NetraFlow
Integrations

MCP Server

Let AI assistants analyze videos directly through Claude, Cursor, or Windsurf.

The NetraFlow MCP server lets AI assistants submit and retrieve video analyses directly. No SDK installation required — it runs via npx.

Prerequisites

  • Node.js 22+
  • A NetraFlow API key

IDE configuration

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "netraflow": {
      "command": "npx",
      "args": ["-y", "@netraflow/mcp-server"],
      "env": {
        "NETRAFLOW_API_KEY": "sk_live_your_key_here"
      }
    }
  }
}

Add to .cursor/mcp.json in your project root:

{
  "mcpServers": {
    "netraflow": {
      "command": "npx",
      "args": ["-y", "@netraflow/mcp-server"],
      "env": {
        "NETRAFLOW_API_KEY": "sk_live_your_key_here"
      }
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "netraflow": {
      "command": "npx",
      "args": ["-y", "@netraflow/mcp-server"],
      "env": {
        "NETRAFLOW_API_KEY": "sk_live_your_key_here"
      }
    }
  }
}

Available tools

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Environment variables

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