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OpenToonz MCP

PYPI · OPENTOONZ-MCP

Animate in OpenToonz from an AI assistant: native vector levels, xsheet timing, rigs and physics.

Available components

75 Trust /100

Last scanned (15 hours ago)

Scores higher than 72% of PyPI servers

Category Design and Media

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
  • 1 of 33 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency100
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to konkomaji/opentoonz-mcp). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 1 days ago).Pass
  • Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability56
  • AI-judged instruction clarity (fair).Partial
  • Context-footprint check failed: tool/resource definitions use about 5945 tokens (~114/item across 52 items; 52 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management3
  • Stability observed for 1 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (10% of tools); any adoption earns full credit.Pass
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 3 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "delete_layer" implies "delete" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 53 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 23 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 0 to 3. That category is still filling its 30-day observation window: 0 days of observed history at the previous scan, 1 at this one. The score rises as the window fills, whether or not the server changes.

  • 22 Oct 26 74

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 23 Oct 2026 · Analysed pypi/opentoonz-mcp@0.1.0

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem pypi
Reason Verified
Discovered via Registry attestation endpoint
Source repo konkomaji/opentoonz-mcp
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/konkomaji/opentoonz-mcp/.github/workflows/release.yml@refs/tags/v0.1.0
Rekor log index 3381374139
Predicate type PyPI publish attestation https://docs.pypi.org/attestations/publish/v1
Subject digest sha256:2044b03f224bdb62feda4d29a8f300506bf762b04a55abd612be4754f67a934c

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build

Background: Why install scripts are a supply-chain risk →

Dependencies 33 packages
Packages resolved 33
Stale 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 52 exposed · ~5,785 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
validate_scene ~60

Double-check a scene: structure, missing files, layer/column mapping, timing gaps, studio rule warnings (holds, pan speed), and optionally a 1-frame test render.

NameTypeReqDescription
render_testboolean––
scenestringyes–

No output schema declared.

No examples provided.

walk_cycle ~368

Walk a build_character rig with biomechanically correct timing for its age and sex. Feet stay planted and roll heel -> flat -> ball -> toe; legs use two-bone IK; the hips ride an inverted-pendulum arc (low at contact, high at passing); arms swing opposite the legs. Defaults come from gait studies (e.g. adult man 108 steps/min at 1.4 m/s; toddler 154 at 0.86; old age shorter steps). speed m/s, cadence steps/min override them. cycles (default 2) or end. travel=false walks in place (pan the BG). on=2 holds every pose 2 frames (keys become constant). bounce, arm_swing scale the motion (1 = natural; >1 = cartoon); lean adds forward trunk lean (deg). mood (Williams beat chart and character walks): natural | brisk | stroll (16 frames a step) | tired (20, head down, low clearance) | proud (chest out) | happy (double bounce) | sneak (crouched, 24 frames) | heavy (long contact, deep down) | cartoon (8 frames). speed/cadence still override. Returns the self-check: cadence, step length, vertical oscillation, knee flexion, foot slip.

NameTypeReqDescription
arm_swingnumber––
bouncenumber––
cadence–––
characterstringyes–
cycles–––
end–––
leannumber––
moodstring––
oninteger––
phasenumber––
scenestringyes–
speed–––
startinteger––
travelboolean––

No output schema declared.

No examples provided.

Install

How do I install the OpenToonz MCP server?

OpenToonz MCP runs locally as a PyPI package, launched with uvx opentoonz-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · opentoonz-mcp

# add to Claude Code
claude mcp add konkomaji-opentoonz-mcp -- uvx opentoonz-mcp
Common questions

What is the OpenToonz MCP server?

OpenToonz MCP is listed in the public MCP registry as io.github.konkomaji/opentoonz-mcp. Animate in OpenToonz from an AI assistant: native vector levels, xsheet timing, rigs and physics. This page covers its PyPI package (opentoonz-mcp).

Is the OpenToonz MCP server safe to use?

OpenToonz MCP scores 75 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 23 October 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the OpenToonz MCP server expose?

OpenToonz MCP exposes 52 tools: opentoonz_info, scene_context, add_note, get_journal, style_guide, and 47 more. Their descriptions and schemas cost roughly 5,785 tokens of context every time the server is loaded.

Is the OpenToonz MCP server still maintained?

OpenToonz MCP is still listed as active in the MCP registry. We last reached this channel on 23 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the OpenToonz MCP server under?

OpenToonz MCP declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.