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omardaaboul

US Federal Procurement MCP

by omardaaboul
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Python
Hybrid

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    TDQS

    B3.4/5.0

    Scored across 9 tools

    Disambiguation4/5

    Most tools have distinct purposes: search vs details vs analysis vs reference lookups are clearly separated. However, analyze_solicitation and solicitation_review overlap in solicitation-focused assessment, and market_snapshot_tool could be confused with search_opportunities by agents looking for an overview.

    Naming Consistency3/5

    Most tools use verb_noun patterns like search_opportunities, look_up_naics, analyze_solicitation, and federal_thresholds. This is inconsistent with market_snapshot_tool and opportunity_details, which use noun_phrase naming, and the mix of 'look_up' vs 'lookup' style is not fully predictable.

    Tool Count5/5

    Nine tools is a well-scoped size for a federal procurement domain, covering search, reference, and analysis workflows without bloat. Each tool serves a distinct functional area, and the count feels neither thin nor overwhelming.

    Completeness4/5

    The server covers core workflows: searching opportunities, viewing details, understanding codes/classifications, and analyzing solicitation fit. Minor gaps exist, such as no direct tool for listing agencies or saving/tracking opportunities, but the main user journey is supported end-to-end.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing

    Resources