---
title: "Connect Langfuse to HrFlow.ai - APIANT.ai"
description: "When \"New Trace\" fires in Langfuse, your agent runs \"Ask Questions to a Job Indexed in a Board\" in HrFlow.ai."
canonical: "https://apiant.ai/connect/langfuse-to-hrflow-ai"
---

# Connect Langfuse to HrFlow.ai

When **New Trace** fires in [Langfuse](https://apiant.ai/connections/langfuse), your agent runs **Ask Questions to a Job Indexed in a Board** in [HrFlow.ai](https://apiant.ai/connections/hrflow-ai). Describe the whole flow and it is built, tested on every scenario and kept running.

Langfuse **1** trigger Langfuse **14** actions HrFlow.ai **10** 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 HrFlow.ai 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 can start in HrFlow.ai

- When **New Trace** in Langfuse then **Ask Questions to a Job Indexed in a Board** in HrFlow.ai
- When **New Trace** in Langfuse then **Ask Questions to a Profile Indexed in a Source** in HrFlow.ai

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 HrFlow.ai

## Triggers and actions 1 trigger · 24 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).

- Action

**Ask Questions to a Job Indexed in a Board**

Asks one or more questions about a job already indexed in a HrFlow.ai board and returns the answers, in the order the questions were asked.

- Action

**Ask Questions to a Profile Indexed in a Source**

Asks one or more free-text questions about a candidate profile already indexed in an HrFlow.ai source, and returns the answers in the order the questions were asked.

- Action

**Get a Profile**

Returns a profile stored in a source, looked up by its key or your own reference.

- Action

**Index a Job Into a Board**

Adds a job to a board in your HrFlow.ai workspace, with its title, location, description sections, skills and tags, and returns the job HrFlow.ai created.

- Action

**Index a Profile Into a Source**

Adds a candidate profile to a source in HrFlow.ai and returns the indexed profile.

- Action

**Make an API Call**

Makes any HrFlow.ai API call you specify, for endpoints that do not yet have their own action. You supply the method, the path and any data; the connected account's credentials are applied for you.

- Action

**OCR a Text**

Reads the text out of a document or image, such as a scanned resume, and returns it along with the detected language and a page-by-page breakdown.

- Action

**Search Jobs in Boards**

Searches the jobs indexed in one or more HrFlow.ai boards by keywords, title, skills, location and tags, and returns the matching jobs.

- Action

**Search Profiles in Sources**

Searches the candidate profiles indexed in your HrFlow.ai sources by keywords, skills, tags, stage, location and experience, and returns the matching profiles.

- Action

**Vectorize a Text**

Turns text such as a job description or a resume into a numeric vector, so it can be compared, clustered or searched by meaning.

## 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)
- [ **HrFlow.ai** HrFlow.ai is the 1st multi-layer AI powered API that brings intelligence to your HR Data and bridges the gap...](https://apiant.ai/connections/hrflow-ai)

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 HrFlow.ai

- [ **HubSpot to HrFlow.ai** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-hrflow-ai)
- [ **Salesforce to HrFlow.ai** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-hrflow-ai)
- [ **Slack to HrFlow.ai** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-hrflow-ai)
- [ **Google Sheets to HrFlow.ai** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-hrflow-ai)
- [ **Gmail to HrFlow.ai** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-hrflow-ai)
- [ **Google Calendar to HrFlow.ai** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-hrflow-ai)

Questions

## Langfuse and HrFlow.ai, 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 HrFlow.ai when something happens in Langfuse?

Any of HrFlow.ai's 10 actions, including Ask Questions to a Job Indexed in a Board, Ask Questions to a Profile Indexed in a Source, Get a Profile and Index a Job Into a Board. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from HrFlow.ai to Langfuse?

HrFlow.ai has no triggers in the catalog today, so automations start in Langfuse. If you need the other direction, ask: your agent reads HrFlow.ai's API documentation and adds it.

###

### Do I have to build a connector for Langfuse or HrFlow.ai?

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 HrFlow.ai 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.
