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freshcontext-mcp

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    TDQS

    A3.6/5.0

    Scored across 22 tools

    Disambiguation2/5

    The single-source extract_* tools are reasonably distinct, but the five composite 'landscape' tools overlap heavily. extract_landscape and extract_idea_landscape are near-duplicates (both take a project idea and query YC, GitHub, HN, Reddit, Product Hunt, and packages), and greed_landscape/gov_landscape/company_landscape share USASpending/changelog/GDELT sources, making selection ambiguous.

    Naming Consistency4/5

    Almost everything follows snake_case verb_noun (extract_x, search_x, package_trends, evaluate_context), with a systematic extract_ prefix for data tools and a _landscape suffix for composites. Minor deviation in that the composite naming isn't applied uniformly, but overall the pattern is predictable.

    Tool Count3/5

    22 tools is on the heavy end and the redundancy among composites inflates the count beyond the useful surface. extract_yc is a dead tool that only returns an error, which is a wasted slot for clients.

    Completeness4/5

    The surface covers a wide range of data sources (code, research, finance, jobs, gov contracts, news) plus a dedicated evaluation path, so most intelligence-gathering needs are met. The main gap is the disabled extract_yc leaving YC data only reachable indirectly via the composite tools.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive