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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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