---
title: "Connect Amazon SQS and Microsoft Log Analytics - APIANT.ai"
description: "When \"New JSON Message\" fires in Amazon SQS, your agent runs \"Run Query\" in Microsoft Log Analytics."
canonical: "https://apiant.ai/connect/amazon-sqs-to-microsoft-log-analytics"
---

# Connect Amazon SQS and Microsoft Log Analytics

When **New JSON Message** fires in [Amazon SQS](https://apiant.ai/connections/amazon-sqs), your agent runs **Run Query** in [Microsoft Log Analytics](https://apiant.ai/connections/microsoft-log-analytics), or **New Query Result Row** in Microsoft Log Analytics to **Create JSON Message** in Amazon SQS. Describe the whole flow and it is built, tested on every scenario and kept running.

Amazon SQS **3** triggers Amazon SQS **3** actions Microsoft Log Analytics **1** trigger Microsoft Log Analytics **2** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want Amazon SQS and Microsoft Log Analytics 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 Amazon SQS and Microsoft Log Analytics can do together

### From Amazon SQS to Microsoft Log Analytics

- When **New JSON Message** in Amazon SQS then **Run Query** in Microsoft Log Analytics
- When **New Message** in Amazon SQS then **List Tables** in Microsoft Log Analytics

### From Microsoft Log Analytics to Amazon SQS

- When **New Query Result Row** in Microsoft Log Analytics then **Create JSON Message** in Amazon SQS
- When **New Query Result Row** in Microsoft Log Analytics then **Create Message** in Amazon SQS

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 SQS and Microsoft Log Analytics

## Triggers and actions 4 triggers · 5 actions

- Trigger

**New JSON Message**

Triggers when a new message arrives in an Amazon SQS queue and passes on the JSON data in the message. Each message is removed from the queue once it is received.

- Trigger

**New Message**

Triggers when a new message arrives in an Amazon SQS queue. Each message is removed from the queue once it is received.

- Trigger

**New Queue**

Triggers when a new queue is created in the connected Amazon SQS account.

- Action

**Create JSON Message**

Sends a message to an Amazon SQS queue whose body is JSON built from the data you map, such as a record from the trigger.

- Action

**Create Message**

Sends a text message to an Amazon SQS queue.

- Action

**Create Queue**

Creates a new Amazon SQS queue, or returns the existing one if a queue with the same name and settings already exists.

- 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.

## Each app on its own

- [ **Amazon SQS** Amazon Simple Queue Service is a simple but powerful services for generating and consuming messages.](https://apiant.ai/connections/amazon-sqs)
- [ **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)

Reviews

## What our customers say

## More from Amazon SQS

- [ **Amazon SQS to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/amazon-sqs-to-hubspot)
- [ **Amazon SQS to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/amazon-sqs-to-salesforce)
- [ **Amazon SQS to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/amazon-sqs-to-slack)
- [ **Amazon SQS to Google Sheets** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/amazon-sqs-to-google-sheets)
- [ **Amazon SQS to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/amazon-sqs-to-gmail)
- [ **Amazon SQS to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/amazon-sqs-to-google-calendar)

## More into Microsoft Log Analytics

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

Questions

## Amazon SQS and Microsoft Log Analytics, answered

###

### What can start an automation from Amazon SQS?

Any of Amazon SQS's 3 triggers in the catalog, including New JSON Message, New Message and New Queue. Describe the moment in plain language and your agent picks the right one.

###

### What can your agent do in Microsoft Log Analytics when something happens in Amazon SQS?

Any of Microsoft Log Analytics's 2 actions, including List Tables and Run Query. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from Microsoft Log Analytics to Amazon SQS?

Yes. When something happens in Microsoft Log Analytics, your agent can act in Amazon SQS too. This page covers both directions: Microsoft Log Analytics's triggers and Amazon SQS's actions are listed here as well.

###

### Do I have to build a connector for Amazon SQS or Microsoft Log Analytics?

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 SQS and Microsoft Log Analytics 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.
