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syncly-dataset-mcp

syncly-dataset-mcp

by rimmade
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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

    A4.1/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool serves a distinct purpose: listing queries, describing datasets, computing metrics, retrieving posts by ID, ranking posts, executing SQL, searching by keyword, and searching for Voice of Customer. There is no overlap in functionality.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun pattern (e.g., list_data_queries, get_posts_by_ids, search_posts). However, 'safe_query' deviates from the pattern (adjective_noun), and the use of 'search_voc' instead of 'search_voice_of_customer' is slightly inconsistent.

    Tool Count5/5

    8 tools is an ideal number for a dataset analytics MCP server. Each tool covers a necessary operation: discovering datasets, describing schema, computing metrics, retrieving posts, ranking, custom SQL, and two search methods. No tool feels redundant or missing.

    Completeness4/5

    The tool set covers the main analytics use cases: listing, describing, retrieving, searching, and computing metrics. Custom SQL via safe_query fills gaps for advanced aggregations. However, there is no tool for creating or modifying datasets, which is acceptable for a read-only analytics server.

    Resources