Pykingenie — the complete, unedited output of the deterministic mcptrustchecker engine v1.8.0, scanned . Every finding, capability tag and score component below is exactly what the engine produced — no AI, no post-processing.
{
"tool": {
"name": "mcptrustchecker",
"version": "1.8.0",
"methodologyVersion": "mcptrustchecker-1.8"
},
"target": {
"id": "mcp-pykingenie",
"source": {
"kind": "package",
"origin": "mcp-pykingenie"
},
"server": {
"name": "mcp-pykingenie"
}
},
"grade": "A",
"score": {
"score": 96,
"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": "moderate",
"label": "capability blast radius (moderate) — client exposure if the model is manipulated",
"appliedPenalty": 3
},
{
"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-1.8"
},
"capability": {
"level": "moderate",
"reasons": [
"reads sensitive or local data"
],
"tags": [
"sensitive-source"
]
},
"coverage": {
"level": "source",
"inputs": {
"toolSurface": true,
"implementationSource": true,
"packageMetadata": true,
"liveTransport": false
},
"caveats": [
"Tools were statically extracted from the published source (26 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": "print_data_dir",
"tags": [],
"reasons": {}
},
{
"tool": "list_files_in_folder",
"tags": [
"sensitive-source"
],
"reasons": {
"sensitive-source": [
"keyword \"list_files\""
]
}
},
{
"tool": "import_kingenie_surface_csv",
"tags": [],
"reasons": {}
},
{
"tool": "import_octet_experiment",
"tags": [],
"reasons": {}
},
{
"tool": "import_gator_experiment",
"tags": [],
"reasons": {}
},
{
"tool": "load_octet_example",
"tags": [],
"reasons": {}
},
{
"tool": "plot_sample_plate_info",
"tags": [],
"reasons": {}
},
{
"tool": "get_legends_table",
"tags": [],
"reasons": {}
},
{
"tool": "plot_traces_with_all_steps",
"tags": [],
"reasons": {}
},
{
"tool": "plot_steady_state",
"tags": [],
"reasons": {}
},
{
"tool": "list_experiment_names",
"tags": [],
"reasons": {}
},
{
"tool": "align_association",
"tags": [],
"reasons": {}
},
{
"tool": "subtract_reference",
"tags": [],
"reasons": {}
},
{
"tool": "subtract_experiment",
"tags": [],
"reasons": {}
},
{
"tool": "subtract_sensor_columns",
"tags": [],
"reasons": {}
},
{
"tool": "align_dissociation",
"tags": [],
"reasons": {}
},
{
"tool": "align_and_subtract",
"tags": [],
"reasons": {}
},
{
"tool": "obtain_sample_info_table",
"tags": [],
"reasons": {}
},
{
"tool": "initiate_fitting_datasets",
"tags": [],
"reasons": {}
},
{
"tool": "plot_kinetic_traces",
"tags": [],
"reasons": {}
},
{
"tool": "run_steady_state_fitting",
"tags": [],
"reasons": {}
},
{
"tool": "run_kinetics_fitting",
"tags": [],
"reasons": {}
},
{
"tool": "get_kinetics_fitting_results",
"tags": [],
"reasons": {}
},
{
"tool": "create_export_df",
"tags": [],
"reasons": {}
},
{
"tool": "list_experiment_properties",
"tags": [],
"reasons": {}
},
{
"tool": "list_experiment_attributes",
"tags": [],
"reasons": {}
}
],
"surfaceDigest": "354f5919bda8fbbbe7a102ae71effa7f98f4afc2430da0bbbc930890f40c7ce4",
"stats": {
"tools": 26,
"prompts": 0,
"resources": 0,
"findingsBySeverity": {
"critical": 0,
"high": 0,
"medium": 0,
"low": 0,
"info": 0
}
}
}