Kie Ai — the complete, unedited output of the deterministic mcptrustchecker engine v1.13.0, scanned . Every finding, capability tag and score component below is exactly what the engine produced — no AI, no post-processing.
{
"tool": {
"name": "mcptrustchecker",
"version": "1.13.0",
"methodologyVersion": "mcptrustchecker-1.13"
},
"target": {
"id": "@contextarchitect/kie-ai-mcp-server",
"source": {
"kind": "package",
"origin": "@contextarchitect/kie-ai-mcp-server"
},
"server": {
"name": "@contextarchitect/kie-ai-mcp-server"
}
},
"grade": "A",
"score": {
"score": 99,
"threatScore": 100,
"grade": "A",
"band": "A",
"categorySubtotals": {
"injection": 0,
"exfiltration": 0,
"permissions": 0,
"supply-chain": 0,
"network": 0,
"hygiene": 0
},
"vector": [
{
"kind": "client",
"term": "capability-exposure",
"level": "minimal",
"label": "capability blast radius (minimal) — client exposure if the model is manipulated",
"appliedPenalty": 0
},
{
"kind": "client",
"term": "verification-discount",
"level": "repo",
"label": "publisher verification (public source) — no provenance, but the source is public and inspectable",
"appliedPenalty": 1
},
{
"kind": "client",
"term": "coverage-honesty",
"level": "source",
"label": "inspection depth (source) — how much of the target the scan could see",
"appliedPenalty": 0
}
],
"gatesFired": [],
"methodologyVersion": "mcptrustchecker-1.13"
},
"capability": {
"level": "minimal",
"reasons": [],
"tags": []
},
"coverage": {
"level": "source",
"inputs": {
"toolSurface": true,
"implementationSource": true,
"packageMetadata": true,
"liveTransport": false
},
"caveats": [
"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>\"."
]
},
"findings": [],
"toxicFlows": [],
"capabilities": [
{
"tool": "nano_banana_image",
"tags": [],
"reasons": {}
},
{
"tool": "veo3_generate_video",
"tags": [],
"reasons": {}
},
{
"tool": "get_task_status",
"tags": [],
"reasons": {}
},
{
"tool": "list_tasks",
"tags": [],
"reasons": {}
},
{
"tool": "veo3_get_1080p_video",
"tags": [],
"reasons": {}
},
{
"tool": "suno_generate_music",
"tags": [],
"reasons": {}
},
{
"tool": "elevenlabs_tts",
"tags": [],
"reasons": {}
},
{
"tool": "elevenlabs_ttsfx",
"tags": [],
"reasons": {}
},
{
"tool": "bytedance_seedance_video",
"tags": [],
"reasons": {}
},
{
"tool": "bytedance_seedream_image",
"tags": [],
"reasons": {}
},
{
"tool": "qwen_image",
"tags": [],
"reasons": {}
},
{
"tool": "z_image",
"tags": [],
"reasons": {}
},
{
"tool": "grok_imagine",
"tags": [],
"reasons": {}
},
{
"tool": "infinitalk_lip_sync",
"tags": [],
"reasons": {}
},
{
"tool": "kling_avatar",
"tags": [],
"reasons": {}
},
{
"tool": "midjourney_generate",
"tags": [],
"reasons": {}
},
{
"tool": "runway_aleph_video",
"tags": [],
"reasons": {}
},
{
"tool": "openai_4o_image",
"tags": [],
"reasons": {}
},
{
"tool": "flux_kontext_image",
"tags": [],
"reasons": {}
},
{
"tool": "wan_video",
"tags": [],
"reasons": {}
},
{
"tool": "topaz_upscale_image",
"tags": [],
"reasons": {}
},
{
"tool": "recraft_remove_background",
"tags": [],
"reasons": {}
},
{
"tool": "ideogram_reframe",
"tags": [],
"reasons": {}
},
{
"tool": "kling_video",
"tags": [],
"reasons": {}
},
{
"tool": "hailuo_video",
"tags": [],
"reasons": {}
},
{
"tool": "flux2_image",
"tags": [],
"reasons": {}
},
{
"tool": "gpt_image_2_image",
"tags": [],
"reasons": {}
},
{
"tool": "wan_animate",
"tags": [],
"reasons": {}
},
{
"tool": "sora_video",
"tags": [],
"reasons": {}
},
{
"tool": "ByteDance Seedream V4",
"tags": [],
"reasons": {}
},
{
"tool": "Qwen Image",
"tags": [],
"reasons": {}
},
{
"tool": "Flux Kontext",
"tags": [],
"reasons": {}
},
{
"tool": "OpenAI GPT-4o Image",
"tags": [],
"reasons": {}
},
{
"tool": "OpenAI GPT Image 2",
"tags": [],
"reasons": {}
},
{
"tool": "Google Veo3",
"tags": [],
"reasons": {}
},
{
"tool": "ByteDance Seedance 2.0",
"tags": [],
"reasons": {}
},
{
"tool": "Wan Video 2.5",
"tags": [],
"reasons": {}
},
{
"tool": "Runway Aleph",
"tags": [],
"reasons": {}
},
{
"tool": "Kling v2.1 Pro",
"tags": [],
"reasons": {}
},
{
"tool": "Kling v2.5 Turbo",
"tags": [],
"reasons": {}
},
{
"tool": "Hailuo 02",
"tags": [],
"reasons": {}
},
{
"tool": "Sora 2 Standard",
"tags": [],
"reasons": {}
},
{
"tool": "Sora 2 Pro",
"tags": [],
"reasons": {}
},
{
"tool": "Midjourney",
"tags": [],
"reasons": {}
},
{
"tool": "Topaz Image Upscale",
"tags": [],
"reasons": {}
},
{
"tool": "Recraft Background Removal",
"tags": [],
"reasons": {}
},
{
"tool": "Ideogram V3 Reframe",
"tags": [],
"reasons": {}
},
{
"tool": "Image Models Comparison",
"tags": [],
"reasons": {}
},
{
"tool": "Video Models Comparison",
"tags": [],
"reasons": {}
},
{
"tool": "Active Generation Tasks",
"tags": [],
"reasons": {}
},
{
"tool": "Usage Statistics",
"tags": [],
"reasons": {}
},
{
"tool": "image",
"tags": [],
"reasons": {}
},
{
"tool": "video",
"tags": [],
"reasons": {}
}
],
"surfaceDigest": "39731182eaf33546808fc8e73e55780da705a2417ef9ef7980c7a1f02b3deb56",
"stats": {
"tools": 53,
"prompts": 0,
"resources": 0,
"findingsBySeverity": {
"critical": 0,
"high": 0,
"medium": 0,
"low": 0,
"info": 0
}
}
}