Dataflowr

Verified Integration

Author: @integrating•Category: ServerApplication

GitHub Repository

JSON-RPC 2.0

Protocol Standard

Sub-second

Execution Latency

Active

Operational Status

Client Configuration

— Connect Dataflowr to Claude Desktop or Cursor in seconds

{
  "mcpServers": {
    "dataflowr": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-dataflowr"
      ],
      "env": {}
    }
  }
}

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

Architecture & Capabilities

System Overview

Provides programmatic access to the Deep Learning DIY course content via a command-line interface, REST API, and Model Context Protocol server for AI agent integration.

Indexed Date

7/22/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Dataflowr

Dataflowr provides programmatic access to the Deep Learning DIY course content via a command-line interface (CLI), REST API, and an MCP server, enabling advanced exploration and integration with AI agents.

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