An agent-to-agent cloud service that allows AI models to seamlessly deploy and run applications, manage custom domains, inspect logs, and monitor status.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install nyxory
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install nyxory using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is nyxory?
nyxory is a powerful agent-to-agent cloud deployment platform designed specifically for modern AI workflows. By integrating directly into AI environments as one of the essential Openclaw Skills, it allows coding agents to move applications and long-running services from local development environments to live, public URLs effortlessly.
With nyxory, AI assistants can handle full-lifecycle DevOps tasks such as deploying Git repositories, mapping custom domains, configuring environment secrets, and monitoring runtime status. This eliminates the manual friction of cloud management, allowing developers and their AI agents to ship products to production within a unified workflow.
nyxory Use Cases
- Deploying a local web application or API to a live, production-ready URL instantly.
- Automating continuous deployment pipelines directly from an AI-assisted development chat.
- Managing environment variables and secure secrets for live deployments.
- Troubleshooting and debugging live services by retrieving real-time build and runtime logs.
- Configuring custom domains and checking the honest live status of active applications.
How nyxory Works
- The AI agent initiates a deployment request based on a local workspace or connected Git repository.
- The nyxory MCP server processes the request over secure, streamable-HTTP transport.
- User authentication is verified seamlessly via OAuth or an API token.
- nyxory provisions the server, builds the Git repository, and deploys the application.
- Real-time feedback, including deployment logs and active endpoints, is piped back directly to the agent.
nyxory Setup
To run nyxory, add the following MCP server configuration to your environment settings. This registers the deployment tools with your AI environment, expanding your capability with Openclaw Skills:
{
"mcp": {
"servers": {
"nyxory": {
"url": "https://api.nyxory.com/mcp",
"transport": "streamable-http",
"auth": "oauth"
}
}
}
}
Once configured, authenticate using the OAuth sign-in flow (or an API token) when prompted by your agent to make deployment tools available across all your projects.
nyxory Data Schema & Taxonomy
nyxory keeps configuration and execution state metadata structured to ensure reliable agent-to-agent interaction. Below is a breakdown of the primary configuration schema components:
| Attribute | Description | Type |
|---|---|---|
url |
Endpoint of the nyxory MCP server (https://api.nyxory.com/mcp) |
String |
transport |
The communication protocol style (defaults to streamable-http) |
String |
auth |
Authentication mechanism (defaults to oauth) |
String |
During runtime, nyxory manages application and container logs, active domains, environment secrets, and Git repository mappings to enable full state tracking and smooth deployment status lookups.
nyxory Advanced Features
- Persistent OAuth Sign-in: Authenticate once to securely access deployment controls across different coding workspaces and projects.
- Agent-to-Agent Coordination: Allows your AI agent to independently coordinate with the cloud service to manage hosting details without human intervention.
- Interactive Log Streaming: Enables agents to read active build and runtime logs to self-heal code errors on the live server.
- Zero-Config Environments: Instantly spin up environments with secure secret management, reducing manual setup.
SKILL.md
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