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cafferychen777

ChatSpatial

by cafferychen777
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Python
Hybrid

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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

    B3.2/5.0

    Scored across 20 tools

    Disambiguation4/5

    Tools map to distinct analytical tasks such as loading, preprocessing, embedding, annotation, and downstream analyses, with descriptions that clarify each tool's role. However, 'find_markers' and 'compare_conditions' both involve differential expression and could be confused, and 'analyze_spatial_statistics' overlaps somewhat with 'find_spatial_genes'.

    Naming Consistency5/5

    Nearly all tools follow a consistent verb_noun pattern like load_data, visualize_data, and analyze_enrichment. The naming is predictable and uniform, making tool selection straightforward.

    Tool Count3/5

    20 tools is on the heavy side and sits in the 16-25 range that feels bloated for a typical MCP server. Each tool does appear to serve a distinct stage in the spatial transcriptomics workflow, but the overall surface is large.

    Completeness4/5

    The set covers the full analysis lifecycle from data loading, preprocessing, embedding, annotation, and a wide range of downstream analyses through export/reload. Minor gaps include no list/delete data management tools and no explicit metadata retrieval tool after loading, but these are workable.

    Maintenance

    ActivityMaintained
    ResponsivenessResponsive

    Resources