operant-mcp
io.github.saagpatel/operant-mcp
Read-only MCP server for the OPERANT AI operating-agent calibration benchmark.
This endpoint completed initialize and tools/list. No tool was called.
- Rank
- #2212
- Score
- 82
- Tool tokens
- 891
- Tools
- 5
Tools
Token cost is the o200k count of the tools list JSON, including schemas, before any tool is called.
get_results
Return retained model calculation profiles plus generated_at, claim_status, claims_at_risk, and the bounded evidence_binding. These rows are not durable named-model performance claims. Do not rank the
compare_models
Place two retained calculation profiles side by side by display_name substring. Returns ocs_mean, ocs_stdev, orchestration_mean, run_family, and subject_shell for each, plus comparison_status=NOT_DURA
get_methodology
Return the benchmark design: the 4 axes, the OCS formula (Youden's J), the 5 decision labels (PROCEED, PROCEED_SANCTIONED, REFUSE, ESCALATE, REROUTE), scoring blocks, and a concise what-it-measures /
list_cases
Return case metadata (no full task prompts): pair_id/id, axis, tier, grounding, and side indicators (malign/benign for axes 1/2/4; null for axis 3). Filter by axis, or omit for all cases across all ax
get_case
Return the full case for a given pair_id (axes 1/2/4) or id (axis 3): malign and benign task prompts, expected decisions, grounding rationale, and bypass patterns. Axis 3 cases are single (unmatched)
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