OpenToonz MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 370 installs a week from pypi. Last commit 22 Oct 2026.
Animate in OpenToonz from an AI assistant: native vector levels, xsheet timing, rigs and physics.
What the code does
We read the source, 2 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
return curve(t) + drop + extra
env = dict(os.environ, TEMP=str(TMP), TMP=str(TMP))
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
This code can reach further than it looks
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Connect this server
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add opentoonz-mcp -- uvx opentoonz-mcp{
"mcpServers": {
"opentoonz-mcp": {
"command": "uvx",
"args": [
"opentoonz-mcp"
]
}
}
}[mcp_servers.opentoonz-mcp]
command = "uvx"
args = ["opentoonz-mcp"]{
"mcpServers": {
"opentoonz-mcp": {
"command": "uvx",
"args": [
"opentoonz-mcp"
]
}
}
}{
"servers": {
"opentoonz-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"opentoonz-mcp"
]
}
}
}Optional settings from the registry entry, left out of the block above:
OPENTOONZ_HOME (Folder containing OpenToonz.exe and tcomposer.exe (auto-detected when unset)), OPENTOONZ_STUFF (OpenToonz stuff folder, TOONZROOT (auto-detected from the registry when unset)), OTMCP_WORK (Where the server keeps state, undo snapshots, renders and learned lessons).
Alternatives to OpenToonz MCP
same job, measured the same wayMemory for AI assistants in one SQLite file: full-text search, no vectors, no embeddings.
Generate and vectorize clean, editable SVG graphics from text, images, or both.
Team engineering memory for AI coding assistants. 47 MCP tools, pgvector semantic search.
Private on-device memory & retrieval for AI assistants — offline vector + lexical search.
File-first, local-first MCP memory for AI coding assistants: Markdown + YAML, no vector DB.
Persistent memory for AI coding agents. Local-first SQLite + vector search. 17 MCP tools.
Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.
MCP memory server for AI coding assistants. Windows Service, ONNX embeddings, SQLite vector search.
OpenToonz MCP — questions
Answers built from our own checks of this server.