---
title: "Connect SQL Server to GPT Chatbot - APIANT.ai"
description: "When \"New or Updated Row\" fires in SQL Server, your agent runs \"Send Message\" in GPT Chatbot."
canonical: "https://apiant.ai/connect/sql-server-to-gpt-chatbot"
---

# Connect SQL Server to GPT Chatbot

When **New or Updated Row** fires in [SQL Server](https://apiant.ai/connections/sql-server), your agent runs **Send Message** in [GPT Chatbot](https://apiant.ai/connections/gpt-chatbot). Describe the whole flow and it is built, tested on every scenario and kept running.

SQL Server **4** triggers SQL Server **7** actions GPT Chatbot **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 SQL Server and GPT Chatbot 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 SQL Server can start in GPT Chatbot

- When **New or Updated Row** in SQL Server then **Send Message** in GPT Chatbot
- When **New Row** in SQL Server then **Add file source** in GPT Chatbot

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 SQL Server and GPT Chatbot

## Triggers and actions 4 triggers · 25 actions

- 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.

- Action

**Add chatbot**

Create a chatbot for the authenticated user.

- Action

**Add file source**

Upload a file as a data source for a chatbot specified by chatbot uuid.

- Action

**Add session**

Create a chat session for a chatbot specified by chatbot uuid.

- Action

**Add URL source**

Create a URL data source for a chatbot specified by chatbot uuid.

- Action

**Delete agent**

Delete a single agent by uuid.

- Action

**Delete message**

Delete a single message by uuid.

- Action

**Delete session**

Delete a session by its uuid.

- Action

**Delete source**

Delete a single data source by uuid.

- Action

**Get chatbot**

Fetch a single chatbot by uuid.

- Action

**Get session**

Fetch a single chatbot session by uuid.

- Action

**List agents**

Fetch the list of agents for a chatbot specified by chatbot uuid.

- Action

**List chatbots**

Fetch the list of chatbots for the current user.

- Action

**List messages**

Fetch the list of messages for a session specified by session uuid.

- Action

**List sessions**

Fetch the list of sessions for a chatbot specified by chatbot uuid.

- Action

**List sources**

Fetch the list of data sources for a chatbot specified by chatbot uuid.

- Action

**Send Message**

Send a message to a chatbot and receive an answer.

- Action

**Update agent**

Update agent metadata based on uuid.

- Action

**Update chatbot**

Update chatbot metadata by uuid.

## Each app on its own

- [ **SQL Server** Connect directly to a Microsoft SQL Server database and run SQL statements from your automations.](https://apiant.ai/connections/sql-server)
- [ **GPT Chatbot** GPT Chatbot allows you to create your custom AI chatbots and embed it in your website or preferred social...](https://apiant.ai/connections/gpt-chatbot)

Reviews

## What our customers say

## More from SQL Server

- [ **SQL Server to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/sql-server-to-stripe)
- [ **SQL Server to Trello** Trello is a visual collaboration tool that organizes projects into boards, lists, and cards.](https://apiant.ai/connect/sql-server-to-trello)
- [ **SQL Server to JIRA** Atlassian JIRA Cloud — issue tracking and project management.](https://apiant.ai/connect/sql-server-to-jira)
- [ **SQL Server to Zoom** Zoom unifies cloud video conferencing, simple online meetings, group messaging, and a software-based...](https://apiant.ai/connect/sql-server-to-zoom)
- [ **SQL Server to Typeform** Build and publish online forms, surveys, and quizzes with Typeform.](https://apiant.ai/connect/sql-server-to-typeform)
- [ **SQL Server to Webflow** Webflow is a professional website builder and CMS for designing, building, and launching responsive...](https://apiant.ai/connect/sql-server-to-webflow)

## More into GPT Chatbot

- [ **Buildin.AI to GPT Chatbot** Buildin.AI is a workspace for docs, notes, tasks, wikis, databases & more.](https://apiant.ai/connect/buildin-ai-to-gpt-chatbot)
- [ **HubSpot to GPT Chatbot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-gpt-chatbot)
- [ **Salesforce to GPT Chatbot** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-gpt-chatbot)
- [ **Slack to GPT Chatbot** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-gpt-chatbot)
- [ **Google Sheets to GPT Chatbot** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-gpt-chatbot)
- [ **Gmail to GPT Chatbot** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-gpt-chatbot)

Questions

## SQL Server and GPT Chatbot, answered

###

### What can start an automation from SQL Server?

Any of SQL Server's 4 triggers in the catalog, including New or Updated Row, New or Updated Row (Custom Query), New Row and New Table. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in GPT Chatbot when something happens in SQL Server?

Any of GPT Chatbot's 18 actions, including Send Message, Update agent, Update chatbot and Add chatbot. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from GPT Chatbot to SQL Server?

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

###

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

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 SQL Server and GPT Chatbot 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.
