Integration
Connect Amazon Redshift and Azure DevOps
When New Row fires in Amazon Redshift, your agent runs Add Link to Work Item in Azure DevOps, or Completed Build in Azure DevOps to Create Rows in Amazon Redshift. 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 Amazon Redshift and Azure DevOps to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne 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.aiStart 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)Example flows
What Amazon Redshift and Azure DevOps can do together
From Amazon Redshift to Azure DevOps
then Add Link to Work Item in Azure DevOps
From Azure DevOps to Amazon Redshift
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 Amazon Redshift and Azure DevOps
Triggers and actions 7 triggers · 10 actions
- New Row
Triggers when a new row is added to an Amazon Redshift table.
- Updated Row
Triggers when a row in an Amazon Redshift table is added or changed, based on its updated-time column.
- Create Rows
Adds a row to an Amazon Redshift table.
- Delete Rows
Deletes the rows in an Amazon Redshift table that match a condition.
- Find Rows
Finds rows in an Amazon Redshift table that match a condition.
- Query Database
Runs one SQL statement on your Amazon Redshift database and returns any rows it produces.
- Update Rows
Updates the rows in an Amazon Redshift table that match a condition.
- Code Push (Git)
Triggers when commits are pushed to a Git repository in an Azure DevOps project.
- Completed Build
Triggers when a build finishes in an Azure DevOps project, with its result (succeeded, failed, partially succeeded or canceled).
- New Work Item
Triggers when a work item is created in an Azure DevOps project.
- New Work Item Comment
Triggers when someone comments on a work item in an Azure DevOps project.
- Updated Work Item
Triggers when a work item is updated in an Azure DevOps project, with the work item's current values and the list of fields that changed.
- Add Link to Work Item
Adds a link to an Azure DevOps work item: a related, parent, child, predecessor, successor or duplicate link to another work item, or a hyperlink to a web page.
- Create Work Item
Creates a new work item (such as a Task, Bug, Issue or User Story) in an Azure DevOps project.
- Find Work Item
Finds work items in an Azure DevOps project that match a Work Item Query Language (WIQL) query, returning the matching work item IDs, or the matching links for a link query.
- Trigger Build
Queues a new run of an Azure DevOps build pipeline, optionally for a specific branch or commit and with pipeline variables or parameters.
- Update Work Item
Updates an existing Azure DevOps work item: changes its title, description, state, assignee, area, iteration, priority or tags, and can add a discussion comment. Fields left blank are not changed.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Amazon Redshift and Azure DevOps, answered
What can start an automation from Amazon Redshift?
Any of Amazon Redshift's 2 triggers in the catalog, including New Row and Updated Row. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Azure DevOps when something happens in Amazon Redshift?
Any of Azure DevOps's 5 actions, including Create Work Item, Update Work Item, Add Link to Work Item and Find Work Item. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Azure DevOps to Amazon Redshift?
Yes. When something happens in Azure DevOps, your agent can act in Amazon Redshift too. This page covers both directions: Azure DevOps's triggers and Amazon Redshift's actions are listed here as well.
Do I have to build a connector for Amazon Redshift or Azure DevOps?
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 Amazon Redshift and Azure DevOps 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.