OVHcloud Skill for AI Agents for Openclaw

A comprehensive integration allowing AI agents to manage OVHcloud servers, networking, and infrastructure via secure automated workflows.

membranedev
v1.0.2
Apr 30, 2026
0
388
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install ovhcloud

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install ovhcloud 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 OVHcloud Skill for AI Agents?

The OVHcloud skill empowers developers to bridge the gap between AI agents and European cloud infrastructure. By leveraging Openclaw Skills, users can manage dedicated servers, IP configurations, and load balancers through a streamlined interface that eliminates the complexity of manual authentication. This integration uses Membrane to handle credential lifecycles, ensuring your agent always has secure, persistent access to OVHcloud resources.

Built for high-performance and data sovereignty, this skill allows for seamless interaction with the OVHcloud API. Whether you are provisioning new services or managing existing networking records, Openclaw Skills provide a standardized way to interact with cloud providers, making infrastructure as code more accessible through natural language and automated scripts.

OVHcloud Skill for AI Agents Use Cases

  • Automating the deployment and installation of dedicated server templates.
  • Programmatically managing IP addresses and load balancer configurations.
  • Scaling cloud services and managing orders through AI-driven workflows.
  • Integrating OVHcloud data into centralized monitoring and analytics dashboards.
  • Facilitating secure, server-side credential management for multi-agent environments.

How OVHcloud Skill for AI Agents Works

  1. The user installs the Membrane CLI to provide a gateway between the terminal and Openclaw Skills.
  2. Authentication is initiated via a tenant-aware login process that supports various agent types.
  3. A connection is established to the OVHcloud domain, where Membrane handles the OAuth or API key handshake.
  4. The agent polls the connection state until it reaches a READY status, indicating that the handshake and setup are complete.
  5. The agent discovers available tasks using natural language intent searches to find the most efficient action IDs.
  6. Commands are executed through the CLI, with the skill handling all pagination, error mapping, and token refreshing behind the scenes.

OVHcloud Skill for AI Agents Setup

First, install the CLI globally to access the necessary toolset for Openclaw Skills:

npm install -g @membranehq/cli@latest

Next, authenticate your environment. Replace <agentType> with your specific agent, such as openclaw:

membrane login --tenant --clientName=openclaw

Create a secure connection to the OVHcloud API:

membrane connection ensure "https://www.ovh.com/" --json

If the connection state is BUILDING, wait for it to initialize:

npx @membranehq/cli connection get <id> --wait --json

OVHcloud Skill for AI Agents Data Schema & Taxonomy

The skill organizes infrastructure data and interaction metadata using the following schema:

Attribute Description
actionId A unique identifier for specific OVHcloud operations (e.g., listing servers).
connectionId The persistent ID associated with your authenticated OVHcloud account.
inputSchema A JSON-based definition of the parameters required for a specific action.
outputSchema The structure of the data returned from the OVHcloud API after execution.
intent A natural language string used to discover actions within the skill ecosystem.

OVHcloud Skill for AI Agents Advanced Features

  • Transparent credential refresh that handles expired tokens without interrupting agent workflows.
  • Proxy request support for direct API interaction when custom endpoints are required.
  • Machine-readable JSON output for every command to support complex automation pipelines.
  • Natural language action discovery to minimize token usage by finding pre-built logic for cloud tasks.
  • Multi-tenant support allowing agents to switch between different OVHcloud environments seamlessly.

SKILL.md


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