Integration
Connect Microsoft Log Analytics and Request Tracker (RT)
When New Query Result Row fires in Microsoft Log Analytics, your agent runs Create Ticket in Request Tracker (RT), or Ticket Created in Request Tracker (RT) to Run Query in Microsoft Log Analytics. 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 Microsoft Log Analytics and Request Tracker (RT) 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 Microsoft Log Analytics and Request Tracker (RT) can do together
From Microsoft Log Analytics to Request Tracker (RT)
When New Query Result Row in Microsoft Log Analytics
then Create Ticket in Request Tracker (RT)
From Request Tracker (RT) to Microsoft Log Analytics
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 Microsoft Log Analytics and Request Tracker (RT)
Triggers and actions 4 triggers · 20 actions
- New Query Result Row
Triggers when a Kusto (KQL) query against the connected Log Analytics workspace returns a row it has not returned before. Each row's fields are the query's column names.
- List Tables
Returns the tables available in the connected Log Analytics workspace, with each table's type and time column.
- Run Query
Runs a Kusto (KQL) query against the connected Log Analytics workspace and returns the result rows, each keyed by column name.
- Ticket Correspondence
Triggers when a ticket is replied to (that is, corresponded with).
- Ticket Created
Triggers when a new Request Tracker ticket is created.
- Ticket Status Changed
Triggers when a Request Tracker ticket changes status. Can watch for any status change or only for changes to a specific status.
- Add asset
Create an asset.
- Comment on a Ticket
Add an internal comment to a ticket and send to any internal watchers.
- Create Ticket
Create a new ticket in Request Tracker.
- Find Attachment
Locate an attachment by ID.
- Find Ticket
Locate a ticket by ID.
- Find Tickets
Issue a query to find matching tickets.
- Find Transaction
Find a transaction by ID
- Get asset
Retrieves one asset by ID: name, description, status, catalog, owner, held by, contact, custom fields.
- Get queue
Get a queue by id or name.
- Get user
Get a user by id or name.
- List queues
List all queues visible to user.
- List ticket history
List transactions of a ticket.
- Reply to a Ticket
Reply to the requestor and any internal or external watchers of a ticket.
- Update ticket
General ticket update (Owner, Priority, Queue, custom fields).
- Update Ticket Due Date
Update the due date of a ticket.
- Update Ticket Status
Update the status of a ticket.
- Update Ticket Subject
Update the subject of a ticket.
- Update user
Update a user.
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
Microsoft Log Analytics and Request Tracker (RT), answered
What can start an automation from Microsoft Log Analytics?
Any of Microsoft Log Analytics's 1 trigger in the catalog, including New Query Result Row. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Request Tracker (RT) when something happens in Microsoft Log Analytics?
Any of Request Tracker (RT)'s 18 actions, including Create Ticket, Update ticket, Update Ticket Due Date and Update Ticket Status. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Request Tracker (RT) to Microsoft Log Analytics?
Yes. When something happens in Request Tracker (RT), your agent can act in Microsoft Log Analytics too. This page covers both directions: Request Tracker (RT)'s triggers and Microsoft Log Analytics's actions are listed here as well.
Do I have to build a connector for Microsoft Log Analytics or Request Tracker (RT)?
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 Microsoft Log Analytics and Request Tracker (RT) 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.