A powerful integration that enables AI agents to manage Mendix data, monitor environments, and automate low-code application lifecycles using the Membrane framework.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mendix
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 mendix 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 Mendix Integration Skill?
The Mendix integration for Openclaw Skills empowers developers to bridge the gap between AI-driven automation and low-code application development. By leveraging the Membrane CLI, this skill provides a secure and standardized way to interact with Mendix apps, environments, and deployments without manually managing complex authentication headers.
This skill is designed for teams looking to accelerate their digital transformation by allowing AI agents to perform administrative tasks, fetch logs, or trigger deployments within the Mendix ecosystem. It simplifies technical overhead by utilizing pre-built actions that handle pagination and error recovery automatically.
Mendix Integration Skill Use Cases
- Automating the retrieval of application logs for rapid troubleshooting.
- Managing Mendix app versions and deployments through AI-driven commands.
- Synchronizing data between Mendix records and external enterprise systems.
- Monitoring environment health and status updates in real-time.
- Scaling low-code operations by offloading repetitive API tasks to Openclaw Skills agents.
How Mendix Integration Skill Works
- The AI agent utilizes the Membrane CLI to authenticate with the Mendix platform via a secure tenant login.
- A connection is established using a specific Connector ID, which creates a persistent, authenticated link.
- The agent searches for specific Mendix actions based on the user's intent (e.g., fetching records or deploying an app).
- Membrane executes the requested action, managing the full OIDC/OAuth lifecycle and credential refreshing server-side.
- If a specialized task is required, the agent can use proxy requests to hit raw Mendix API endpoints with automatic header injection.
Mendix Integration Skill Setup
First, install the Membrane CLI globally to enable Openclaw Skills to communicate with the platform:
npm install -g @membranehq/cli
Next, authenticate your environment:
membrane login --tenant
To connect to your Mendix instance, find the connector and initialize the link:
# Find the connector ID
membrane search mendix --elementType=connector --json
# Establish the connection
membrane connect --connectorId=CONNECTOR_ID --json
Mendix Integration Skill Data Schema & Taxonomy
The skill organizes interaction through a structured schema of actions and proxy requests. Data returned is typically in JSON format to ensure compatibility with Openclaw Skills workflows.
| Object Type | Description | Key Metadata |
|---|---|---|
| Connection | The authenticated link to Mendix | connectionId, tenant |
| Action | Pre-defined operation (e.g., list logs) | id, inputSchema |
| Request | Direct API proxy call | method, path, query |
All actions are discoverable via the --intent flag, providing the AI agent with the necessary JSON schema to validate inputs before execution.
Mendix Integration Skill Advanced Features
- Transparent credential management ensuring zero local storage of sensitive Mendix API keys.
- Intent-based action discovery to find the most efficient pre-built workflows for Openclaw Skills.
- Full proxy support for custom Mendix API endpoints with automatic base URL appending.
- Headless environment support for CI/CD pipelines and remote server authentication.
- Built-in pagination and error handling for large Mendix data sets.
SKILL.md
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