Release
Release is a developer-tools platform that provisions on-demand, full-stack ephemeral environments inside your own AWS or GCP cloud accounts. Positioned as a Heroku replacement and a Vercel alternative for full-stack apps, Release turns a repository plus a .release.yaml (or Docker Compose) file into reproducible environments spun up per pull request, per branch, or on demand, with managed Kubernetes clusters, datasets, remote development, and a Release.ai AI sandbox. Teams automate it through a REST Platform API (accounts, apps, environments, deploys, clusters, builds), a GraphQL API, an AI Sandbox API, and a first-party CLI, all authenticated with X-User-Email and X-User-Token headers and described by a canonical OpenAPI contract at https://api.release.com/openapi.json.
Release publishes 9 APIs on the APIs.io network, including Accounts API, Apps API, Builds API, and 6 more. Tagged areas include Company, Developer Tools, Ephemeral Environments, Platform Engineering, and Deployment.
Release’s developer surface includes authentication, documentation, API reference, getting-started guide, support, engineering blog, pricing, and 25 more developer resources.
Kin Score
APIs 9
Individual APIs this provider publishes, each with its own machine-readable definition.
Release Accounts API
The Accounts API from Release — 11 operation(s) for accounts.
Release Apps API
The Apps API from Release — 8 operation(s) for apps.
Release Builds API
The Builds API from Release — 5 operation(s) for builds.
Release Clusters API
The Clusters API from Release — 10 operation(s) for clusters.
Release Configs API
The Configs API from Release — 9 operation(s) for configs.
Release Deploys API
The Deploys API from Release — 5 operation(s) for deploys.
Release Environments API
The Environments API from Release — 6 operation(s) for environments.
Release Instances API
The Instances API from Release — 2 operation(s) for instances.
Release Remote Development API
The Remote Development API from Release — 2 operation(s) for remote development.
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MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
release-mcp.yml
MCP SERVERSecurity Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 6
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API