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Alternatives to P6 MCP

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    Related Servers

    • A
      license
      A
      quality
      D
      maintenance
      Enables AI assistants to analyze Primavera P6 XER files for insights into critical paths, schedule health, and project performance. It provides 23 specialized tools for managing schedule data, resources, and earned value through local or remote interfaces.
      29
      27 PyPI
      16
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP-compatible AI clients to query, analyze, and mutate Oracle Primavera P6 schedules from XER files or live P6 EPPM, with tools for critical path, DCMA compliance, earned value, resources, baselines, and exports.
      35 PyPI
      2
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables assistants to read and analyze construction schedules like a scheduler: CPM, float, critical paths, DCMA 14-point, logic checks, update-to-update comparison, baseline variance, and S-curves from P6 XER and MS Project files.
      17
      13 PyPI
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables Claude and other AI agents to build, edit, and analyze Microsoft Project desktop schedules on Windows through natural language, covering tasks, WBS, dependencies, resources, calendars, baselines, critical path, resource leveling, and earned value, with live changes in Project and single-step undo. It also exports results to PDF or CSV and reads project health and time-phased data for S-curves and histograms.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to control, automate, and query desktop project-management schedules in real time via native Windows COM, including task/WBS management, resource and cost assignment, baselines, critical path, status reporting, and PDF export.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI clients to build and calculate critical-path project plans through tools, including resource leveling, vacation and holiday calendars, what-if scenario comparison and Monte Carlo schedule risk simulation. Projects are read from and written as plain JSON files.
      MIT

    TDQS

    A3.9/5.0

    Scored across 11 tools

    Disambiguation5/5

    Each tool has a clearly distinct role: project/WBS listing, activity search/detail, relationship drilldown, critical path listing, float distribution, lookahead, project summary, DCMA health check, and diagnosis. Although several tools deal with schedules and float, their boundaries are explicit and unlikely to cause misselection.

    Naming Consistency4/5

    All tools use the p6_ prefix and snake_case, making them predictable and readable. Most are verb_noun or resource_action style, while a few analytic/report tools are noun phrases such as p6_critical_path and p6_float_analysis, which is a minor deviation from a strict verb_noun pattern.

    Tool Count5/5

    Eleven tools is well-scoped for a P6 scheduling analytics server. Each tool covers a meaningful slice of the domain without obvious filler or excessive breadth.

    Completeness3/5

    Core scheduling analysis is well covered, but the surface has notable gaps and dead references: p6_query_activities mentions p6_list_udfs, p6_health_check references p6_health_check_compare and p6_cpm_validate, and p6_list_projects mentions p6_list_eps, none of which are exposed. Resource, calendar, and baseline-focused listing tools are also absent.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues