VideoVector MCP Server

Overview

VideoVector MCP Server connects the VectorMethods VideoVector media intelligence API to any MCP-compatible AI assistant. Once installed, your AI can call VideoVector's tools directly within conversations and agent workflows, letting the model decide when to leverage media intelligence capabilities.

The server runs locally via the npm package @vectormethods/videovector-mcp-server, communicating with your AI assistant over stdio. You'll need a VIDEOVECTOR_API_KEY to authenticate with the API. The latest release is v2.1.2.

VideoVector MCP Server sits in the Development category on mcp.site and works with MCP clients including Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, and Zed. If you maintain this server for VectorMethods, claim your listing here to verify ownership and keep information up to date.

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "videovector_mcp_server": {
      "command": "npx",
      "args": [
        "-y",
        "@vectormethods/videovector-mcp-server"
      ],
      "env": {
        "VIDEOVECTOR_API_KEY": "<videovector-api-key>"
      }
    }
  }
}

Requires VIDEOVECTOR_API_KEY