SystemIntelPilot

Enterprise AI operator evaluation MCP server. 27 tools (22 read + 5 write) for measuring, benchmarking, diagnosing, and interv ening on how human operators use AI tools across 5 canonical metrics.

ERP

该来源不提供完整文件导出（国内平台多为平台内托管），仅存元数据与原链

模型生成摘要（rules/v1 · 2026-09-27 16:14）：Enterprise AI operator evaluation MCP server
这是模型对公开材料的总结，不是官方声明，请以原链内容为准。

接入信息

传输形态: http
鉴权方式: 鉴权未知
端点: https://systemintelpilot--burnmydays.run.tools

鉴权方式未标注，请核对官方文档后再接入——不要直接使用以下片段

{
  "mcpServers": {
    "SystemIntelPilot": {
      "url": "https://systemintelpilot--burnmydays.run.tools"
    }
  }
}

能力清单

工具	说明
get_pilot_status	Get pilot status overview — cohort size, observation count, date range, data quality, active interventions. Computed from raw observations. Data is from a 50-operator synthetic pilot (labeled synthetic).
get_operator_profile	Get operator profile — operator details, measurements (5 canonical metrics computed from raw token observations with values, percentiles, status), and benchmark availability. Operator IDs are pseudonymous (e.g., op_001). Data is synthetic.
get_cohort_distribution	Get cohort metric distribution — min, p10, p25, median, p75, p90, max, mean, std, and outliers for a given metric across the 50-operator cohort. Computed from raw observations.
get_composite_score	Get developmental composite score (0-100) for an operator. Computed from raw metrics normalized via reference percentiles. Labeled DEVELOPMENTAL, not PERSONNEL. Weighted: leverage 30%, yield 30%, token_snr 20%, construction 20%. Data is synthetic.
get_composite_score_summary	Get cohort composite score summary — count, min, max, median, mean, Q1, Q3. Computed from per-operator scores. No individual rankings exposed. Label is DEVELOPMENTAL.
get_diagnostics	Get operator diagnostics — pattern detections and diagnoses computed from divergence analysis. All diagnoses are HYPOTHESIS, never fact.
get_data_quality	Get data quality summary — completeness, coverage, validity across the cohort. Computed from raw observations.
find_usage_operation_divergence	Find operators with usage-operation divergence. Computes usage percentile from raw token totals and compares to yield percentile. Returns all 50 operators with divergence class (LOW_USAGE_HIGH_OPERATION, HIGH_USAGE_LOW_OPERATION, etc.).
get_workflow_fit	Get workflow fit analysis — operator/workflow fit scores across workflow stages.
get_intervention_status	Get all interventions — 12 active interventions with operator IDs, catalog IDs, reason patterns, target metrics, start dates, followup periods, and synthetic outcomes.
list_pilot_options	List available pilot options — 5 canonical metrics, 15 eval families, 13 benchmark classes, 5 intervention types.
validate_pilot_configuration	Validate a pilot configuration before deployment. Returns valid status with warnings and errors.
compare_operator_to_reference	Compare an operator to a reference population. Returns benchmark selection, comparison group, and metric comparison. Computed from raw metrics and reference field.
get_executive_dashboard	Get executive dashboard info — the dashboard is a self-contained HTML file generated by the CLI (enterprise export dashboard --output file.html).
verify_change	Verify a measured change after intervention — pre/post comparison. Results are ASSOCIATION, never CAUSATION.
create_pilot_configuration	Generate a pilot configuration from parameters.
assign_intervention	Assign a targeted intervention to an operator. REQUIRES AUTHORIZATION. Contact pilots@mos2es.org for pilot access.
close_intervention	Close an intervention with outcome notes. REQUIRES AUTHORIZATION.
create_experiment	Create an experiment configuration. REQUIRES AUTHORIZATION.
record_workflow_observation	Record a workflow fit observation. REQUIRES AUTHORIZATION.
attach_outcome_dataset	Attach external outcome dataset for join analysis. Outcome joins are ASSOCIATION, never CAUSATION. REQUIRES AUTHORIZATION.
get_operator_system_decomposition	Two-way ANOVA-style decomposition partitioning metric variance into operator effect, system effect, and operator×system interaction. Computed from raw observations grouped by platform. Shows whether operator capability or system choice drives performance.
get_lineage_chain	Get the full lineage chain for an operator: STATE_A → BI_ACTION → AAI_TRANSFORMATION → BI_REDIRECTION → AAI_EXTENSION → COMMITTED_STATE → OUTCOME. Built from raw lineage and outcome data.
get_lineage_summary	Get lineage summary across the cohort — total lineages, workflow breakdown, average micro-eval metrics, outcomes linked. Computed from raw lineage data.
get_outcome_correlation	Correlate micro-eval metrics with outcome quality scores and cycle times through lineage. Computed via Pearson r from raw lineage + outcome data. Results labeled ASSOCIATION with evidence grade OBSERVATIONAL, never CAUSATION.
get_org_topology	Organization-level AI topology map — team-level metric distributions, median canonical metrics per team, capability concentration (Gini coefficient), platform adoption, single-point-of-failure detection, cross-team complementarity. Computed from raw measurements.
get_operator_similarity	Nearest-neighbor operator search using percentile-rank normalization and Euclidean distance across 5 canonical metrics. Computed from raw measurements. Returns comparable operators/cohorts, NOT personality matching.

SystemIntelPilot

接入信息

能力清单

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