mcp-manimgl
PyPI
v0.1.2
Published by dclavijo — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 7 = 93. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −6 | capability blast radius (high) — client exposure if the model is manipulated |
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
| ✓ | inspection depth (source) — how much of the target the scan could see |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
In the server's implementation (`src/mcp_manimgl/adapters/manim_adapter.py:93`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: subprocess.run(
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server src/mcp_manimgl/adapters/manim_adapter.py
In the server's implementation (`src/mcp_manimgl/utils/audio_mixer.py:31`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: subprocess.run(
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server src/mcp_manimgl/utils/audio_mixer.py
In the server's implementation (`src/mcp_manimgl/utils/dependency_checker.py:50`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: subprocess.run(
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server src/mcp_manimgl/utils/dependency_checker.py
Each tool and what it can reach — statically extracted from the published source.
add_3d_objectno sensitive capabilityadd_arrowno sensitive capabilityadd_background_musicno sensitive capabilityadd_braceno sensitive capabilityadd_circleno sensitive capabilityadd_coordinate_systemno sensitive capabilityadd_custom_codeno sensitive capabilityadd_decimal_numberno sensitive capabilityadd_dotno sensitive capabilityadd_function_graphno sensitive capabilityadd_labeled_pointno sensitive capabilityadd_lineno sensitive capabilityadd_matrixno sensitive capabilityadd_narrationno sensitive capabilityadd_number_lineno sensitive capabilityadd_parametric_curveno sensitive capabilityadd_polygonno sensitive capabilityadd_rectangleno sensitive capabilityadd_squareno sensitive capabilityadd_texno sensitive capabilityadd_textno sensitive capabilityadd_vectorno sensitive capabilityadd_waitno sensitive capabilityalign_tono sensitive capabilityanimate_fade_inno sensitive capabilityanimate_fade_outno sensitive capabilityanimate_groupno sensitive capabilityanimate_growno sensitive capabilityanimate_indicateno sensitive capabilityanimate_move_along_pathno sensitive capabilityanimate_rotateno sensitive capabilityanimate_scaleno sensitive capabilityanimate_set_colorno sensitive capabilityanimate_shiftno sensitive capabilityanimate_transformno sensitive capabilityanimate_writeno sensitive capabilityaudio_durationno sensitive capabilityclear_sceneno sensitive capabilitycreate_sceneno sensitive capabilitygenerate_scene_scriptno sensitive capabilityget_render_resultno sensitive capabilityget_render_statusno sensitive capabilityget_scene_infono sensitive capabilitymove_tono sensitive capabilitynext_tono sensitive capabilityrender_sceneno sensitive capabilityrestore_stateno sensitive capabilityrotateno sensitive capabilitysave_frameno sensitive capabilitysave_stateno sensitive capabilityscaleno sensitive capabilityset_camerano sensitive capabilityset_colorno sensitive capabilityset_configno sensitive capabilityset_opacityno sensitive capabilityshiftno sensitive capabilityverify_scene_overlapsno sensitive capabilityverify_videono sensitive capabilityScan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.1.2 latest |
A 93/100 | 3 | 1.8.0 | 2026-07-23 |
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
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