Integration

Connect SQL Server and Teamwork

When New or Updated Row fires in SQL Server, your agent runs Complete Task in Teamwork, or New Person in Teamwork to Add Row in SQL Server. Describe the whole flow 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 SQL Server and Teamwork to do together?

Ask the assistant

You'll sign in before anything runs. What you typed comes with you.

Examples

Pick one to fill the box, then change anything: the steps, the wording, even the apps. Go as long as you like.

Connect your AI client

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)
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)

Teamwork holds the projects, tasks and time your team works from, while SQL Server holds the tables your reporting and billing run on. Connecting them lets new rows in SQL Server turn into Teamwork tasks, and lets Teamwork projects, people and logged hours land in the tables you query. The agent builds the connection, tests every scenario and keeps it running.

Example flows

What SQL Server and Teamwork can do together

From SQL Server to Teamwork

From Teamwork to SQL Server

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 Teamwork

Triggers and actions 10 triggers · 29 actions

Each app on its own

Reviews

What our customers say

More from SQL Server

More into Teamwork

Questions

SQL Server and Teamwork, answered

Can a row in SQL Server create work in Teamwork automatically?

Yes. A new row, or a row returned by a SELECT statement you write, can trigger actions such as Create Task, Create Task List or Complete Task in Teamwork. You choose the project and task list the work should land in.

Can I check a table in SQL Server before writing anything?

Yes. Find Row and Find Row via Custom Query look up a matching record first, so the automation can continue only when that row exists. If it does, Add Row, Update Row or Run Custom Statement can then write back to SQL Server.

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 Teamwork when something happens in SQL Server?

Any of Teamwork's 22 actions, including Complete Task, Create Task, Get Task and Create Project. Your agent maps the data both ways and tests every scenario before it ships.

Can it also run from Teamwork to SQL Server?

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

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

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 Teamwork 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.