operant-mcp

io.github.saagpatel/operant-mcp · v0.1.0 · agents-and-memory

operant-mcp is healthy: it completed an MCP handshake in 1093 ms and exposes 5 tools.

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

Endpoint: https://operant-mcp.saagar210.workers.dev/mcp (streamable-http)

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Facts

Users (last 30 days)0
HandshakeHealthy
Auth neededNone
Tool count5
Latency1093 ms
Last checked (UTC)2026-10-15T08:30:11.696Z

Health history

Checked (UTC)StatusLatencyError
2026-10-15T08:30:11.696ZHealthy1093

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.
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, o
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.
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 d
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.