---
title: "Connect Langfuse and SQL Server - APIANT.ai"
description: "When \"New Trace\" fires in Langfuse, your agent runs \"Add Row\" in SQL Server, or \"New or Updated Row\" in SQL Server to \"Add Comment\" in Langfuse."
canonical: "https://apiant.ai/connect/langfuse-to-sql-server"
---

# Connect Langfuse and SQL Server

When **New Trace** fires in [Langfuse](https://apiant.ai/connections/langfuse), your agent runs **Add Row** in [SQL Server](https://apiant.ai/connections/sql-server), or **New or Updated Row** in SQL Server 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 SQL Server **4** triggers SQL Server **7** 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 SQL Server 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 SQL Server can do together

### From Langfuse to SQL Server

- When **New Trace** in Langfuse then **Add Row** in SQL Server
- When **New Trace** in Langfuse then **Update Row** in SQL Server

### From SQL Server to Langfuse

- When **New or Updated Row** in SQL Server then **Add Comment** in Langfuse
- When **New Row** in SQL Server 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 SQL Server

## Triggers and actions 5 triggers · 21 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 or Updated Row**

Triggers when a new row is added or modified.

- Trigger

**New or Updated Row (Custom Query)**

Fires for each new or changed row returned by a SELECT statement you write against the connected SQL Server database.

- Trigger

**New Row**

Triggers when you add a new row.

- Trigger

**New Table**

Fires when a new table appears in the connected SQL Server database.

- Action

**Add Row**

Add one row to a table on the connected SQL Server database.

- Action

**Delete Row**

Delete the rows in a table whose chosen column equals a value.

- Action

**Find Row**

Find the first row in a table whose chosen column matches a value.

- Action

**Find Rows via Custom Query**

Runs a SELECT statement you write against the connected SQL Server database and returns every row it matches.

- Action

**Find Row via Custom Query**

Runs a SELECT statement you write against the connected SQL Server database and returns the first row it matches.

- Action

**Run Custom Statement**

Runs a statement you write against the connected SQL Server database that changes data rather than returning rows, and reports how many rows it changed.

- Action

**Update Row**

Change column values on every row of a table whose chosen column matches a value.

## 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)
- [ **SQL Server** Connect directly to a Microsoft SQL Server database and run SQL statements from your automations.](https://apiant.ai/connections/sql-server)

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 SQL Server

- [ **HubSpot to SQL Server** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-sql-server)
- [ **Slack to SQL Server** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-sql-server)
- [ **Mailchimp to SQL Server** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-sql-server)
- [ **Shopify to SQL Server** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/shopify-to-sql-server)
- [ **QuickBooks Online to SQL Server** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/quickbooks-online-to-sql-server)
- [ **Pipedrive to SQL Server** Pipedrive is a sales CRM and pipeline management tool.](https://apiant.ai/connect/pipedrive-to-sql-server)

Questions

## Langfuse and SQL Server, 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 SQL Server when something happens in Langfuse?

Any of SQL Server's 7 actions, including Update Row, Add Row, Find Row and Find Rows via Custom Query. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from SQL Server to Langfuse?

Yes. When something happens in SQL Server, your agent can act in Langfuse too. This page covers both directions: SQL Server's triggers and Langfuse's actions are listed here as well.

###

### Do I have to build a connector for Langfuse or SQL Server?

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 SQL Server 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.
