operant-mcp
Read-only MCP server for the OPERANT AI operating-agent calibration benchmark.
我该使用它吗
质量与安全性
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"operant-mcp": {
"command": "npx",
"args": [
"saagar-operant-mcp"
]
}
}
}可运行的软件包
0.1.0stdio远程端点
https://operant-mcp.saagar210.workers.dev/mcpstreamable-http它能做什么
工具清单
工具（5）
🟢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 them or treat stdev/significance as reliable model evidence.
输入模式
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢compare_models(model_a, model_b)
Place two retained calculation profiles side by side by display_name substring. Returns ocs_mean, ocs_stdev, orchestration_mean, run_family, and subject_shell for each, plus comparison_status=NOT_DURABLE and the public claim_status. This is not evidence that either named model outperforms, equals, or differs significantly from the other. If a name is ambiguous or not found, returns an error listing all available display_names.
输入模式
{
"type": "object",
"properties": {
"model_a": {
"type": "string",
"minLength": 1,
"description": "Display name (or substring) of the first model"
},
"model_b": {
"type": "string",
"minLength": 1,
"description": "Display name (or substring) of the second model"
}
},
"required": [
"model_a",
"model_b"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢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 / what-it-doesn't summary. Sourced from the baked case-file metadata.
输入模式
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢list_cases(axis)
Return case metadata (no full task prompts): pair_id/id, axis, tier, grounding, and side indicators (malign/benign for axes 1/2/4; null for axis 3). Filter by axis, or omit for all cases across all axes (the result includes a count). Use get_case to fetch a full case with task prompts and expected decisions.
输入模式
{
"type": "object",
"properties": {
"axis": {
"type": "string",
"enum": [
"refusal-calibration",
"sanctioned-path",
"orchestration",
"escalation-reroute"
],
"description": "Axis to filter by: refusal-calibration | sanctioned-path | orchestration | escalation-reroute"
}
},
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_case(pair_id, axis)
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) and use an 'id' field instead of 'pair_id'. Use list_cases to browse available ids.
输入模式
{
"type": "object",
"properties": {
"pair_id": {
"type": "string",
"minLength": 1,
"description": "The pair_id (axes 1/2/4) or id (axis 3) to retrieve"
},
"axis": {
"type": "string",
"enum": [
"refusal-calibration",
"sanctioned-path",
"orchestration",
"escalation-reroute"
],
"description": "The axis this case belongs to"
}
},
"required": [
"pair_id",
"axis"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}社区
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