Generate and edit Happy Horse AI videos through Ace Data Cloud
Mcp-happyhorse is an MCP integration. Generate and edit Happy Horse AI videos through Ace Data Cloud.
The registry lists a streamable-http connection at https://happyhorse.mcp.acedata.cloud/mcp.
The published pypi package is mcp-happyhorse, version 2026.10.12.0. Its declared MCP transport is stdio.
The package declares ACEDATACLOUD_API_TOKEN (required): API token from Ace Data Cloud (https://platform.acedata.cloud).
Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.
View the publisher’s registry entry · Project repository · Project website. This profile uses version 2026.10.12.0 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.
Browse related developer tools MCP servers for tools that cover the same kind of work.
| Variable | Description | Required |
|---|---|---|
| ACEDATACLOUD_API_TOKEN | API token from Ace Data Cloud (https://platform.acedata.cloud) | Yes |
Independent-index web search for assistants — fresh results without the Google API maze.
Manipulates video files using FFmpeg to resize videos and extract audio in various formats.
Analyzes YouTube videos by extracting transcripts, summarizing content, and answering questions using AI.
Retrieves YouTube video URLs from a specified Watch Later playlist within a given timeframe.
Extracts subtitles from YouTube videos using a provided link.
Enables AI assistants to interact with the YouTube API through the Model Context Protocol (MCP).