A read-only data integration skill that allows AI agents to query Coupler.io data flows using SQL.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install coupler-io
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 coupler-io 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 Coupler.io?
The Coupler.io skill acts as a bridge between your automated data flows and the Openclaw Skills ecosystem. By implementing a Model Context Protocol (MCP) server, it provides AI agents with a secure, read-only window into structured data collected from hundreds of sources. This enables developers to build intelligent systems that can fetch real-time business metrics, perform schema discovery, and execute targeted SQL queries without manual data handling.
Designed for high-performance data retrieval, this integration allows Openclaw Skills to interact with data snapshots efficiently. It simplifies the process of bringing external data into the agent's context, ensuring that your AI models are always working with the most current information available in your Coupler.io account.
Coupler.io Use Cases
- Automating business intelligence reports within Openclaw Skills by querying live data flows.
- Enabling AI agents to perform complex data analysis using SQL syntax on structured datasets.
- Verifying data schemas and column mapping across multiple cloud data sources.
- Building custom monitoring dashboards that utilize the Openclaw Skills framework to interpret Coupler.io metrics.
How Coupler.io Works
- The user authenticates their Coupler.io account through the mcporter CLI using a PKCE OAuth flow.
- Openclaw Skills identifies available data flows that have been specifically configured with an OpenClaw destination.
- The agent requests flow details to obtain the latest successful execution ID.
- The agent retrieves the schema to map abstract column IDs (like col_0) to human-readable names.
- Structured SQL queries are executed against the data to return specific results to the AI environment.
Coupler.io Setup
To get started with this skill, ensure you have the mcporter CLI installed. Run the following command to authenticate and configure the server in a single step:
mcporter auth --http-url https://mcp.coupler.io/mcp --persist config/mcporter.json
After authentication, verify that your config/mcporter.json contains the "auth": "oauth" property for the server entry to ensure persistent access for your Openclaw Skills. You can verify the tools are active by running:
mcporter list mcp-coupler-io-mcp
Coupler.io Data Schema & Taxonomy
The skill organizes Coupler.io data into a relational format accessible via SQL. Key components include:
| Component | Description |
|---|---|
| Data Table | All queries are performed against a virtual table named data. |
| Execution ID | A unique identifier for a specific version or snapshot of the data flow. |
| Schema Map | Metadata that links system column names (e.g., col_1) to the original data source headers. |
| Tools | Includes list-dataflows, get-dataflow, get-schema, and get-data for full lifecycle management. |
Coupler.io Advanced Features
- Automatic OAuth token refresh handled natively by mcporter for uninterrupted Openclaw Skills workflows.
- Support for streamable HTTP transport to handle data retrieval without the overhead of standard SSE.
- SQL-based filtering allows agents to request only the specific rows and columns needed, optimizing token usage.
- Zero-configuration required for flows already set to the OpenClaw destination within the Coupler.io dashboard.
SKILL.md
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