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research-mcp

by KB01111
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Python
Hybrid

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    TDQS

    A3.6/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a distinct stage in the research pipeline (search, scrape, rerank, summarize), and `research` serves as an orchestrator that combines these steps. No two tools have overlapping core functions, so an agent can easily select the right tool for a specific need.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun pattern (scrape_url, rerank_docs, summarize_docs), but `research` and `search_all` deviate slightly. This is a minor inconsistency that does not hinder readability.

    Tool Count5/5

    With 5 tools, the server is well-scoped for a research workflow. Each tool covers a necessary step in the pipeline, and the count is neither too sparse nor bloated.

    Completeness5/5

    The tool set provides end-to-end coverage from searching multiple sources to summarizing final answers. The individual building blocks (search_all, scrape_url, rerank_docs, summarize_docs) and the composite `research` tool leave no obvious gaps for typical research tasks.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources