Antideploy is a developer-focused application deployment platform that analyzes project files, builds and runs web applications, and manages core infrastructure without requiring a Dockerfile, YAML configuration, or cloud-console setup. Developers can deploy from GitHub, a local folder, or compatible AI coding agents through MCP.
Antideploy is an application deployment platform that reads a project's files, determines the infrastructure and commands it needs, builds the application, and runs it behind HTTPS. It is designed to remove routine deployment configuration such as Dockerfiles, YAML files, and cloud-console setup while showing the evidence behind its detected application specification.
Projects can reach Antideploy from GitHub, a local folder upload, or an AI coding agent using the platform's MCP server. The service can provision PostgreSQL, manage encrypted environment variables, retain deployment history, and scale idle applications to zero. It is aimed at shipping web applications and static sites, with important limits around single-instance operation, ephemeral local storage, and the absence of staging or preview environments.
Antideploy offers a free tier that includes unlimited static sites, one live application with a server, one PostgreSQL database, one storage bucket, and ten successful server-app deploys per month; paid plans add capacity and features. Static sites and failed deploys do not count toward the stated deployment limits, according to the pricing page.
Antideploy inspects project files to identify the runtime, framework, build and start commands, port, database requirements, and environment variables. Its findings cite the files used as evidence rather than relying on an opaque model guess.
Buildpacks turn the repository into a container, so projects can be deployed without maintaining a Dockerfile or cloud configuration files.
Applications are served over HTTPS at an Antideploy address, with automatic provisioning of PostgreSQL when the project uses it and encrypted environment secrets injected at release.
The platform provides build and runtime logs, health checks with email notifications when an app changes state, deployment history, and rollback to a previously built image.
The MCP server lets Claude Code, Cursor, Windsurf, Codex, and other MCP clients package a project, start a deployment, poll its status, and receive structured warnings and hazards.
GitHub connections can redeploy on every push or wait for a manual deployment; projects can also be uploaded from a local folder through the dashboard.
A developer can connect a repository and choose automatic deployment on each push or keep commits waiting until a manual redeploy is requested. This suits projects that need a simple Git-based release path.
A developer can select a directory in the dashboard and deploy it without setting up Git or installing a command-line tool. This is useful for a one-off site, prototype, or local project that is ready to publish.
An AI coding agent can edit an application, invoke the MCP deploy tool, watch the asynchronous build, and use structured status, warnings, or hazards to address problems in the same development session.
A static portfolio, landing page, or frontend that builds to files can be hosted without consuming live-app or deploy quotas. Static sites are checked for phishing pages before going live.
A small server-backed application that uses PostgreSQL can receive a managed database and an injected DATABASE_URL, while logs, health checks, and retained builds support basic ongoing operation.
Antideploy can receive projects from GitHub, a local folder upload, or a coding agent through its MCP server. GitHub projects can be configured to deploy on every push or only when you choose; folder and coding-agent deployments are started manually.
Antideploy analyzes the project files and reports the detected runtime, framework, build and start commands, port, database needs, environment variables, warnings, and hazards before or during deployment. The MCP workflow returns a task ID and checks deployment status until the deployment succeeds or fails.
Antideploy creates a container from the repository using buildpacks, serves the application over HTTPS, and provides a platform address. It can provision PostgreSQL when the code requires it, inject the connection string as DATABASE_URL, and store encrypted environment variables.
Each application runs on a single instance that scales to zero when idle. Antideploy does not currently provide horizontal scaling, staging or preview environments, long-running background workers, or databases other than PostgreSQL provisioning. The application filesystem is ephemeral, so persistent files should use object storage where supported.
Yes. Antideploy provides an MCP server that works with Claude Code, Cursor, Windsurf, Codex, and other MCP clients. The agent can deploy the project, monitor the build, and use the result to help diagnose or fix deployment problems.
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