Custom MCP

Custom MCP (Model Context Protocol) lets you expose your Coupler.io data flows via an MCP endpoint that any MCP-compatible client can connect to. Instead of sending data to a traditional database or spreadsheet, you make your data available to AI tools and applications that speak the MCP protocol — enabling custom integrations, conversational analysis, and direct consumption by any MCP client.

Why use Custom MCP as a Coupler.io destination?

  • Protocol-based flexibility — Let any MCP-compatible client access your data without building custom APIs

  • AI-native architecture — Designed for AI tools and applications that need structured data in machine-readable format

  • Direct tool integration — Connect Zapier, n8n, Make, or any custom-made tool that supports MCP protocol

  • Custom workflows — Any MCP client can consume your data for specialized business logic

Prerequisites

  • An MCP-compatible client (e.g., Claude, Cursor, Zapier, n8n, Make, or a custom application)

  • Basic understanding of how to configure your MCP client to connect to an external server

Quick start

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How to connect

1

Start a new data flow. In Coupler.io, click "Create a new data flow" and choose your data source (Google Ads, Shopify, a database — any Coupler.io source works).

2

Select Custom MCP as your destination. From the destination list, search for and select "Custom MCP."

3

Generate your token and copy connection details. Click "Generate token" and copy it along with the MCP server URL that Coupler.io provides.

4

Configure your MCP client. Fill in the JSON config of your MCP client with the token and MCP URL from the previous step. Consult with the example config provided.

5

Run the data flow. Click "Run" to send your data. Once successful, any MCP client configured with your token and URL can access the data.

Supported features

Feature
Supported

Replace mode

Yes

Append mode

No

Automatic scheduling

Yes

Type enforcement

No

Templates

No

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