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freshcontext-mcp

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    TDQS

    B3.4/5.0

    Scored across 22 tools

    Disambiguation3/5

    Many tools target distinct sources, but the composite tools (extract_landscape, extract_idea_landscape, extract_company_landscape, etc.) overlap with individual source tools and with each other, creating potential confusion about which tool to use for a given query. Some similar-sounding tools like extract_govcontracts and extract_gov_landscape also add ambiguity.

    Naming Consistency2/5

    The naming pattern is inconsistent. Most tools start with 'extract_' but a few use different verbs ('search_repos', 'search_jobs', 'package_trends', 'evaluate_context'). Suffixes vary widely (e.g., 'extract_govcontracts' vs 'extract_gov_landscape'), and the composite tools use non-uniform names like 'extract_landscape' and 'extract_idea_landscape'.

    Tool Count2/5

    With 22 tools, the server exceeds the typical well-scoped range of 3-15. While the breadth reflects many data sources, the high count and substantial redundancy (several composite tools cover overlapping information) make the set feel bloated rather than focused.

    Completeness3/5

    The tool set covers a wide array of sources (academic, financial, government, community, product) and even provides composite reports, which addresses many research needs. However, the lack of a unified search or filtering tool and some redundant composites leave notable gaps in workflow efficiency, and the purpose of 'evaluate_context' is unclear.

    Maintenance

    ActivityActive
    ResponsivenessSlow