Kie Ai (contextarchitect) MCP Server
@contextarchitect/kie-ai-mcp-server
npm
v3.2.0
Published by @contextarchitect — 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 Kie.ai APIs — fork of @felores/kie-ai-mcp-server with OpenAI GPT Image 2 support added (25 AI tools: Nano Banana image generation/editing, GPT Image 2 text-to-image/image-to-image, Veo3 video generation, Suno music generation, ElevenLabs TT
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 53
Each tool and what it can reach — statically extracted from the published source.
Active Generation Tasksno sensitive capabilityByteDance Seedance 2.0no sensitive capabilityByteDance Seedream V4no sensitive capabilitybytedance_seedance_videono sensitive capabilitybytedance_seedream_imageno sensitive capabilityelevenlabs_ttsno sensitive capabilityelevenlabs_ttsfxno sensitive capabilityFlux Kontextno sensitive capabilityflux_kontext_imageno sensitive capabilityflux2_imageno sensitive capability
Show 43 more tools ↓
get_task_statusno sensitive capabilityGoogle Veo3no sensitive capabilitygpt_image_2_imageno sensitive capabilitygrok_imagineno sensitive capabilityHailuo 02no sensitive capabilityhailuo_videono sensitive capabilityIdeogram V3 Reframeno sensitive capabilityideogram_reframeno sensitive capabilityimageno sensitive capabilityImage Models Comparisonno sensitive capabilityinfinitalk_lip_syncno sensitive capabilityKling v2.1 Prono sensitive capabilityKling v2.5 Turbono sensitive capabilitykling_avatarno sensitive capabilitykling_videono sensitive capabilitylist_tasksno sensitive capabilityMidjourneyno sensitive capabilitymidjourney_generateno sensitive capabilitynano_banana_imageno sensitive capabilityOpenAI GPT Image 2no sensitive capabilityOpenAI GPT-4o Imageno sensitive capabilityopenai_4o_imageno sensitive capabilityQwen Imageno sensitive capabilityqwen_imageno sensitive capabilityRecraft Background Removalno sensitive capabilityrecraft_remove_backgroundno sensitive capabilityRunway Alephno sensitive capabilityrunway_aleph_videono sensitive capabilitySora 2 Prono sensitive capabilitySora 2 Standardno sensitive capabilitysora_videono sensitive capabilitysuno_generate_musicno sensitive capabilityTopaz Image Upscaleno sensitive capabilitytopaz_upscale_imageno sensitive capabilityUsage Statisticsno sensitive capabilityveo3_generate_videono sensitive capabilityveo3_get_1080p_videono sensitive capabilityvideono sensitive capabilityVideo Models Comparisonno sensitive capabilityWan Video 2.5no sensitive capabilitywan_animateno sensitive capabilitywan_videono sensitive capabilityz_imageno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (53 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 1
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 |
|---|---|---|---|---|
v3.2.0 latest |
A 99/100 | 0 | 1.13.0 | 2026-09-08 |
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 @contextarchitect/kie-ai-mcp-server --onlineOther implementations of Kie Ai 3
Independent packages implementing the same tool, scanned with the same engine. Compare all 4 side by side →
MCP server for Kie.ai APIs (Nano Banana image generation/editing and Veo3 video generation)
MCP server for Kie AI image generation and editing — supports all models (Nano Banana Pro, Seedream 4.5, Flux 2, Imagen 4, Ideogram V3, and more)
MCP server for Kie.ai APIs: image, video, music and speech generation across Nano Banana, Veo3, Suno, ElevenLabs, ByteDance, Qwen, Runway, Midjourney, Wan, Hailuo, Kling, GPT Image 2, Flux Kontext, Recraft, Ideogram, Topaz, HappyHorse and more.
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