Video Loom

io.github.WolflangisPublished by GitHub account Wolflangisv0.1.0Updated Oct 24, 2026

Turn audio or text into a finished AI music video: narrative, multi-provider clips, final cut.

VerifiedStreamable HTTPWeb executableMedia & Design

Overview

AI-generated overview

Video Loom is a remote MCP server that turns audio or text into a finished AI music video, from narrative through multi-provider clips to the final cut.

What you can do
Turn audio or text input into an AI music video project, including the narrative behind it. Generate video clips through multiple providers. Assemble the generated clips into a final cut. The manifest lists no individual tools, so the exact operations available to an assistant are not documented here.
When to use it
Useful when you want an assistant to help produce a music video from an existing song or a written idea, and you are comfortable with the work happening on a hosted service rather than locally.
Requirements
A remote MCP endpoint at app.videoloom.studio, reached over streamable HTTP. No packages, environment variables, headers or authentication are declared, but the hosted service may still require its own account or sign-in.
Before you install
Audio or text you submit is sent to a third-party hosted service and to the external clip providers it uses. Generation may consume paid credits or quota, and the manifest declares no authentication, so check how access and billing are controlled before connecting.

Installation

In SourceWeft

  1. Open Video Loom in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.Wolflangis%2Fvideo-loom/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "video-loom": {
      "type": "http",
      "url": "https://app.videoloom.studio/mcp"
    }
  }
}

README

This repository has no README.

Tools

0
SourceWeft has not read this server's tools yet.

Version history

1
  1. v0.1.0LatestSep 16, 2026

Score

60% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • License10 pts

    Declare a license in the repository or the registry entry.