Numpy — the complete, unedited output of the deterministic mcptrustchecker engine v1.12.1, scanned . Every finding, capability tag and score component below is exactly what the engine produced — no AI, no post-processing.
{
"tool": {
"name": "mcptrustchecker",
"version": "1.12.1",
"methodologyVersion": "mcptrustchecker-1.12"
},
"target": {
"id": "mcp-numpy",
"source": {
"kind": "package",
"origin": "mcp-numpy"
},
"server": {
"name": "mcp-numpy"
}
},
"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-1.12"
},
"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 (72 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": "np_array",
"tags": [],
"reasons": {}
},
{
"tool": "np_zeros",
"tags": [],
"reasons": {}
},
{
"tool": "np_ones",
"tags": [],
"reasons": {}
},
{
"tool": "np_full",
"tags": [],
"reasons": {}
},
{
"tool": "np_arange",
"tags": [],
"reasons": {}
},
{
"tool": "np_linspace",
"tags": [],
"reasons": {}
},
{
"tool": "np_eye",
"tags": [],
"reasons": {}
},
{
"tool": "np_diag",
"tags": [],
"reasons": {}
},
{
"tool": "np_reshape",
"tags": [],
"reasons": {}
},
{
"tool": "np_transpose",
"tags": [],
"reasons": {}
},
{
"tool": "np_concatenate",
"tags": [],
"reasons": {}
},
{
"tool": "np_split",
"tags": [],
"reasons": {}
},
{
"tool": "np_tile",
"tags": [],
"reasons": {}
},
{
"tool": "np_repeat",
"tags": [],
"reasons": {}
},
{
"tool": "np_squeeze",
"tags": [],
"reasons": {}
},
{
"tool": "np_flatten",
"tags": [],
"reasons": {}
},
{
"tool": "np_sum",
"tags": [],
"reasons": {}
},
{
"tool": "np_mean",
"tags": [],
"reasons": {}
},
{
"tool": "np_std",
"tags": [],
"reasons": {}
},
{
"tool": "np_var",
"tags": [],
"reasons": {}
},
{
"tool": "np_min",
"tags": [],
"reasons": {}
},
{
"tool": "np_max",
"tags": [],
"reasons": {}
},
{
"tool": "np_argmin",
"tags": [],
"reasons": {}
},
{
"tool": "np_argmax",
"tags": [],
"reasons": {}
},
{
"tool": "np_dot",
"tags": [],
"reasons": {}
},
{
"tool": "np_matmul",
"tags": [],
"reasons": {}
},
{
"tool": "np_cross",
"tags": [],
"reasons": {}
},
{
"tool": "np_trace",
"tags": [],
"reasons": {}
},
{
"tool": "np_cumsum",
"tags": [],
"reasons": {}
},
{
"tool": "np_cumprod",
"tags": [],
"reasons": {}
},
{
"tool": "np_diff",
"tags": [],
"reasons": {}
},
{
"tool": "np_inv",
"tags": [],
"reasons": {}
},
{
"tool": "np_det",
"tags": [],
"reasons": {}
},
{
"tool": "np_eig",
"tags": [],
"reasons": {}
},
{
"tool": "np_svd",
"tags": [],
"reasons": {}
},
{
"tool": "np_solve",
"tags": [],
"reasons": {}
},
{
"tool": "np_linalg_norm",
"tags": [],
"reasons": {}
},
{
"tool": "np_rand",
"tags": [],
"reasons": {}
},
{
"tool": "np_randn",
"tags": [],
"reasons": {}
},
{
"tool": "np_randint",
"tags": [],
"reasons": {}
},
{
"tool": "np_random_choice",
"tags": [],
"reasons": {}
},
{
"tool": "np_shuffle",
"tags": [],
"reasons": {}
},
{
"tool": "np_percentile",
"tags": [],
"reasons": {}
},
{
"tool": "np_quantile",
"tags": [],
"reasons": {}
},
{
"tool": "np_histogram",
"tags": [],
"reasons": {}
},
{
"tool": "np_correlate",
"tags": [],
"reasons": {}
},
{
"tool": "np_corrcoef",
"tags": [],
"reasons": {}
},
{
"tool": "np_add",
"tags": [],
"reasons": {}
},
{
"tool": "np_subtract",
"tags": [],
"reasons": {}
},
{
"tool": "np_multiply",
"tags": [],
"reasons": {}
},
{
"tool": "np_divide",
"tags": [],
"reasons": {}
},
{
"tool": "np_power",
"tags": [],
"reasons": {}
},
{
"tool": "np_mod",
"tags": [],
"reasons": {}
},
{
"tool": "np_sqrt",
"tags": [],
"reasons": {}
},
{
"tool": "np_abs",
"tags": [],
"reasons": {}
},
{
"tool": "np_exp",
"tags": [],
"reasons": {}
},
{
"tool": "np_log",
"tags": [],
"reasons": {}
},
{
"tool": "np_log10",
"tags": [],
"reasons": {}
},
{
"tool": "np_sin",
"tags": [],
"reasons": {}
},
{
"tool": "np_cos",
"tags": [],
"reasons": {}
},
{
"tool": "np_tan",
"tags": [],
"reasons": {}
},
{
"tool": "np_arcsin",
"tags": [],
"reasons": {}
},
{
"tool": "np_arccos",
"tags": [],
"reasons": {}
},
{
"tool": "np_arctan",
"tags": [],
"reasons": {}
},
{
"tool": "np_sinh",
"tags": [],
"reasons": {}
},
{
"tool": "np_cosh",
"tags": [],
"reasons": {}
},
{
"tool": "np_tanh",
"tags": [],
"reasons": {}
},
{
"tool": "np_shape",
"tags": [],
"reasons": {}
},
{
"tool": "np_ndim",
"tags": [],
"reasons": {}
},
{
"tool": "np_size",
"tags": [],
"reasons": {}
},
{
"tool": "np_dtype",
"tags": [],
"reasons": {}
},
{
"tool": "npastype",
"tags": [],
"reasons": {}
}
],
"surfaceDigest": "75640dbff521e756b1ed4a22849411bc23a08a9614c48f319a8fe19f25d49c88",
"stats": {
"tools": 72,
"prompts": 0,
"resources": 0,
"findingsBySeverity": {
"critical": 0,
"high": 0,
"medium": 0,
"low": 0,
"info": 0
}
}
}