AWS SQS

· #228 most-used

Reliable async messaging for every agent workflow

CommunicationDatabaseAnalyticsDeveloperAutomation

AWS Simple Queue Service (SQS) is Amazon's fully managed message queue that decouples distributed components so they scale and fail independently — no message is ever lost, even under millions of events per second. Connect it to Actionist and your agents can send events to any queue, read and process messages on demand, manage queue lifecycle, and react to backlog spikes or dead-letter failures in real time. From fan-out order pipelines to cross-account permission grants, SQS becomes the backbone your agents orchestrate — not a black box they can only watch.

Average time saved
10 hours
per person · per month
≈ 1 workdays back

Eliminates manual work. Agents eliminate the manual work of checking queue depths, re-queueing failed messages, tagging new queues, and coordinating handoffs between services that today requires opening the AWS console.

Schedule

What your AWS SQS agent runs on autopilot

A week of scheduled jobs your Actionist agent will execute on your behalf.

28Scheduled jobs
7Agents at work
24/7Always on
Agents
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Fri
7a
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10a
11a
12p
1p
2p
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6p
Multi-app workflows

AWS SQS × every other app you use

End-to-end automations that span multiple apps — each one a real business outcome.

6Workflows
9Apps spanned
~28 hrsSaved / week
6Personas served
For customer success
Featured4 apps

Zero-touch ticket-to-queue escalation

When a customer escalation email arrives in Gmail, your agent reads the urgency markers, pulls the customer's SLA tier from the support queue attributes, and sends a structured escalation message to the priority-support SQS queue — routing the case to the right team instantly. The agent then posts a timestamped alert in the #support-escalations Slack channel and drops a follow-up reminder on the Google Calendar of the assigned CSM, so nothing slips between the cracks.

~13 hrs

Time saved for your team — every week, on autopilot

The flow
Trigger·When a customer escalation email arrives in Gmail matching the subject pattern 'URGENT' or 'Escalation'
Result
Send structured escalation message to priority-support queuePost escalation alert to #support-escalations channelCreate follow-up event on assigned CSM calendar
The win
Saved per run
25 min
Runs / week
~30×
Every escalation acknowledged in under 60 seconds
Driven byCustomer Support Agent
ROI

Savings

What your team gets back — two angles: what you stop doing manually, and what that's worth.

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

  • Sales
    18 min / week
    Manual onboarding handoff

    Rep copy-pastes deal details into Slack and emails the CSM team to start onboarding — each close takes 15 minutes of coordination.

    Sales Agent
    0 min
    Agent queues the onboarding event instantly

    Agent sends a structured payload to the customer-onboarding queue the moment a deal is marked Closed Won — provisioning starts before the champagne cools.

  • Marketing
    13 min / week
    Campaign launch checklist

    Marketer manually pings analytics, billing, and dev teams when a campaign goes live — often delayed by timezone gaps.

    Marketing Agent
    0 min
    Agent fires the attribution event

    Agent sends a campaign-launched message to the marketing-attribution SQS queue the instant the campaign activates, so every downstream service records it simultaneously.

  • Customer Support
    18 min / week
    Escalation routing

    Support rep manually copies escalation details into a shared sheet and pings the right team — average 20 minutes per escalation.

    Customer Support Agent
    0 min
    Agent routes to priority queue in seconds

    Agent sends a structured escalation message to the priority-support SQS queue and alerts the on-call CSM within 60 seconds of the email arriving.

  • Human Resources
    7 min / week
    New-hire provisioning ping

    HR coordinator manually emails IT and Finance to trigger account setup when an offer is accepted — often delayed a day.

    Human Resources Agent
    0 min
    Agent queues provisioning tasks immediately

    Agent sends a new-hire-onboarding message to the provisioning queue the moment the offer is accepted in the HRIS, kicking off IT and Finance workflows in parallel.

  • Finance
    13 min / week
    Invoice event coordination

    Finance analyst manually emails the engineering team when a large invoice is approved, triggering payment processor updates by hand.

    Finance Agent
    0 min
    Agent sends invoice event to billing queue

    Agent sends an invoice-created event to the billing-events FIFO queue with exactly-once semantics — the payment processor, ledger, and audit log all update without a single email.

  • Operations
    25 min / week
    Weekly queue depth review

    Ops engineer opens the AWS console on Monday morning, screenshots queue depths, and pastes them into a status doc for the team.

    Operations Agent
    0 min
    Agent delivers the queue depth report

    Agent reads queue attributes for all 12 monitored queues, flags any SLA breaches, and posts the full digest to Slack before the team's 9 AM standup.

  • Legal
    6 min / week
    Audit trail assembly

    Legal team manually collects queue creation/deletion logs from CloudTrail exports to fulfil e-discovery requests.

    Legal Agent
    0 min
    Agent logs queue lifecycle events automatically

    Agent captures every queue-created and queue-deleted CloudTrail event and appends it to the legal audit Google Sheet in real time — no retroactive search needed.

+ 100s of other AWS SQS automations
Average monthly
10 hrs / person / month
Average monthly
10 hrs / person / month
Calculator

Calculate what your team saves

Team size
10 person
Hourly rate
$20 / hr
Hours saved / week
25
Hours saved / year
1,250
Annual ROI
$25,000

Based on AWS SQS's typical team usage — the visible tasks plus a few other automations the agent runs: ~2.5 hrs / person / week of admin work automated.

Connect

How to plug AWS SQS into Actionist

Pick the connection method that suits your environment.

The fastest path to SQS automation. Actionist's MCP server connects to your AWS account through a permissioned IAM role — no long-lived keys to rotate, no console diving to wire permissions.

1
Open the Apps tab

Find AWS SQS in the Apps library and click Connect. MCP is selected by default.

2
Provide your AWS region and role ARN

In the AWS IAM console, create a role with the AmazonSQSFullAccess policy and note its ARN. Paste the ARN and your target region (e.g. us-east-1) into the Actionist connection dialog.

3
Test the connection

Actionist runs a read-only ListQueues call to verify the handshake. You're ready.

Actions

16 actions your agent can call

Read and write operations available to your Actionist agent.

Triggers

7 event your agent can react to

Events your agent watches for, and the actions it kicks off in response.

Skills

Skills that pair with AWS SQS

Reusable agent skills that work well alongside this app.

No paired skills curated yet. Add this app to your agent to discover what fits.
MCP servers

MCP servers that work with AWS SQS

Connect Actionist to MCP servers built for or around this app.

No MCP servers indexed for this app yet.
FAQs

Questions about AWS SQS + Actionist

How do I connect AWS SQS to Actionist?
Open the Apps tab, find AWS SQS, and click Connect. The recommended path uses an IAM role ARN — create a role in the AWS IAM console with AmazonSQSFullAccess (or a scoped policy), paste the ARN and your target region into Actionist, and click Test connection. Actionist runs a read-only ListQueues call to verify. If you prefer static credentials, use the API Token method with an IAM access key pair instead.
What IAM permissions does Actionist need for SQS?
For full functionality your IAM principal needs sqs:SendMessage, sqs:ReceiveMessage, sqs:DeleteMessage, sqs:GetQueueAttributes, sqs:GetQueueUrl, sqs:ListQueues, sqs:CreateQueue, sqs:DeleteQueue, sqs:SetQueueAttributes, sqs:PurgeQueue, sqs:TagQueue, and sqs:AddPermission. For read-only monitoring workflows, sqs:GetQueueAttributes and sqs:ListQueues are sufficient. Scope the resource ARN to specific queues or a prefix if you want least-privilege access.
Can Actionist agents work with both Standard and FIFO queues?
Yes. Standard queues offer maximum throughput and at-least-once delivery — ideal for fan-out event pipelines where duplicate handling is done downstream. FIFO queues guarantee exactly-once delivery and strict ordering within a message group — use them for billing events, financial ledger updates, or any flow where duplicates cause real harm. Your agent specifies the queue URL at runtime, so you can mix both types across different steps in the same workflow.
How do agents avoid processing the same message twice?
For Standard queues, design your consumer to be idempotent: include a unique message ID in the payload, check it against a processed-IDs store (DynamoDB, Postgres, or a Redis cache) before acting, and only then call Delete Message. For FIFO queues with content-based deduplication enabled, SQS itself de-duplicates within a 5-minute window using a hash of the message body — your agent never sees the duplicate. Always delete messages after successful processing; do not let them expire back into the queue.
What happens to messages my agent fails to process?
Configure a dead-letter queue (DLQ) on every production queue by setting a redrive policy with a maxReceiveCount of 3 to 5. After that many failed receive attempts, SQS moves the message to the DLQ automatically. Actionist can watch the DLQ depth via CloudWatch and fire a trigger when it rises above zero — alerting on-call, logging the payload, or attempting a targeted retry with modified parameters. Never let messages silently expire without a DLQ; you lose the failure evidence.
How do I handle long-running processing without messages re-appearing?
Increase the visibility timeout to at least 1.5× your worst-case processing duration when you receive the message. For jobs that run longer than the maximum visibility timeout (12 hours), use Change Message Visibility from your agent to extend it periodically — a heartbeat every 30–60 seconds works well. If the agent detects a fatal error mid-job, set the visibility timeout to 0 to immediately return the message to the queue for another consumer, rather than waiting for the window to expire.
Can agents trigger workflows when a queue backlog spikes?
Yes — set up a CloudWatch alarm on the ApproximateNumberOfMessages metric for any queue and have it publish to an SNS topic or call a webhook. The Actionist trigger for 'Queue depth exceeded threshold' fires when the alarm transitions to ALARM state, giving your agent the current depth, the queue ARN, and a timestamp. From there the agent can post a Slack alert, invoke Auto Scaling, or route a ClickUp task to the engineering team — all without anyone watching the AWS console.
What is the SQS message size limit and how do agents handle large payloads?
SQS supports messages up to 256 KB. For larger payloads — video metadata, ML model outputs, bulk CSV rows — use the extended client pattern: your agent uploads the payload to S3, sends a small pointer message to SQS containing the S3 bucket and key, and the consumer retrieves the full object. Actionist agents can handle both sides of this pattern using the AWS S3 integration alongside SQS, keeping every message within the 256 KB limit while supporting arbitrarily large data.