Fuse — 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": "fuse-mcp",
"source": {
"kind": "package",
"origin": "fuse-mcp"
},
"server": {
"name": "fuse-mcp"
}
},
"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 (29 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": "fuse_get_content",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_insights",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_scripts",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_create_script",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_search_creators",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_creator",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_contact",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_channel_narrative",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_deep_insights",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_lookalikes",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_discover",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_list_experiments",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_design_experiment",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_start_experiment",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_report_results",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_playbook",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_notifications",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_format_inspiration",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_growth_hypotheses",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_video_ideas",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_metrics",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_topic_intelligence",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_category_performance",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_fit_score",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_shorts_analysis",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_subscriber_quality",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_report_card",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_audience",
"tags": [],
"reasons": {}
},
{
"tool": "fuse_get_transcript",
"tags": [],
"reasons": {}
}
],
"surfaceDigest": "cd20dcfe07824df367458155c90b08d6332d63322f46bfb9fc9d8494a5620c10",
"stats": {
"tools": 29,
"prompts": 0,
"resources": 0,
"findingsBySeverity": {
"critical": 0,
"high": 0,
"medium": 0,
"low": 0,
"info": 0
}
}
}