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Software Estimation MCP

Software Estimation MCP

by SantosRojas
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Python
Hybrid

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    • MCP-Estimator

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      Enables estimation of video surveillance, structured cabling, and low-current systems projects, providing tools for cost estimation, bill of materials, commercial proposals, and camera placement recommendations.
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    TDQS

    B3.2/5.0

    Scored across 14 tools

    Disambiguation4/5

    Most tools target distinct steps in the estimation workflow, but the markdown/PDF format pairs for proposals and action plans, plus the quote vs proposal PDF overlap, create some selection ambiguity when format is unspecified.

    Naming Consistency4/5

    Consistent snake_case with a verb_noun pattern for nearly all tools; wbs_breakdown uses noun_noun, a minor deviation. Overall predictable and readable.

    Tool Count5/5

    14 tools appropriately cover the estimation-to-proposal lifecycle without redundancy; each tool maps to a clear stage.

    Completeness4/5

    Surface covers WBS, PERT, buffers, quotation, roadmap, scope gaps, risks, scenarios, and multiple document outputs. Minor gaps include no holiday-aware scheduling (noted in roadmap) and no update/revise operations for generated artifacts.

    Maintenance

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