Research & Data · Marketing

Coupler Io MCP Server logo

Coupler Io MCP Server

railsware/coupler-io-mcp-server

The official Coupler.io MCP server is a Model Context Protocol server for seamless integration with the Coupler.io API, supporting data retrieval and analysis from a variety of business data sources and providing data support for AI tools.

Install

Client configuration

{
  "mcpServers": {
    "coupler": {
      "command": "docker",
      "args": [
        "run",
        "--pull=always",
        "-e",
        "COUPLER_ACCESS_TOKEN",
        "--rm",
        "-i",
        "<value>"
      ],
      "env": {
        "COUPLER_ACCESS_TOKEN": "<COUPLER_ACCESS_TOKEN>"
      }
    }
  }
}

Environment variables

COUPLER_ACCESS_TOKEN
Category
Research & Data, Marketing
License
MIT
Updated
Oct 6, 2026

About Coupler Io MCP Server

Chat with your business data inside the AI assistant you already use. The Coupler.io Model Context Protocol (MCP) server connects your Coupler.io data flows — built from 400+ sources like Google Ads, Facebook, HubSpot, Salesforce, Stripe, Shopify, GA4 and more — to your AI tool, so you can ask questions about your marketing, sales, finance and product data in plain language.

Every answer is backed by Coupler.io's Analytical Engine: the AI never queries your source systems directly — it asks Coupler.io, which executes the query, verifies the calculations, and returns only validated results.

Tools (17)

  • get-data

    Query a Coupler.io data flow's data (the data table) with read-only SQL.

  • get-schema

    Get the typed column schema and AI context for a data flow / dataset.

  • list-datasets

    Discover available datasets, optionally filtered by data flow.

  • search-datasets

    Search across datasets to find relevant data.

  • get-dataflow

    Get a data flow's current state, sources, and destinations.

  • list-templates

    Discover prebuilt templates by source, metric, or category.

  • run-dataflow

    Trigger a data flow run to refresh its data.

  • update-dataset

    Persist an AI-context (markdown) description for a dataset.

  • update-dataset-schema

    Update a dataset's schema definition.

  • get-skill

    Fetch a skill's full procedure by name.

  • get-integration

    Get an integration's parameters, auth requirements, and options.

  • get-integration-field-options

    Resolve dynamic option values for an integration field.

  • create-dataflow

    Create a new, empty data flow.

  • create-dataflow-from-template

    Create a data flow from a template.

  • create-dataflow-source

    update-dataflow-source — Add or modify a data flow's source.

  • create-dataflow-destination

    update-dataflow-destination — Add or modify a data flow's destination.

  • list-dataflows

    Lists data flows that have an AI destination.

Details on this page are taken from the project's README. Open README

Supported clients

Clients mentioned in this server's README:

View all
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Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.

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Cursor

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The first agentic IDE. The Cursor editor truly merges how developers and AI work together, delivering a magical coding experience.

WindowsMacOSLinux

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