---
title: "Connect Microsoft Log Analytics and Request Tracker (RT) - APIANT.ai"
description: "When \"New Query Result Row\" fires in Microsoft Log Analytics, your agent runs \"Create Ticket\" in Request Tracker (RT)."
canonical: "https://apiant.ai/connect/microsoft-log-analytics-to-request-tracker-rt"
---

# Connect Microsoft Log Analytics and Request Tracker (RT)

When **New Query Result Row** fires in [Microsoft Log Analytics](https://apiant.ai/connections/microsoft-log-analytics), your agent runs **Create Ticket** in [Request Tracker (RT)](https://apiant.ai/connections/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.

Microsoft Log Analytics **1** trigger Microsoft Log Analytics **2** actions Request Tracker (RT) **3** triggers Request Tracker (RT) **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 Microsoft Log Analytics and Request Tracker (RT) 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 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)
- When **New Query Result Row** in Microsoft Log Analytics then **Update ticket** in Request Tracker (RT)

### From Request Tracker (RT) to Microsoft Log Analytics

- When **Ticket Created** in Request Tracker (RT) then **Run Query** in Microsoft Log Analytics
- When **Ticket Status Changed** in Request Tracker (RT) then **List Tables** in 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

- Trigger

**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.

- Action

**List Tables**

Returns the tables available in the connected Log Analytics workspace, with each table's type and time column.

- Action

**Run Query**

Runs a Kusto (KQL) query against the connected Log Analytics workspace and returns the result rows, each keyed by column name.

- Trigger

**Ticket Correspondence**

Triggers when a ticket is replied to (that is, corresponded with).

- Trigger

**Ticket Created**

Triggers when a new Request Tracker ticket is created.

- Trigger

**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.

- Action

**Add asset**

Create an asset.

- Action

**Comment on a Ticket**

Add an internal comment to a ticket and send to any internal watchers.

- Action

**Create Ticket**

Create a new ticket in Request Tracker.

- Action

**Find Attachment**

Locate an attachment by ID.

- Action

**Find Ticket**

Locate a ticket by ID.

- Action

**Find Tickets**

Issue a query to find matching tickets.

- Action

**Find Transaction**

Find a transaction by ID

- Action

**Get asset**

Retrieves one asset by ID: name, description, status, catalog, owner, held by, contact, custom fields.

- Action

**Get queue**

Get a queue by id or name.

- Action

**Get user**

Get a user by id or name.

- Action

**List queues**

List all queues visible to user.

- Action

**List ticket history**

List transactions of a ticket.

- Action

**Reply to a Ticket**

Reply to the requestor and any internal or external watchers of a ticket.

- Action

**Update ticket**

General ticket update (Owner, Priority, Queue, custom fields).

- Action

**Update Ticket Due Date**

Update the due date of a ticket.

- Action

**Update Ticket Status**

Update the status of a ticket.

- Action

**Update Ticket Subject**

Update the subject of a ticket.

- Action

**Update user**

Update a user.

## Each app on its own

- [ **Microsoft Log Analytics** Azure service for querying, analyzing, and storing log and telemetry data collected from cloud and...](https://apiant.ai/connections/microsoft-log-analytics)
- [ **Request Tracker (RT)** Request Tracker (RT) is an open-source, enterprise-grade ticketing system.](https://apiant.ai/connections/request-tracker-rt)

Reviews

## What our customers say

## More from Microsoft Log Analytics

- [ **Microsoft Log Analytics to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/microsoft-log-analytics-to-salesforce)
- [ **Microsoft Log Analytics to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/microsoft-log-analytics-to-slack)
- [ **Microsoft Log Analytics to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/microsoft-log-analytics-to-stripe)
- [ **Microsoft Log Analytics to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/microsoft-log-analytics-to-shopify)
- [ **Microsoft Log Analytics to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/microsoft-log-analytics-to-quickbooks-online)
- [ **Microsoft Log Analytics to Pipedrive** Pipedrive is a sales CRM and pipeline management tool.](https://apiant.ai/connect/microsoft-log-analytics-to-pipedrive)

## More into Request Tracker (RT)

- [ **HubSpot to Request Tracker (RT)** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-request-tracker-rt)
- [ **Google Sheets to Request Tracker (RT)** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-request-tracker-rt)
- [ **Gmail to Request Tracker (RT)** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-request-tracker-rt)
- [ **Google Calendar to Request Tracker (RT)** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-request-tracker-rt)
- [ **Google Drive to Request Tracker (RT)** Google Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...](https://apiant.ai/connect/google-drive-to-request-tracker-rt)
- [ **Mailchimp to Request Tracker (RT)** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-request-tracker-rt)

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.
