anatomy-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@anatomy-mcpRead the anatomy skill instructions, then build the closest example with audit until it passes."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
anatomy-mcp
MCP server wrapping the Anatomy skill (crafted, interactive isometric figures that explain an idea as a real, working object) using FastMCP.
Anatomy is a Claude skill, not a CLI: instructions (SKILL.md),
references, a Node drawing kit (kit/), verification scripts
(scripts/capture.mjs, drive.mjs, lines.mjs) and eight example figures.
This server exposes that surface as MCP tools, so any MCP client can read the
skill's knowledge, study examples, build and audit figures, capture and check
them in headless Chrome, and prepare a gallery publish.
Prerequisites
Python 3.10+
Node.js 20.10+ on PATH (the kit and scripts use only built-in modules)
A checkout of the Anatomy repo — set
ANATOMY_REPO_DIRto its pathChrome or Chromium (only for the capture / drive / line-check tools; the scripts find it via
CHROME_PATHor a system install)
Related MCP server: win-shell-mcp
Install
pip install -e .Run
export ANATOMY_REPO_DIR=/path/to/anatomy
anatomy-mcp # stdio, for MCP clients
anatomy-mcp --transport http --host 0.0.0.0 --port 8000Tools
Knowledge (no Chrome needed):
anatomy_skill_instructions— full SKILL.md; read before any figureanatomy_reference(name)— one of craft, kit, motion, react, verify, webgl, walkthrough, 3d, publish (or SKILL)anatomy_list_references/anatomy_list_examples— inventoriesanatomy_example_source(name, file?)— an example's build script, or a React example's figure.tsx / geometry.ts / rig.ts / live.tsx / view.tsanatomy_repo_file(path)— any file in the repo (kit/, scripts/, ...)
Build and audit (Node, no Chrome):
anatomy_build_example(name, light?, audit?)— run an example'sbuild.mjs(--light,--auditmust endaudit passed)anatomy_build_figure(build_script, light?, audit?)— run any figure's own build script from its folder
Verification (need Chrome):
anatomy_capture(page, out, ...)— headless-Chrome screenshot with zoom, hover and key options (scripts/capture.mjs)anatomy_drive(page, actions, ...)— scripted interaction: move, click, drag, key, slow motion, until, eval, shot, lines, turn, orbit, sheet (scripts/drive.mjs)anatomy_line_check(page, out?)— every texture line must end on something;line ends: 0(scripts/lines.mjs)
Publish:
anatomy_publish_prep(...)— copy a finished figure into a local clone of the community gallery and print the PR commands; nothing is pushed (scripts/publish.mjs)
All tools return JSON; command output and exit codes are passed through unchanged so failures stay diagnosable.
Typical workflow
anatomy_skill_instructions, then the closest example's sourceWrite the figure's build script against
kit/iso-kit.mjsanatomy_build_figurewithaudit=trueuntilaudit passedanatomy_capture(dark + light, desktop + 390px phone, zoom close-ups) andanatomy_line_checkuntilline ends: 0anatomy_publish_preponly when the user asks to publish
License
MIT
This server cannot be deployed
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