Coupler.io official MCP server

Name: Coupler.io official MCP server
Author: railsware

@railsware

リポジトリ

Coupler.io official MCP server について

Coupler.io MCP server

#coupler-io #mcp-server #data-integration

基本情報

カテゴリ

その他

ライセンス

MIT license

ランタイム

node

トランスポート

stdio

公開者

railsware

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "coupler": {
      "command": "docker",
      "args": [
        "run",
        "--pull=always",
        "-e",
        "COUPLER_ACCESS_TOKEN",
        "--rm",
        "-i",
        "ghcr.io/railsware/coupler-io-mcp-server"
      ],
      "env": {
        "COUPLER_ACCESS_TOKEN": "<your_token>"
      }
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Coupler.io official MCP server?

The Coupler.io official MCP server is a Model Context Protocol (MCP) server that provides seamless integration with Coupler.io APIs. It is designed for users who need to extract and analyze data from Coupler.io data flows, and is currently in early alpha with incomplete features and subject to breaking changes.

How to use Coupler.io official MCP server?

Run the server in a Docker container using a Coupler.io Personal Access Token. Configure it in Claude Desktop by adding a JSON entry to mcpServers with the Docker command and the COUPLER_ACCESS_TOKEN environment variable.

Key features of Coupler.io official MCP server

Extract data from Coupler.io data flows as SQLite files.
Execute read‑only queries on extracted data flow results.
Retrieve data flow schema files.
Run entirely in a Docker container with STDIO transport.
Authenticate via a Personal Access Token.

Use cases of Coupler.io official MCP server

Analyzing data from Coupler.io data flows by running SQL queries.
Inspecting data flow schemas for validation or debugging.
Automating data extraction from dashboard or dataset template flows.

FAQ from Coupler.io official MCP server

What tools does the server provide?

It provides two tools: get-data (queries a data flow result as a SQLite file) and get-schema (retrieves the data flow schema file). Both require a dataflowId and executionId.