model_safety_certification_checker
ActiveTool of gapup-mcp
declared in 0.2.0
Verifies AI model safety certifications against MLCommons and IEEE 7000 standards. Designed for risk management personas to assess model compliance with established safety benchmarks. Accepts model identifiers or certification IDs and returns structured verification results with source references.
Parameters schema
{
"type": "object",
"required": [
"model_id"
],
"properties": {
"async": {
"type": "boolean",
"description": "If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts."
},
"model_id": {
"type": "string",
"description": "Unique identifier for the AI model"
},
"standard": {
"enum": [
"MLCommons",
"IEEE_7000"
],
"type": "string",
"description": "Safety standard to check against"
},
"certification_id": {
"type": "string",
"description": "Specific certification ID to verify"
}
}
}No endpoints wrapped at confidence ≥ 0.50.
Parent server
gapup-mcp
https://github.com/getgapup/gapup-mcp-public
2/7 registries