Critical Path Partners

Connect Remote server

claude mcp add --transport http primavera-p6-forensic-scheduling https://mcp.criticalpathpartners.ca/mcp

{
  "mcpServers": {
    "primavera-p6-forensic-scheduling": {
      "url": "https://mcp.criticalpathpartners.ca/mcp"
    }
  }
}

{
  "servers": {
    "primavera-p6-forensic-scheduling": {
      "type": "http",
      "url": "https://mcp.criticalpathpartners.ca/mcp"
    }
  }
}

Settings > Connectors > Add custom connector
URL: https://mcp.criticalpathpartners.ca/mcp

Tools 14 found in our last check

• forensic_windows_analysis

  Run forensic windows analysis (AACE RP 29R-03 §3.3, MIP 3.3 Observational / Dynamic / Contemporaneous As-Is) across multiple Primavera P6 XER snapshots and return the full analysis dict. This is the headline forensic tool — it computes per-window completion shifts, per-window sl…

• concurrent_delay_matrix

  Build the per-window x per-party concurrent-delay attribution matrix from a chronological list of XER snapshots. Implements the per-window concurrency view per AACE RP 29R-03 §3.3.I (apportionment) and §4.2 (concurrency). Where ``forensic_windows_analysis`` answers "how many day…

• woet_classifier

  Worked-vs-On-time Execution Timeline (WOET) per-activity day-by-day classification of as-built execution against baseline. For each pairable activity (matched by ``task_code``), classifies execution into 4 day-states: - PROGRESS: work performed during the baseline-planned window…

• slip_velocity

  Per-window slip velocity & acceleration trend across XER snapshots. Computes three signed metrics per window from the underlying forensic windows analysis: - slip_velocity_days_per_day: completion shift / window duration (positive = slipping, negative = recovering). Numerator is…

• collapsed_as_built

  Collapsed As-Built / But-For analysis on a post-impact XER. Implements AACE RP 29R-03 §3.8 Modeled / Subtractive / Single Simulation method (paired with MIP 3.3 Windows for the dual-method gap report per SCL §11.5). Validates a forensic windows analysis (MIP 3.3) by independentl…

• time_impact_analysis_fragnet

  Time Impact Analysis (TIA) — prospective fragnet insertion into a pre-impact baseline schedule. Supports two modes. **Single-base mode** (legacy): supply ``baseline_xer_path`` or ``baseline_xer_content``. All fragnets are inserted into the same shared baseline XER and impact is…

• impacted_as_planned

  Impacted As-Planned (IAP) on an unprogressed as-planned baseline. Implements AACE RP 29R-03 MIP 3.6 (Modeled / Additive / Single Base) and SCL Protocol 2nd ed. §11.6(a). Two modes. **screen** (default): inserts each delay fragnet into the as-planned baseline, first one at a time…

• critical_path_validator

  Critical-path validation, logic health, and DCMA-14 assessment of a Primavera P6 schedule. Runs the CPP critical-path validator: checks for false criticality, constraint-driven CP segments, open ends, broken logic, and surfaces a DCMA-14 block with the 14 metrics (logic, leads,…

• dcma14_health_check

  Full Schedule Health Dashboard HTML report — DCMA-14 + CPLI + BEI + variance/slip register against the baseline. Wraps the CPP Schedule Health Review skill, which produces a self-contained ~1.3 MB HTML dashboard. The dashboard renders DCMA metrics, charts, baseline-vs-current va…

• path_explorer

  Logic-trace driver-chain explorer — answers "WHY is this activity critical?" and "WHAT does it drive?". Traces driving predecessors backward from a target activity to project start (the "why critical" chain) and/or driving successors forward to project finish (the "what it drive…

• monte_carlo_p50_p80

  Monte Carlo Schedule Risk Analysis — P10/P50/P80/P90 completion-date forecast for a Primavera P6 schedule. Implements an AACE-style quantitative SRA (the same math as CPP's browser Tool_11 Portfolio Risk Engine, scripted Python counterpart). For each iteration, every activity du…

• qramm_maturity

  QRAMM-aligned maturity reading for an SRA result. Places a Schedule Risk Analysis run (from ``monte_carlo_p50_p80`` or any equivalent dict) on the five named maturity levels of AACE RP 122R-22 (Quantitative Risk Analysis Maturity Model), section 3: level 1 Reactive, level 2 Ad-h…

• claim_workbench_evidence_ledger

  Forensic claim workbench — analyzes a folder of mixed evidence (XER chain + MSG/PDF/DOCX/XLSX correspondence) and produces a unified workbench dashboard. Built from the real-world workflow where forensic delay analysis starts from a folder containing schedule updates, owner corr…

• xer_parser

  Parse a Primavera P6 XER file and return a TABLE SUMMARY (not the full row-level data — XER row dumps explode the MCP context window). For each table in the XER, returns the table name, field list, and record count. Per-row data is intentionally omitted — for forensic / DCMA / w…

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