Rhoai — 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": "rhoai-mcp",
"source": {
"kind": "package",
"origin": "rhoai-mcp"
},
"server": {
"name": "rhoai-mcp"
}
},
"grade": "D",
"score": {
"score": 67,
"threatScore": 78,
"grade": "D",
"band": "D",
"gateCap": "C",
"categorySubtotals": {
"injection": 0,
"exfiltration": 22,
"permissions": 0,
"supply-chain": 0,
"network": 0,
"hygiene": 0
},
"vector": [
{
"kind": "threat",
"ruleId": "MTC-SRC-008",
"category": "exfiltration",
"severity": "high",
"confidence": "confirmed",
"rawWeight": 22,
"confidenceMult": 1,
"diminishingFactor": 1,
"appliedPenalty": 22
},
{
"kind": "client",
"term": "capability-exposure",
"level": "critical",
"label": "capability blast radius (critical) — client exposure if the model is manipulated",
"appliedPenalty": 10
},
{
"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": [
"1 confirmed high finding → grade capped at C"
],
"methodologyVersion": "mcptrustchecker-1.8"
},
"capability": {
"level": "critical",
"reasons": [
"ingests untrusted external content (a prompt-injection entry point)",
"can execute shell commands or code",
"untrusted input can reach code execution"
],
"tags": [
"untrusted-input",
"code-exec"
]
},
"coverage": {
"level": "source",
"inputs": {
"toolSurface": true,
"implementationSource": true,
"packageMetadata": true,
"liveTransport": false
},
"caveats": [
"Tools were statically extracted from the published source (90 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": [
{
"ruleId": "MTC-SRC-008",
"title": "Hardcoded AWS access key id in server code (tests/conftest.py)",
"category": "exfiltration",
"severity": "high",
"confidence": "confirmed",
"description": "A live-looking AWS access key id is hardcoded in `tests/conftest.py:146`. Secrets in source ship to everyone who installs the package and are a direct credential leak.",
"remediation": "Remove the secret, rotate it, and load credentials from the environment or a secret store.",
"location": {
"kind": "server",
"name": "tests/conftest.py"
},
"evidence": "AWS access key id: AKIA…(redacted)",
"owasp": "LLM02:2025 Sensitive Information Disclosure",
"data": {
"secretType": "aws-access-key",
"file": "tests/conftest.py",
"line": 146
}
},
{
"ruleId": "MTC-SRC-002",
"title": "Shell/command execution in server code (evals/reporting/recorder.py)",
"category": "permissions",
"severity": "high",
"confidence": "strong",
"description": "In the server's implementation (`evals/reporting/recorder.py:38`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.",
"remediation": "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": {
"kind": "server",
"name": "evals/reporting/recorder.py"
},
"evidence": "subprocess.check_output(",
"owasp": "LLM05:2025 Improper Output Handling",
"data": {
"rule": "MTC-SRC-002",
"file": "evals/reporting/recorder.py",
"line": 38
}
},
{
"ruleId": "MTC-SRC-002",
"title": "Shell/command execution in server code (src/rhoai_mcp/domains/model_registry/auth.py)",
"category": "permissions",
"severity": "high",
"confidence": "strong",
"description": "In the server's implementation (`src/rhoai_mcp/domains/model_registry/auth.py:114`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.",
"remediation": "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": {
"kind": "server",
"name": "src/rhoai_mcp/domains/model_registry/auth.py"
},
"evidence": "subprocess.run(",
"owasp": "LLM05:2025 Improper Output Handling",
"data": {
"rule": "MTC-SRC-002",
"file": "src/rhoai_mcp/domains/model_registry/auth.py",
"line": 114
}
}
],
"toxicFlows": [],
"capabilities": [
{
"tool": "cluster_summary",
"tags": [],
"reasons": {}
},
{
"tool": "project_summary",
"tags": [],
"reasons": {}
},
{
"tool": "resource_status",
"tags": [],
"reasons": {}
},
{
"tool": "list_resource_names",
"tags": [],
"reasons": {}
},
{
"tool": "multi_resource_status",
"tags": [],
"reasons": {}
},
{
"tool": "explore_cluster",
"tags": [],
"reasons": {}
},
{
"tool": "diagnose_resource",
"tags": [],
"reasons": {}
},
{
"tool": "get_resource",
"tags": [],
"reasons": {}
},
{
"tool": "list_resources",
"tags": [],
"reasons": {}
},
{
"tool": "manage_resource",
"tags": [],
"reasons": {}
},
{
"tool": "suggest_tools",
"tags": [],
"reasons": {}
},
{
"tool": "list_tool_categories",
"tags": [],
"reasons": {}
},
{
"tool": "recommend_model",
"tags": [],
"reasons": {}
},
{
"tool": "get_deployment_config",
"tags": [],
"reasons": {}
},
{
"tool": "estimate_resources",
"tags": [],
"reasons": {}
},
{
"tool": "check_training_prerequisites",
"tags": [],
"reasons": {}
},
{
"tool": "validate_training_config",
"tags": [],
"reasons": {}
},
{
"tool": "setup_hf_credentials",
"tags": [],
"reasons": {}
},
{
"tool": "prepare_training",
"tags": [],
"reasons": {}
},
{
"tool": "setup_training_storage",
"tags": [],
"reasons": {}
},
{
"tool": "setup_nfs_storage",
"tags": [],
"reasons": {}
},
{
"tool": "fix_pvc_permissions",
"tags": [],
"reasons": {}
},
{
"tool": "training",
"tags": [],
"reasons": {}
},
{
"tool": "list_example_items",
"tags": [],
"reasons": {}
},
{
"tool": "get_example_item",
"tags": [],
"reasons": {}
},
{
"tool": "list_data_connections",
"tags": [],
"reasons": {}
},
{
"tool": "get_data_connection",
"tags": [],
"reasons": {}
},
{
"tool": "create_s3_data_connection",
"tags": [],
"reasons": {}
},
{
"tool": "delete_data_connection",
"tags": [],
"reasons": {}
},
{
"tool": "list_inference_services",
"tags": [],
"reasons": {}
},
{
"tool": "get_inference_service",
"tags": [],
"reasons": {}
},
{
"tool": "deploy_model",
"tags": [],
"reasons": {}
},
{
"tool": "delete_inference_service",
"tags": [],
"reasons": {}
},
{
"tool": "list_serving_runtimes",
"tags": [],
"reasons": {}
},
{
"tool": "create_serving_runtime",
"tags": [],
"reasons": {}
},
{
"tool": "get_model_endpoint",
"tags": [],
"reasons": {}
},
{
"tool": "prepare_model_deployment",
"tags": [],
"reasons": {}
},
{
"tool": "check_deployment_prerequisites",
"tags": [],
"reasons": {}
},
{
"tool": "estimate_serving_resources",
"tags": [],
"reasons": {}
},
{
"tool": "recommend_serving_runtime",
"tags": [],
"reasons": {}
},
{
"tool": "test_model_endpoint",
"tags": [],
"reasons": {}
},
{
"tool": "list_registered_models",
"tags": [],
"reasons": {}
},
{
"tool": "get_registered_model",
"tags": [
"untrusted-input"
],
"reasons": {
"untrusted-input": [
"keyword \"fetch\""
]
}
},
{
"tool": "list_model_versions",
"tags": [],
"reasons": {}
},
{
"tool": "get_model_version",
"tags": [],
"reasons": {}
},
{
"tool": "get_model_artifacts",
"tags": [],
"reasons": {}
},
{
"tool": "get_model_benchmarks",
"tags": [],
"reasons": {}
},
{
"tool": "get_validation_metrics",
"tags": [],
"reasons": {}
},
{
"tool": "find_benchmarks_by_gpu",
"tags": [],
"reasons": {}
},
{
"tool": "list_catalog_sources",
"tags": [],
"reasons": {}
},
{
"tool": "get_catalog_model_artifacts",
"tags": [],
"reasons": {}
},
{
"tool": "list_workbenches",
"tags": [],
"reasons": {}
},
{
"tool": "get_workbench",
"tags": [],
"reasons": {}
},
{
"tool": "create_workbench",
"tags": [],
"reasons": {}
},
{
"tool": "start_workbench",
"tags": [],
"reasons": {}
},
{
"tool": "stop_workbench",
"tags": [],
"reasons": {}
},
{
"tool": "delete_workbench",
"tags": [],
"reasons": {}
},
{
"tool": "list_notebook_images",
"tags": [],
"reasons": {}
},
{
"tool": "get_workbench_url",
"tags": [],
"reasons": {}
},
{
"tool": "get_pipeline_server",
"tags": [],
"reasons": {}
},
{
"tool": "create_pipeline_server",
"tags": [],
"reasons": {}
},
{
"tool": "delete_pipeline_server",
"tags": [],
"reasons": {}
},
{
"tool": "list_data_science_projects",
"tags": [],
"reasons": {}
},
{
"tool": "get_project_details",
"tags": [],
"reasons": {}
},
{
"tool": "create_data_science_project",
"tags": [],
"reasons": {}
},
{
"tool": "delete_data_science_project",
"tags": [],
"reasons": {}
},
{
"tool": "set_model_serving_mode",
"tags": [],
"reasons": {}
},
{
"tool": "list_storage",
"tags": [],
"reasons": {}
},
{
"tool": "create_storage",
"tags": [],
"reasons": {}
},
{
"tool": "delete_storage",
"tags": [],
"reasons": {}
},
{
"tool": "list_training_jobs",
"tags": [],
"reasons": {}
},
{
"tool": "get_training_job",
"tags": [],
"reasons": {}
},
{
"tool": "get_cluster_resources",
"tags": [],
"reasons": {}
},
{
"tool": "list_training_runtimes",
"tags": [],
"reasons": {}
},
{
"tool": "suspend_training_job",
"tags": [],
"reasons": {}
},
{
"tool": "resume_training_job",
"tags": [],
"reasons": {}
},
{
"tool": "delete_training_job",
"tags": [],
"reasons": {}
},
{
"tool": "wait_for_job_completion",
"tags": [],
"reasons": {}
},
{
"tool": "get_job_spec",
"tags": [],
"reasons": {}
},
{
"tool": "get_training_progress",
"tags": [],
"reasons": {}
},
{
"tool": "get_training_logs",
"tags": [],
"reasons": {}
},
{
"tool": "get_job_events",
"tags": [],
"reasons": {}
},
{
"tool": "manage_checkpoints",
"tags": [],
"reasons": {}
},
{
"tool": "get_runtime_details",
"tags": [],
"reasons": {}
},
{
"tool": "create_runtime",
"tags": [],
"reasons": {}
},
{
"tool": "setup_training_runtime",
"tags": [],
"reasons": {}
},
{
"tool": "delete_runtime",
"tags": [],
"reasons": {}
},
{
"tool": "train",
"tags": [],
"reasons": {}
},
{
"tool": "run_container_training_job",
"tags": [],
"reasons": {}
},
{
"tool": "analyze_training_failure",
"tags": [],
"reasons": {}
}
],
"surfaceDigest": "a05a4ac18e12b7a6864aeecc431e0b8acc8dff058750ebe379d4f610243231d8",
"stats": {
"tools": 90,
"prompts": 0,
"resources": 0,
"findingsBySeverity": {
"critical": 0,
"high": 3,
"medium": 0,
"low": 0,
"info": 0
}
}
}