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penny4nonsense

mcp-scholaris

by penny4nonsense
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Python
Remote

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    • paper-mcp

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      Provides real-time access to over 200 million scientific papers and full-text extraction from major academic sources including arXiv, OpenAlex, and PubMed Central. It enables users to search, fetch metadata, and analyze citations across multiple research disciplines through a unified Model Context Protocol interface.
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.3/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly separate roles: search_papers is for discovery, returning metadata about papers, while fetch_paper retrieves full text for a known identifier. There is no overlap in purpose or output.

    Naming Consistency5/5

    Both tool names follow a consistent verb_noun snake_case pattern: search_papers and fetch_paper. The naming clearly communicates what each tool does and matches the same style.

    Tool Count4/5

    With only two tools, the server is on the small side, but the two operations form a natural and sufficient pair for a focused scholarly search-and-retrieval tool. Each tool is essential and earns its place.

    Completeness5/5

    For the stated purpose of finding academic papers and retrieving their full text, the pipeline is complete: search returns identifiers and metadata, and fetch consumes those identifiers to return content. No obvious dead ends or missing core operations exist in this read-only domain.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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