io.github.saagpatel/operant-mcp

operant-mcp

Read-only MCP server for the OPERANT AI operating-agent calibration benchmark.

Endpointhttps://operant-mcp.saagar210.workers.dev/mcp (streamable-http)
Registry version0.1.0
Now5 tools · grade A (96) · pin ts_8e8f670df81aad1f7b2d72ddebb5f4d4 · protocol 2025-06-18
First / last listed2026-11-14 00:26 UTC / 2026-11-14 00:26 UTC
Grade over time2026-11-14: A (96), 5 tools

Is this your server? Own a server? ToolFit hosted watch re-checks it every 24 h ($0.25 per 30 days) or 6 h ($0.60) and sends you an HMAC-signed webhook when its tools or grade change: POST https://api.youraitools.co/toolfit/v1/watch. To opt out, see About & opt-out.

Timeline

First listing · 2026-11-14 00:26 UTC
5 tools, grade A (96)

Tools: get_results compare_models get_methodology list_cases get_case

Current tools (5)

get_resultsReturn 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 them or treat stdev/significance as reliable model evidence.
params: none
compare_modelsPlace 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_DURABLE and the public claim_status. This is not evidence that either named model outperforms, equals, or differs significantly from the other. If a name is ambiguous or not found, returns an error listin
params: model_a*, model_b*
get_methodologyReturn 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 / what-it-doesn't summary. Sourced from the baked case-file metadata.
params: none
list_casesReturn 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 axes (the result includes a count). Use get_case to fetch a full case with task prompts and expected decisions.
params: axis
get_caseReturn 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) and use an 'id' field instead of 'pair_id'. Use list_cases to browse available ids.
params: pair_id*, axis*

Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.