts**

List all prompts in the project.

- Action

**List Scores**

List scores with optional filters.

- Action

**List Traces**

List traces with optional filters (user, session, tags, timerange).

- Trigger

**New account**

Fires when a new Account is created in Pipeliner.

- Trigger

**New contact**

Fires when a new Contact is created in Pipeliner.

- Trigger

**New lead**

Fires when a new Lead is created in Pipeliner.

- Trigger

**New opportunity**

Fires when a new Opportunity is created in Pipeliner.

- Trigger

**Updated opportunity**

Fires when an Opportunity is updated in Pipeliner.

- Action

**Add account**

Adds a new account

- Action

**Add contact**

Create a new Contact record.

- Action

**Add lead**

Create a new Lead record.

- Action

**Add note**

Adds a note to an account, contact, lead, opportunity, project, quote or custom entity record in Pipeliner.

- Action

**Add opportunity**

Create a new Opportunity record.

- Action

**Add product**

Create a new Product record.

- Action

**Delete account**

Deletes a Pipeliner account by its id.

- Action

**Delete contact**

Remove Contact with given id.

- Action

**Find accounts by name**

Returns up to 30 accounts whose name matches the specified name.

- Action

**Find contacts by email**

Returns up to 30 contacts whose primary email matches the specified email.

- Action

**Get account**

Retrieves a single account by its id.

- Action

**Get contact**

Return Contact with given id.

- Action

**Get lead**

Return Lead with given id.

- Action

**Get opportunity**

Return Opportunity with given id.

- Action

**Update account**

Update an existing Account record.

- Action

**Update contact**

Update an existing Contact record.

- Action

**Update lead**

Update an existing Lead record.

- Action

**Update opportunity**

Update an existing Opportunity record.

## Each app on its own

- [ **Langfuse** Langfuse is an open-source LLM engineering platform (GitHub) that helps teams collaboratively debug...](https://apiant.ai/connections/langfuse)
- [ **Pipeliner** CRM software with a visual drag-and-drop sales pipeline, deal tracking, and AI-assisted email, forecasting...](https://apiant.ai/connections/pipeliner)

Reviews

## What our customers say

## More from Langfuse

- [ **Langfuse to 5DollarFootball** Football fixtures, results, standings and historical odds with corner and card lines](https://apiant.ai/connect/langfuse-to-5dollarfootball)
- [ **Langfuse to Cloudflare Trace** Cloudflare Trace is a free JSON wrapper over Cloudflare's edge trace endpoint that reports what Cloudflare...](https://apiant.ai/connect/langfuse-to-cloudflare-trace)
- [ **Langfuse to PaperClean** Clean document photos for printing, remove shadows, fix lighting](https://apiant.ai/connect/langfuse-to-paperclean)
- [ **Langfuse to Postman** Postman is a platform for building and testing APIs.](https://apiant.ai/connect/langfuse-to-postman)
- [ **Langfuse to Rendobar** Hosted media processing over REST: transcode, caption, watermark video](https://apiant.ai/connect/langfuse-to-rendobar)
- [ **Langfuse to Runpod** Cloud GPU platform for renting on-demand compute to train and deploy AI models, including serverless...](https://apiant.ai/connect/langfuse-to-runpod)

## More into Pipeliner

- [ **HubSpot to Pipeliner** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-pipeliner)
- [ **Gmail to Pipeliner** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-pipeliner)
- [ **Google Calendar to Pipeliner** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-pipeliner)
- [ **Google Drive to Pipeliner** Google Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...](https://apiant.ai/connect/google-drive-to-pipeliner)
- [ **Mailchimp to Pipeliner** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-pipeliner)
- [ **Pipedrive to Pipeliner** Pipedrive is a sales CRM and pipeline management tool.](https://apiant.ai/connect/pipedrive-to-pipeliner)

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.

###

### Can my AI client use Langfuse and Pipeliner 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.
