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Excel MCP Server

by yzfly
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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

    B3.4/5.0

    Scored across 8 tools

    Disambiguation4/5

    Most tools have distinct purposes like reading, writing, filtering, and analyzing Excel data, but analyze_excel and data_summary overlap significantly as both perform data analysis/summarization. The descriptions help differentiate them slightly, but an agent might struggle to choose between them for basic statistical tasks.

    Naming Consistency5/5

    All tools follow a consistent verb_noun or verb_excel pattern (e.g., read_excel, update_excel, filter_excel, pivot_table). The naming is predictable and readable throughout, with no mixing of conventions like camelCase or snake_case deviations.

    Tool Count5/5

    With 8 tools, this server is well-scoped for Excel operations, covering core tasks like reading, writing, updating, filtering, analyzing, summarizing, charting, and pivoting. Each tool earns its place without feeling excessive or insufficient for the domain.

    Completeness4/5

    The toolset provides strong coverage for Excel data manipulation and analysis, including CRUD-like operations (read, write, update) and advanced features (pivot tables, charts). A minor gap exists in lacking tools for specific Excel formatting or cell-level edits, but agents can work around this with the available tools.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive

    Resources