A comprehensive integration allowing AI agents to manage projects and execute complex GraphQL operations on the Grafbase serverless platform.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install grafbase
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 grafbase 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 Grafbase?
Grafbase is a high-performance serverless GraphQL platform that empowers developers to build and deploy global data meshes with integrated edge caching. This integration for Openclaw Skills enables seamless interaction with the Grafbase API through the Membrane ecosystem, abstracting away the complexities of authentication and token management. By utilizing this skill, developers can programmatically manage project secrets, cache rules, and rate limits while executing data-driven operations with minimal overhead.
The core value of this skill lies in its ability to provide a secure, scalable bridge between AI agents and serverless backends. Whether you are building modern web applications or complex mobile backends, this integration ensures that your data fetching logic is optimized and your credentials remain protected through server-side management.
Grafbase Use Cases
- Running complex GraphQL queries and mutations against serverless backends.
- Introspecting GraphQL schemas to dynamically discover available data types and operations.
- Managing serverless project configurations including cache groups and rate limit rules.
- Executing batch GraphQL operations to reduce network latency in data-intensive tasks.
- Integrating serverless data mesh capabilities into automated AI agent workflows.
How Grafbase Works
- The integration initializes via the Membrane CLI, establishing a secure session through a tenant login.
- A persistent connection is created to the Grafbase connector, which handles all OAuth or API key handshakes server-side.
- The AI agent searches for specific GraphQL actions based on intent, such as querying data or modifying schema types.
- Operations are dispatched through Membrane actions, which automatically inject the necessary authentication headers.
- For custom requirements, the skill utilizes a proxy request system to communicate directly with Grafbase endpoints while maintaining automatic credential refresh.
Grafbase Setup
Follow these steps to configure the Grafbase integration for your Openclaw Skills environment:
# Install the required CLI tools
npm install -g @membranehq/cli
# Authenticate your environment
membrane login --tenant
# Search for and connect the Grafbase connector
membrane search grafbase --elementType=connector --json
membrane connect --connectorId=CONNECTOR_ID --json
Grafbase Data Schema & Taxonomy
The integration organizes Grafbase resources into a structured hierarchy for easy access through Openclaw Skills:
| Resource Type | Description |
|---|---|
| Project | The primary container for serverless GraphQL services. |
| Cache Rule | Defines how data is cached at the edge for performance. |
| Rate Limit Group | Manages API usage tiers and throttling policies. |
| Schema Types | Detailed metadata about the GraphQL objects and scalars. |
| Secrets | Encrypted environment variables for project-level security. |
Grafbase Advanced Features
- Intent-based action discovery to find the most efficient GraphQL operations automatically.
- Transparent credential management that eliminates the need to handle local secrets or API keys.
- Batch operation support for executing multiple GraphQL documents in a single request.
- Direct API proxying with automatic header injection for advanced custom integrations.
- Built-in schema introspection to help AI agents understand the data structure without manual mapping.
SKILL.md
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