Live2D/Spine-style 2D rigging & animation, built for AI agents. A rig is one JSON file; a deterministic headless renderer, a CLI and an MCP server (16 tools) let an agent author, render, measure and fix it, and a live web editor lets the AI see and drive what you are looking at.
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Rev2D is an MCP server that Live2D/Spine-style 2D rigging & animation, built for AI agents. A rig is one JSON file; a deterministic headless renderer, a CLI and an MCP server (16 tools) let an agent author, render, measure and fix it, and a live web editor lets the AI see and drive what you are looking at. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 38/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"rev2d": {
"args": [
"/absolute/path/to/Rev2D/bin/rev2d.js",
"mcp"
],
"command": "node"
}
}
}Are you the author?
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Demo video: GitHub plays an MP4 inline only when it is uploaded as an attachment, not when it is linked from the repository. Edit this README on github.com, drag docs/media/rev2d-demo.mp4 (65 s, 5 MB) into the editor and wait for the upload: GitHub inserts a https://github.com/user-attachments/assets/ URL. Put that URL on its own line right below the poster link (a bare attachment URL on its own line renders as a video player).
No automated test available for this server. Check the GitHub README for setup instructions.
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Live2D/Spine-style 2D rigging & animation — built for AI agents
English · 한국어
▶ Watch the 1-minute demo · English headlines, Korean captions
*.r2d.json, addressed by id, in canvas pixels. You
can diff it, review it and generate it.--json output, atomic and validated edit
operations, and an MCP server with 18 tools that return renders as images. The whole workflow is
in How AI agents use Rev2D.Rigging tools are built for a mouse and a pair of eyes. Rev2D keeps the concepts of Live2D and Spine and makes each step readable, writable and checkable by a program, so an agent can build a rig and prove it works before it says it is done.
In one line: write the JSON, check it with renders and numbers, fix it with ops, check again. No
human has to look at the pixels for it: the agent sees its results in renders and sheets and
measures them with inspect and analyze.
An agent connects in one of three ways:
| Way in | Use it for | Start here |
|---|---|---|
| MCP server | Claude Code, Claude Desktop and other MCP clients | Connect Claude Code, 18 tools |
| CLI | Any agent with a shell | --json on every command; the guide is AGENTS.md |
| Editor bridge | Working together while a huma |