Xbrush Api MCP Server
@lweight/xbrush-api-mcp
npm
v2.12.0
Published by @lweight — 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 server for the XBrush AI media generation API (image, video, TTS, music, sound effects, lip-sync & talking photos, video extend/retake, LLM chat, content moderation, watermark)
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 37
Each tool and what it can reach — statically extracted from the published source.
xbrush_chatno sensitive capabilityxbrush_check_healthno sensitive capabilityxbrush_content_moderateno sensitive capabilityxbrush_file_uploadno sensitive capabilityxbrush_get_requestno sensitive capabilityxbrush_image_editno sensitive capabilityxbrush_image_enhanceno sensitive capabilityxbrush_image_generateno sensitive capabilityxbrush_image_inpaintno sensitive capabilityxbrush_image_layer_splitno sensitive capability
Show 27 more tools ↓
xbrush_image_outpaintno sensitive capabilityxbrush_image_product_lookupno sensitive capabilityxbrush_image_remove_bgno sensitive capabilityxbrush_image_segment_detectno sensitive capabilityxbrush_image_upscaleno sensitive capabilityxbrush_image_visionno sensitive capabilityxbrush_list_modelsno sensitive capabilityxbrush_list_requestsno sensitive capabilityxbrush_list_voicesno sensitive capabilityxbrush_lora_trainno sensitive capabilityxbrush_media_ffmpegno sensitive capabilityxbrush_media_graphno sensitive capabilityxbrush_media_image_processno sensitive capabilityxbrush_media_infono sensitive capabilityxbrush_music_generateno sensitive capabilityxbrush_sound_effect_generateno sensitive capabilityxbrush_stt_transcribeno sensitive capabilityxbrush_tts_generateno sensitive capabilityxbrush_video_editno sensitive capabilityxbrush_video_extendno sensitive capabilityxbrush_video_generateno sensitive capabilityxbrush_video_lip_syncno sensitive capabilityxbrush_video_retakeno sensitive capabilityxbrush_video_upscaleno sensitive capabilityxbrush_video_visionno sensitive capabilityxbrush_voice_cloneno sensitive capabilityxbrush_watermark_addno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (37 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 |
|---|---|---|---|---|
v2.12.0 latest |
A 99/100 | 0 | 1.13.0 | 2026-09-08 |
v2.11.0 |
A 99/100 | 0 | 1.13.0 | 2026-09-06 |
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.
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