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Amazon MQ website screenshot

Amazon MQ

Amazon MQ is a managed message broker service for Apache ActiveMQ and RabbitMQ that makes it easy to set up and operate message brokers in the cloud, enabling you to migrate to a message broker without writing the code that typically enables interoperability with existing applications.

agent ready

Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.

Kin Score

API Evangelist profiles Amazon MQ the way a machine reads it — 249 machine-readable artifacts across 5 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Amazon MQ scores 65.5/100 (strong), with a separate agent-readiness read of 48/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 65.5/100 · strong
Contract Quality 17.6 / 25
Developer Ergonomics 8.3 / 20
Commercial Clarity 13.7 / 20
Operational Transparency 6.8 / 13
Governance 10.4 / 12
Discoverability 8.8 / 10
Agent readiness — 48/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Amazon MQ

Each block below is one kind of artifact we hold for Amazon MQ. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 5

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

Individual APIs this provider publishes, each with its own machine-readable definition.

Amazon MQ Broker Engine Types API

The Broker Engine Types API from Amazon MQ — 1 operation(s) for broker engine types.

Amazon MQ Broker Instance Options API

The Broker Instance Options API from Amazon MQ — 1 operation(s) for broker instance options.

Amazon MQ Brokers API

The Brokers API from Amazon MQ — 5 operation(s) for brokers.

Amazon MQ Configurations API

The Configurations API from Amazon MQ — 4 operation(s) for configurations.

Amazon MQ Tags API

The Tags API from Amazon MQ — 2 operation(s) for tags.

Open Collections 1

Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Amazon MQ API

OPEN COLLECTION

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Amazon Mq Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

Cost, billing, and metering signals for API financial operations.

Features 6

The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.

Notable capabilities this provider offers.

Managed Message Brokers

Fully managed Apache ActiveMQ and RabbitMQ brokers with automated provisioning and maintenance.

Protocol Support

Supports AMQP, MQTT, OpenWire, STOMP, and WebSocket protocols for broad compatibility.

High Availability

Active/standby configurations with automatic failover for high availability.

Network of Brokers

Create networks of brokers for distributed messaging across regions and availability zones.

Broker Management API

Programmatically create, configure, and manage brokers and configurations.

Security

Encryption at rest and in transit, VPC isolation, and IAM integration.

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

JSON-LD contexts and semantic vocabularies used across these APIs.

Amazon Mq Mq Api Context

76 classes · 84 properties

JSON-LD

Spectral Rules 2

Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.

Amazon MQ API Rules

5 rules · 4 warnings

SPECTRAL

Amazon MQ API Rules

26 rules · 9 errors · 13 warnings

SPECTRAL

JSON Schema 74

Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.

Standalone JSON Schema definitions for this provider's data models.

ActionRequired

2 properties

JSON SCHEMA

AuthenticationStrategy

0 properties

JSON SCHEMA

AvailabilityZone

1 properties

JSON SCHEMA

BrokerEngineType

2 properties

JSON SCHEMA

BrokerInstanceOption

6 properties

JSON SCHEMA

BrokerInstance

3 properties

JSON SCHEMA

BrokerState

0 properties

JSON SCHEMA

BrokerStorageType

0 properties

JSON SCHEMA

BrokerSummary

8 properties

JSON SCHEMA

ChangeType

0 properties

JSON SCHEMA

ConfigurationId

2 properties

JSON SCHEMA

ConfigurationRevision

3 properties

JSON SCHEMA

Configuration

10 properties

JSON SCHEMA

Configurations

3 properties

JSON SCHEMA

CreateBrokerRequest

19 properties

JSON SCHEMA

CreateBrokerResponse

2 properties

JSON SCHEMA

CreateConfigurationRequest

5 properties

JSON SCHEMA

CreateConfigurationResponse

6 properties

JSON SCHEMA

CreateTagsRequest

1 properties

JSON SCHEMA

CreateUserRequest

3 properties

JSON SCHEMA

CreateUserResponse

0 properties

JSON SCHEMA

DayOfWeek

0 properties

JSON SCHEMA

DeleteBrokerRequest

0 properties

JSON SCHEMA

DeleteBrokerResponse

1 properties

JSON SCHEMA

DeleteTagsRequest

0 properties

JSON SCHEMA

DeleteUserRequest

0 properties

JSON SCHEMA

DeleteUserResponse

0 properties

JSON SCHEMA

DeploymentMode

0 properties

JSON SCHEMA

DescribeBrokerEngineTypesRequest

0 properties

JSON SCHEMA

DescribeBrokerEngineTypesResponse

3 properties

JSON SCHEMA

DescribeBrokerInstanceOptionsRequest

0 properties

JSON SCHEMA

DescribeBrokerInstanceOptionsResponse

3 properties

JSON SCHEMA

DescribeBrokerRequest

0 properties

JSON SCHEMA

DescribeBrokerResponse

29 properties

JSON SCHEMA

DescribeConfigurationRequest

0 properties

JSON SCHEMA

DescribeConfigurationResponse

10 properties

JSON SCHEMA

DescribeConfigurationRevisionRequest

0 properties

JSON SCHEMA

DescribeConfigurationRevisionResponse

4 properties

JSON SCHEMA

DescribeUserRequest

0 properties

JSON SCHEMA

DescribeUserResponse

5 properties

JSON SCHEMA

EncryptionOptions

2 properties

JSON SCHEMA

EngineType

0 properties

JSON SCHEMA

EngineVersion

1 properties

JSON SCHEMA

LdapServerMetadataInput

11 properties

JSON SCHEMA

LdapServerMetadataOutput

10 properties

JSON SCHEMA

ListBrokersRequest

0 properties

JSON SCHEMA

ListBrokersResponse

2 properties

JSON SCHEMA

ListConfigurationRevisionsRequest

0 properties

JSON SCHEMA

ListConfigurationRevisionsResponse

4 properties

JSON SCHEMA

ListConfigurationsRequest

0 properties

JSON SCHEMA

ListConfigurationsResponse

3 properties

JSON SCHEMA

ListTagsRequest

0 properties

JSON SCHEMA

ListTagsResponse

1 properties

JSON SCHEMA

ListUsersRequest

0 properties

JSON SCHEMA

ListUsersResponse

4 properties

JSON SCHEMA

Logs

2 properties

JSON SCHEMA

LogsSummary

5 properties

JSON SCHEMA

MaxResults

0 properties

JSON SCHEMA

PendingLogs

2 properties

JSON SCHEMA

RebootBrokerRequest

0 properties

JSON SCHEMA

RebootBrokerResponse

0 properties

JSON SCHEMA

SanitizationWarningReason

0 properties

JSON SCHEMA

SanitizationWarning

3 properties

JSON SCHEMA

UnauthorizedException

0 properties

JSON SCHEMA

UpdateBrokerRequest

9 properties

JSON SCHEMA

UpdateBrokerResponse

10 properties

JSON SCHEMA

UpdateConfigurationRequest

2 properties

JSON SCHEMA

UpdateConfigurationResponse

6 properties

JSON SCHEMA

UpdateUserRequest

3 properties

JSON SCHEMA

UpdateUserResponse

0 properties

JSON SCHEMA

UserPendingChanges

3 properties

JSON SCHEMA

User

4 properties

JSON SCHEMA

UserSummary

2 properties

JSON SCHEMA

WeeklyStartTime

3 properties

JSON SCHEMA

Scroll within the panel for all 74 ·

JSON Structure 74

JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.

JSON Structure definitions describing this provider's data shapes.

Mq Api Action Required Structure

2 properties

JSON STRUCTURE

Mq Api Authentication Strategy Structure

0 properties

JSON STRUCTURE

Mq Api Availability Zone Structure

1 properties

JSON STRUCTURE

Mq Api Broker Engine Type Structure

2 properties

JSON STRUCTURE

Mq Api Broker Instance Option Structure

6 properties

JSON STRUCTURE

Mq Api Broker Instance Structure

3 properties

JSON STRUCTURE

Mq Api Broker State Structure

0 properties

JSON STRUCTURE

Mq Api Broker Storage Type Structure

0 properties

JSON STRUCTURE

Mq Api Broker Summary Structure

8 properties

JSON STRUCTURE

Mq Api Change Type Structure

0 properties

JSON STRUCTURE

Mq Api Configuration Id Structure

2 properties

JSON STRUCTURE

Mq Api Configuration Revision Structure

3 properties

JSON STRUCTURE

Mq Api Configuration Structure

10 properties

JSON STRUCTURE

Mq Api Configurations Structure

3 properties

JSON STRUCTURE

Mq Api Create Broker Request Structure

19 properties

JSON STRUCTURE

Mq Api Create Broker Response Structure

2 properties

JSON STRUCTURE

Mq Api Create Tags Request Structure

1 properties

JSON STRUCTURE

Mq Api Create User Request Structure

3 properties

JSON STRUCTURE

Mq Api Create User Response Structure

0 properties

JSON STRUCTURE

Mq Api Day Of Week Structure

0 properties

JSON STRUCTURE

Mq Api Delete Broker Request Structure

0 properties

JSON STRUCTURE

Mq Api Delete Broker Response Structure

1 properties

JSON STRUCTURE

Mq Api Delete Tags Request Structure

0 properties

JSON STRUCTURE

Mq Api Delete User Request Structure

0 properties

JSON STRUCTURE

Mq Api Delete User Response Structure

0 properties

JSON STRUCTURE

Mq Api Deployment Mode Structure

0 properties

JSON STRUCTURE

Mq Api Describe Broker Request Structure

0 properties

JSON STRUCTURE

Mq Api Describe Broker Response Structure

29 properties

JSON STRUCTURE

Mq Api Describe User Request Structure

0 properties

JSON STRUCTURE

Mq Api Describe User Response Structure

5 properties

JSON STRUCTURE

Mq Api Encryption Options Structure

2 properties

JSON STRUCTURE

Mq Api Engine Type Structure

0 properties

JSON STRUCTURE

Mq Api Engine Version Structure

1 properties

JSON STRUCTURE

Mq Api Ldap Server Metadata Input Structure

11 properties

JSON STRUCTURE

Mq Api List Brokers Request Structure

0 properties

JSON STRUCTURE

Mq Api List Brokers Response Structure

2 properties

JSON STRUCTURE

Mq Api List Tags Request Structure

0 properties

JSON STRUCTURE

Mq Api List Tags Response Structure

1 properties

JSON STRUCTURE

Mq Api List Users Request Structure

0 properties

JSON STRUCTURE

Mq Api List Users Response Structure

4 properties

JSON STRUCTURE

Mq Api Logs Structure

2 properties

JSON STRUCTURE

Mq Api Logs Summary Structure

5 properties

JSON STRUCTURE

Mq Api Max Results Structure

0 properties

JSON STRUCTURE

Mq Api Pending Logs Structure

2 properties

JSON STRUCTURE

Mq Api Reboot Broker Request Structure

0 properties

JSON STRUCTURE

Mq Api Reboot Broker Response Structure

0 properties

JSON STRUCTURE

Mq Api Sanitization Warning Structure

3 properties

JSON STRUCTURE

Mq Api Unauthorized Exception Structure

0 properties

JSON STRUCTURE

Mq Api Update Broker Request Structure

9 properties

JSON STRUCTURE

Mq Api Update Broker Response Structure

10 properties

JSON STRUCTURE

Mq Api Update User Request Structure

3 properties

JSON STRUCTURE

Mq Api Update User Response Structure

0 properties

JSON STRUCTURE

Mq Api User Pending Changes Structure

3 properties

JSON STRUCTURE

Mq Api User Structure

4 properties

JSON STRUCTURE

Mq Api User Summary Structure

2 properties

JSON STRUCTURE

Mq Api Weekly Start Time Structure

3 properties

JSON STRUCTURE

Scroll within the panel for all 74 ·

Examples 74

Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.

Example request and response payloads for these APIs.

Mq Api Logs Example

2 fields

EXAMPLE

Mq Api User Example

4 fields

EXAMPLE

Scroll within the panel for all 74 ·

Security Posture 4

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Amazon Mq Authentication

apiKey · 1 scheme

SECURITY

Amazon Mq Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Amazon Mq Vulnerability Disclosure

security.txt · contact published

SECURITY

Amazon Mq Trust Center

PCI DSS, HIPAA, FedRAMP, GDPR, FIPS 140

SECURITY

Agentic Access 1

An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.

Recommended x-agentic-access execution contracts for AI agents.

Amazon Mq Agentic Access

22 operations · 11 acting · 1 human-in-the-loop

22 operations · 11 acting

AGENTIC

Use Cases 4

What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.

What developers build with this provider.

Application Migration

Migrate on-premises ActiveMQ or RabbitMQ workloads to AWS without code changes.

Microservices Decoupling

Use message queues to decouple microservices for improved reliability and scalability.

Enterprise Integration

Connect enterprise applications using standard messaging protocols.

Event-Driven Architecture

Build event-driven applications with reliable message delivery.

Resources

Every other property we hold for Amazon MQ — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Get Started 3

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Operate 3

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/amazon-mq · machine-readable index on apis.io