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Amazon Cloud9 website screenshot

Amazon Cloud9

AWS Cloud9 is a browser-based integrated development environment (IDE) that enables developers to write, run, and debug code without installing local software. Supports 40+ programming languages with real-time collaboration, integrated terminal, and pre-authenticated AWS CLI.

agent native

Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.

Kin Score

API Evangelist profiles Amazon Cloud9 the way a machine reads it — 40 machine-readable artifacts across 2 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 Cloud9 scores 59.5/100 (developing), with a separate agent-readiness read of 67/100 (agent native). 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 — 59.5/100 · developing
Contract Quality 18.4 / 25
Developer Ergonomics 10.0 / 20
Commercial Clarity 10.0 / 20
Operational Transparency 2.7 / 13
Governance 10.4 / 12
Discoverability 8.0 / 10
Agent readiness — 67/100 · agent native
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 3 / 3

How we profile Amazon Cloud9

Each block below is one kind of artifact we hold for Amazon Cloud9. 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 2

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 Cloud9 API

API for creating and managing Cloud9 development environments — browser-based IDEs running on EC2 instances or SSH-connected servers.

Amazon Cloud9 Environments API

Operations for managing Cloud9 development environments

MCP Servers 1

Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

Model Context Protocol servers that expose these APIs to AI agents.

Features 5

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.

Browser-Based IDE

Write, run, and debug code from any browser without local software installation.

Real-Time Collaboration

Pair program with teammates seeing edits simultaneously with built-in chat.

Pre-Authenticated AWS CLI

Terminal with pre-configured AWS credentials for seamless service access.

40+ Language Support

Syntax highlighting and code completion for Python, JavaScript, PHP, Ruby, Go, and more.

Serverless Development

Integrated local testing environment for AWS Lambda serverless functions.

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 Cloud9 Context

7 classes · 11 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 Cloud9 API Rules

5 rules · 3 warnings

SPECTRAL

Amazon Cloud9 API Rules

24 rules · 12 errors · 10 warnings

SPECTRAL

JSON Schema 5

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.

CreateEnvironmentEC2Request

5 properties

JSON SCHEMA

CreateEnvironmentEC2Response

1 properties

JSON SCHEMA

DescribeEnvironmentsResponse

1 properties

JSON SCHEMA

Environment

7 properties

JSON SCHEMA

ListEnvironmentsResponse

2 properties

JSON SCHEMA

JSON Structure 5

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.

Examples 5

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.

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 Cloud9 Authentication

apiKey · 1 scheme

SECURITY

Amazon Cloud9 Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Amazon Cloud9 Vulnerability Disclosure

security.txt · contact published

SECURITY

Amazon Cloud9 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 Cloud9 Agentic Access

4 operations · 2 acting

4 operations · 2 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.

Remote Development

Develop from any internet-connected device without local environment setup.

Collaborative Coding

Pair program and share development environments in real time.

Serverless Development

Develop, test, and deploy AWS Lambda functions with integrated tooling.

AWS-Native Development

Develop AWS applications with pre-installed SDKs and pre-authenticated CLI.

Integrations 5

Pre-built integrations with other platforms tell you where this provider already fits in a stack.

Pre-built integrations with other platforms and tools.

AWS Lambda

Develop and test serverless functions with integrated Lambda tooling.

AWS CodeCommit

Access CodeCommit repositories from Cloud9 environments.

AWS CodePipeline

Integrate Cloud9 into CI/CD pipelines for automated deployment.

Amazon EC2

Cloud9 environments run on managed EC2 instances.

AWS IAM

Control access to Cloud9 environments with IAM policies.

Resources

Every other property we hold for Amazon Cloud9 — 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 4

MCP servers, agent skills, and machine-readable catalogs

Build 2

SDKs, sample code, and the tooling you integrate with

Learn 1

Tutorials, courses, talks, and written guidance

Commercial 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/amazon-cloud9 · machine-readable index on apis.io