
AI Dance MCP
io.github.rocnubiePublished by GitHub account rocnubiev0.1.0Updated Oct 24, 2026
Turn photos into realistic dance videos with AI motion transfer.
Overview
A read-only local MCP server that gives an assistant reference information about the AI Dance photo-to-dance-video site: styles, pricing, FAQ and official links
- What you can do
- List the image-generation styles and presets the AI Dance site exposes, with no parameters and markdown output. Return the canonical pricing entry point for the service. Return the official links (website, support, docs when available). Expose resources for styles, pricing, a short FAQ and canonical URLs, plus prompts that summarize the site and recommend a starting style for a stated goal.
- When to use it
- Useful when someone asks an assistant about the AI Dance photo-to-dance-video service and you want answers drawn from the site's own styles, pricing and links rather than guesswork. It is a reference lookup only; it does not generate or process any video.
- Requirements
- Runs as a local process over stdio, started with Node.js (installed via the Smithery CLI or from source with pnpm). No API keys, accounts or environment variables are declared.
Installation
In SourceWeft
- Open AI Dance MCP in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
AI Dance MCP Server
AI Dance Generator - Make Any Photo Dance Online
[MCP Badge] [License: MIT] [Read Only] [Stdio Transport] [MCP]
A Model Context Protocol server that exposes the canonical AI Dance knowledge surface — image generation workflows and styles, pricing, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.
Official website: https://aidance.live
🎨 About AI Dance
AI Dance Live (aidance.live) is a web-based tool that turns static portrait photos into animated dance videos using AI motion transfer. Users upload a photo of a person, pet, or illustrated character, choose a dance style from a built-in choreography library or provide their own reference clip, and the platform generates a finished video — typically within minutes. The underlying models handle skeletal mapping, motion choreography extraction, and audio synchronization, producing output that keeps the subject's face and appearance consistent throughout the animation. Videos are exported in MP4 format at 720p or 1080p resolution, in clips up to 30 seconds long.
Key Features
- Motion library with multiple dance styles — pre-loaded choreographies including hip-hop, K-pop, salsa, ballet, folk dances, and trending short-form routines, selectable without any technical setup.
- Custom reference video upload — users can supply their own dance clip as the motion source, giving full control over the choreography.
- Face preservation — the generation pipeline maintains the subject's facial identity and appearance frame-by-frame rather than drifting over time.
- Audio synchronization — generated dance animation is matched to the original audio track of the chosen choreography or uploaded reference.
- Video extension and upscaling — additional post-generation tools allow lengthening the clip or increasing output resolution beyond the default.
- Powered by Kling Motion Control and Wan Animate models — the platform uses established video generation models focused on motion precision rather than general-purpose image animation.
Use Cases
- Short-form social content — creating TikTok videos, Instagram Reels, or YouTube Shorts where a still photo is animated to match a trending dance or audio clip.
- Brand and mascot animation — turning a company mascot, illustrated character, or product spokesperson photo into a dancing promotional clip without a production team.
- E-commerce and product marketing — animating product models or lifestyle photos to make catalog content more dynamic for ads and landing pages.
- Personal and family entertainment — making novelty videos from photos of babies, pets, or family members dancing to a favorite song.
- Content creators without dance skills — producing dance-format content for channels or accounts where the creator cannot or prefers not to appear on camera performing.
Who Is It For
AI Dance Live is aimed at social media creators, digital marketers, and small business owners who want to produce animated video content without filming, choreographing, or editing expertise. The tool requires no prior video production knowledge — the workflow is upload, select, generate, download. It suits individuals who need a fast turnaround on short-form video for platforms like TikTok and Instagram, as well as brand teams looking for a lightweight way to animate existing photo assets for campaigns. Anyone who regularly works with portrait images and wants to add motion to them for entertainment or marketing purposes will find the site's focused toolset practical.
Tools
list_styles
Return the canonical list of image-generation styles or presets the site exposes. (AI Dance)
Input: no parameters. Returns: text/markdown.
get_pricing
Return the canonical pricing entry point for AI Dance.
Input: no parameters. Returns: text/markdown.
get_official_links
Return the canonical list of official links for AI Dance (website, support, docs when available).
Input: no parameters. Returns: text/markdown.
Resources
site://aidance/styles— Supported image-generation styles and presets.site://aidance/pricing— Canonical pricing entry point.site://aidance/faq— Short FAQ generated from public site metadata.site://aidance/links— Canonical URLs to share with users.
Prompts
tell_me_about_aidance
Summarize what the site is, who it's for, and how it works. — AI Dance
try_image_style_aidance
Recommend a starting image-generation style for a stated goal. — AI Dance
Installation
Install via Smithery
(Replace claude with cursor, windsurf, or continue for those clients.)
Install from source
Then add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):
Debug with MCP Inspector
Official Links
- Website: https://aidance.live
- Pricing: https://aidance.live/pricing
- Community: https://discord.gg/HQNnrzjZQS
- Support: [email protected]
Development
License
MIT
Source: README.md at commit 8495c60
Tools
0Version history
1- v0.1.0LatestSep 16, 2026
Score
50% 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 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts