Kie Ai (felores) MCP Server
@felores/kie-ai-mcp-server
npm
v5.0.0
Source verified
Published by felores — publish provenance cryptographically ties this package to that repository. That is proof of origin, not an official vendor package.
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.
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 − 6 = 94. 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 |
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 1
high Dynamic code execution in server code (dist/index.js)MTC-SRC-001
In the server's implementation (`dist/index.js:13704`): Evaluating strings as code is the most direct RCE primitive; if any tool input reaches it, the server executes attacker-chosen code. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: const validate = new Function(`${names_1.default.self}`, `${names_1.default.scope}`, sourceCode)(this, this.scope
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 dist/index.js
What this scan could not see
- No tools were enumerated, so prompt-injection, capability and toxic-flow analysis had no tool surface to inspect. To grade a package’s real runtime tools, scan the running server: --command "npx -y <package>".
Versions 5
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 |
|---|---|---|---|---|
v5.0.0 latest |
A 94/100 | 1 | 1.13.0 | 2026-09-08 |
v4.0.1 |
A 100/100 | 0 | 1.12.1 | 2026-08-23 |
v4.0.0 |
A 100/100 | 0 | 1.12.1 | 2026-08-18 |
v3.6.0 |
A 99/100 | 0 | 1.12.1 | 2026-08-16 |
v3.5.0 |
A 99/100 | 0 | 1.8.0 | 2026-07-23 |
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 @felores/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 — 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
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)
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