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open.video MCP

AI-powered video platform management — upload videos, manage channels, track analytics, and organize playlists through any MCP-compatible AI client. Features include OAuth authentication (no API keys required), remote-first cloud-hosted server, and 16 tools for complete video platform management. Works with Claude, Cursor, Windsurf, and any MCP-compatible client.

Reviewed overview

MCP 服务器概览

what is open.video MCP?

open.video MCP is an AI-powered, MCP-compatible server that gives LLM agents full control of a video platform: upload and link videos, manage channels and playlists, generate embed codes, and fetch analytics — all via natural language through any MCP-capable AI client (Claude, Cursor, Windsurf, etc.). It is a remote-first, cloud-hosted server that mediates access to your publishing account.

how to use open.video MCP?

  1. Sign up for an open.video account and create a channel (no credit card required).
  2. Add the open.video MCP server to your client’s MCP config (example mcpServers JSON snippet).
  3. Optionally add the Upload Helper for local file uploads (npx open-video-upload-helper).
  4. Authenticate via OAuth in-browser (scoped tokens) and verify by calling list_channels.
  5. Use any MCP-compatible AI client or upload the provided LLM Skill to teach an LLM how to operate the platform.

key features

  • OAuth browser-based authentication — no API keys required; tokens scoped per upload
  • Remote-first cloud-hosted MCP server (no local install required)
  • 16 MCP tools that cover Videos, Channels, Analytics, and Playlists (upload_video, link_video, get_embed_code, update_video, delete_video, list_videos, list_channels, get_channel, update_channel, upload_channel_image, get_analytics, get_video_status, create_playlist, update_playlist, add_to_playlist, list_playlists)
  • Batch operations and instant commands via natural language (no scripts)
  • Works with any MCP-compatible client and includes an LLM skill for deep automation

use cases

  • Let an LLM agent upload, tag, and publish batches of videos and thumbnails
  • Automate channel management and branding (update channel info, upload images)
  • Generate embed codes and metadata for integration with websites or apps
  • Track performance and engagement metrics via get_analytics and get_video_status
  • Build, edit, and reorder playlists programmatically using natural language
  • Integrate video operations into AI workflows for content teams, educators, or creators

FAQ

  • Q: How do I authenticate? A: OAuth browser sign-in with scoped tokens; no API keys are required.

  • Q: Which AI clients are supported? A: Any MCP-compatible client (examples: Claude, Cursor, Windsurf, Claude Desktop connectors).

  • Q: How long does setup take? A: The docs claim you can connect in under 2 minutes by adding the MCP server to your config and completing OAuth.

  • Q: Can I upload local files? A: Yes — use the Upload Helper (npx open-video-upload-helper) as a secondary MCP server for local file uploads.

  • Q: Is there an LLM integration or skill? A: Yes — a downloadable Open.Video LLM skill file is provided to teach LLMs how to use the platform.

  • Q: Do I need to self-host? A: No — open.video MCP is remote-first and cloud-hosted, so nothing needs to be installed locally unless you use the upload helper.

  • Q: What about pricing? A: Sign-up and channel creation note “no credit card required”; specific pricing plans are not detailed in the MCP overview — check the docs/website for current pricing.