Ascii Motion MCP Server
ascii-motion-mcp
npm
v2.2.0
Published by cameronfoxly — 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.
MCP (Model Context Protocol) server for Ascii-Motion - enabling LLM-powered tools to create, animate, import, and export ASCII art
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 − 1 = 99. 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 |
|---|---|
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
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.
Findings 0
Tools 97
Each tool and what it can reach — statically extracted from the published source.
add_content_frameno sensitive capabilityadd_effect_blockno sensitive capabilityadd_effect_keyframeno sensitive capabilityadd_frameno sensitive capabilityadd_keyframeno sensitive capabilityadd_layerno sensitive capabilityapply_effectno sensitive capabilityapply_to_selectionno sensitive capabilitybatch_recolorno sensitive capabilitybatch_replace_charno sensitive capability
Show 87 more tools ↓
clear_canvasno sensitive capabilityclear_cellno sensitive capabilityclear_selectionno sensitive capabilitycompare_framesno sensitive capabilitycopy_frame_and_modifyno sensitive capabilitycopy_region_to_frameno sensitive capabilitycreate_groupno sensitive capabilitydelete_frameno sensitive capabilitydelete_selection_contentno sensitive capabilitydescribe_animationno sensitive capabilityduplicate_frameno sensitive capabilityduplicate_layerno sensitive capabilityexport_ansino sensitive capabilityexport_bubbleteano sensitive capabilityexport_htmlno sensitive capabilityexport_imageno sensitive capabilityexport_inkno sensitive capabilityexport_jsonno sensitive capabilityexport_opentuino sensitive capabilityexport_reactno sensitive capabilityexport_sessionno sensitive capabilityexport_textno sensitive capabilityexport_videono sensitive capabilityfill_regionno sensitive capabilityflip_regionno sensitive capabilityget_active_colorsno sensitive capabilityget_auth_tokenno sensitive capabilityget_canvas_asciino sensitive capabilityget_canvas_previewno sensitive capabilityget_canvas_renderno sensitive capabilityget_canvas_summaryno sensitive capabilityget_cellno sensitive capabilityget_character_paletteno sensitive capabilityget_color_paletteno sensitive capabilityget_color_statsno sensitive capabilityget_connection_statusno sensitive capabilityget_effect_blocksno sensitive capabilityget_frame_diffno sensitive capabilityget_history_statusno sensitive capabilityget_layer_propertiesno sensitive capabilityget_layersno sensitive capabilityget_project_infono sensitive capabilityget_selectionno sensitive capabilitygo_to_frameno sensitive capabilityimport_ascii_textno sensitive capabilityimport_imageno sensitive capabilityimport_videono sensitive capabilityinterpolate_framesno sensitive capabilitylist_character_palettesno sensitive capabilitylist_color_palettesno sensitive capabilitylist_framesno sensitive capabilitylist_project_filesno sensitive capabilityload_projectno sensitive capabilitynew_projectno sensitive capabilitypaste_ascii_blockno sensitive capabilitypreview_generatorno sensitive capabilityredono sensitive capabilityrefresh_state_from_browserno sensitive capabilityremove_content_frameno sensitive capabilityremove_effect_blockno sensitive capabilityremove_effect_keyframeno sensitive capabilityremove_keyframeno sensitive capabilityremove_layerno sensitive capabilityrename_layerno sensitive capabilityreorder_layersno sensitive capabilityresize_canvasno sensitive capabilityrun_generatorno sensitive capabilitysave_projectno sensitive capabilityselect_by_colorno sensitive capabilityselect_rectangleno sensitive capabilityset_active_layerno sensitive capabilityset_background_colorno sensitive capabilityset_cellno sensitive capabilityset_cells_batchno sensitive capabilityset_foreground_colorno sensitive capabilityset_frame_durationno sensitive capabilityset_frame_nameno sensitive capabilityset_frame_rateno sensitive capabilityset_layer_visibilityno sensitive capabilityset_project_nameno sensitive capabilityset_selected_characterno sensitive capabilityset_timeline_durationno sensitive capabilityshift_frame_contentno sensitive capabilitysuggest_palette_for_styleno sensitive capabilityundono sensitive capabilityungroup_layersno sensitive capabilityupdate_effect_blockno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (97 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Versions 2
Scan 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 |
|---|---|---|---|---|
v2.2.0 latest |
A 99/100 | 0 | 1.13.0 | 2026-09-08 |
v2.1.4 |
A 99/100 | 0 | 1.12.1 | 2026-08-10 |
Embed this score
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.
Verify this score yourself
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.
npx mcptrustchecker scan ascii-motion-mcp --onlineMore in Design & Media
Turn designs into shipped parts: quote 3D printing, CNC, and decals, then check out.
Aleph's official SiliconFlow media-generation MCP server (image / video / TTS)
MCP server for image generation using Google Gemini AI
Ambience AI MCP Server - Generate images, videos, and audio through Model Context Protocol
MCP server exposing every endpoint of the AstroWay Calculation API as tools — natal, synastry, transits, Vedic dashas, Tarot, Numerology, Human Design, AI horoscopes — for Claude Desktop, Cursor and any MCP-compatible AI agent.
Audio-guide and trip-planning tools for 1,100+ cities from Audiala. Free, no API key.