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Web Research MCP

by infinit3labs
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Python
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    TDQS

    A4/5.0

    Scored across 10 tools

    Disambiguation4/5

    Most tools have clear, distinct purposes: general web, Wikipedia, arXiv, Hacker News, StackExchange, Crossref metadata, and evidence extraction are clearly separate. Minor overlap exists between search_academic (arXiv preprints) and search_scholar_meta (Crossref metadata), since both find scholarly papers, but their descriptions make the distinction clear enough. The plan_research and research tools are also clearly separated as planning vs. execution.

    Naming Consistency4/5

    Tools mostly follow verb_noun naming (search_web, fetch_url, search_wikipedia, plan_research, extract_evidence), but some are slightly off: search_scholar_meta uses a noun descriptor for a source rather than a clean object; research is a standalone verb, and fetch_url/extract_evidence are both verb_noun but diverge in verb choice. No mixed casing or chaotic naming, so overall predictable and readable.

    Tool Count5/5

    10 tools is within the ideal 3-15 range and appropriate for a research server: search methods for multiple sources, plus a planner, an executor, and a fetcher/extractor. Each tool serves a distinct role without redundancy, and the scale is not too heavy to handle.

    Completeness4/5

    The server covers the core research pipeline fairly well: plan, search, extract, synthesize. Minor gaps: no full-text search on Crossref tokens or thousands; abstracts only for arXiv; no search by author/full-text Google Scholar type search; PDF retrieval across fetch_url may not work; no citation graph or retrieval. Useful but not complete.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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