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biocontext-ai

anndata-mcp

by biocontext-ai
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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

    B3.1/5.0

    Scored across 3 tools

    Disambiguation4/5

    The three tools have distinct purposes: view_raw_data displays raw data, get_summary provides a structural overview, and get_descriptive_stats computes statistical summaries. While summary and stats could overlap slightly, their focus on structure vs. attribute-level statistics keeps them distinguishable.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using 'view_' or 'get_' prefixes, making the naming predictable and easy to understand.

    Tool Count3/5

    With only 3 tools, the server is on the thin side but appropriate for a focused read-only inspection toolset. It is not too sparse to be useless, but it offers limited functionality.

    Completeness2/5

    The server is missing common AnnData operations such as listing attributes, accessing subsets, or modifying/saving data. This creates significant gaps for users expecting a more complete workflow, though basic inspection is covered.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources