OpenClaw · Skill

Coupler Io

Read-only data access via Coupler.io's MCP server.

DevOps & Cloud
v1.1.2
VirusTotal: Benign

Install

Start with the primary install command. Alternate entrypoints are included below for ClawHub and OpenClaw CLI users.

Primary command

clawhub install nika-is-nika/coupler-io

ClawHub installer

npx clawhub@latest install nika-is-nika/coupler-io

OpenClaw CLI

openclaw skills install nika-is-nika/coupler-io

Direct OpenClaw install

openclaw install nika-is-nika/coupler-io

What this skill does

Read-only data access via Coupler.io's MCP server.

Why it matters

Lets agents query Coupler.io-synced data with SQL directly, without exporting files or configuring a separate database connection.

Typical use cases

  • Querying synced spreadsheet data with SQL
  • Checking column schema of a data flow before analysis
  • Listing active flows to locate a specific dataset
  • Pulling filtered rows from a synced data source
  • Retrieving the last successful execution ID for a flow

Source instructions

Coupler.io

Read-only data access via Coupler.io's MCP server.

Author: Coupler.io Team Homepage: coupler.io

Prerequisites

  • mcporter CLI installed and on PATH
  • Coupler.io account with at least one data flow configured to OpenClaw destination

Quick Reference

mcporter call mcp-coupler-io-mcp.list-dataflows
mcporter call mcp-coupler-io-mcp.get-dataflow dataflowId=<uuid>
mcporter call mcp-coupler-io-mcp.get-schema executionId=<exec-id>
mcporter call mcp-coupler-io-mcp.get-data executionId=<exec-id> query="SELECT * FROM data LIMIT 10"

Connection Setup

Endpoint verification: This skill connects to auth.coupler.io (OAuth) and mcp.coupler.io (MCP data). These are official Coupler.io endpoints. You can verify them via your Coupler.io account (AI integrations page).

Transport: This MCP uses streamable HTTP, not SSE. If you see "SSE error" in output, ignore the misleading label — it's still HTTP.

1. Authenticate and add server in one step

Do not use mcporter config add followed by mcporter auth separately — this creates a config entry without auth metadata and causes a 401 loop. Instead, do it all in one command:

mcporter auth --http-url https://mcp.coupler.io/mcp --persist config/mcporter.json

This auto-detects OAuth, opens the browser for Coupler.io login (PKCE flow), and saves the server definition + tokens on success.

To re-authenticate or clear stale tokens:

mcporter auth --http-url https://mcp.coupler.io/mcp --persist config/mcporter.json --reset

2. Ensure "auth": "oauth" is in config

After auth, check config/mcporter.json. mcporter won't use cached tokens unless the entry has "auth": "oauth". It should look like:

{
  "mcpServers": {
    "mcp-coupler-io-mcp": {
      "baseUrl": "https://mcp.coupler.io/mcp",
      "auth": "oauth"
    }
  }
}

If "auth": "oauth" is missing, add it manually.

3. Verify

mcporter list mcp-coupler-io-mcp

Should return 4 tools: get-data, get-schema, list-dataflows, get-dataflow.

Note: The server name is auto-generated as mcp-coupler-io-mcp from the URL. Use this name in all subsequent commands.


Token Refresh

mcporter handles token refresh automatically on 401 errors. No manual intervention needed.

If you need to force a fresh token: mcporter auth mcp-coupler-io-mcp --reset


MCP Tools

list-dataflows

List all data flows with OpenClaw destination.

mcporter call mcp-coupler-io-mcp.list-dataflows --output json

get-dataflow

Get flow details including lastSuccessfulExecutionId.

mcporter call mcp-coupler-io-mcp.get-dataflow dataflowId=<uuid> --output json

get-schema

Get column definitions. Column names are in columnName (e.g., col_0, col_1).

mcporter call mcp-coupler-io-mcp.get-schema executionId=<exec-id>

get-data

Run SQL on flow data. Table is always data.

mcporter call mcp-coupler-io-mcp.get-data executionId=<exec-id> query="SELECT col_0, col_1 FROM data WHERE col_2 > 100 LIMIT 50"

Always sample first (LIMIT 5) to understand structure before larger queries.


Typical Workflow

# 1. List flows, find ID
mcporter call mcp-coupler-io-mcp.list-dataflows --output json

# 2. Get execution ID
mcporter call mcp-coupler-io-mcp.get-dataflow dataflowId=<id> --output json

# 3. Check schema
mcporter call mcp-coupler-io-mcp.get-schema executionId=<exec-id>

# 4. Query
mcporter call mcp-coupler-io-mcp.get-data executionId=<exec-id> query="SELECT * FROM data LIMIT 10"

Constraints

  • Read-only: cannot modify flows, sources, or data
  • Only flows with OpenClaw destination are visible
  • Tokens expire in 2 hours (mcporter refreshes automatically)

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