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All-in-MCP

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Python
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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

    C2/5.0

    Scored across 7 tools

    Disambiguation2/5

    The tools are split into two distinct domains (academic papers and GitHub), but within the GitHub group, three tools lack descriptions and are ambiguously named (e.g., getRepoAllDirectories vs getRepoDirectories). The apaper tools are well-described and distinct.

    Naming Consistency2/5

    Tool names follow two different conventions: snake_case with 'apaper_' prefix for academic tools, and camelCase with 'github-repo-mcp_' prefix for GitHub tools. This inconsistency makes it harder for an agent to predict naming patterns.

    Tool Count3/5

    The total of 7 tools is reasonable, but the server tries to cover two unrelated domains with only a few tools each. The academic part (~4 tools) is appropriately scoped, while the GitHub part (3 tools) feels marginal for a repository toolset.

    Completeness2/5

    The academic paper tools cover search and download, which is decent. However, the GitHub tools only provide read operations (get directories and file) with no support for listing repositories, searching code, or any write actions, leaving significant gaps for typical repository interactions.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources