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CockroachDB MCP Server

by bpamiri
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Python
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    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

    A3.6/5.0

    Scored across 30 tools

    Disambiguation5/5

    Each tool has a distinct purpose with clear boundaries. For example, execute_query runs queries while explain_query provides plans, and read_rows is for table reads versus list_tables for metadata. No tools appear to overlap in functionality, making selection straightforward.

    Naming Consistency5/5

    All tools follow a consistent verb_noun naming pattern (e.g., begin_transaction, cancel_query, cluster_status). The naming is uniformly snake_case and uses clear, descriptive verbs that align with database operations, ensuring predictability across the set.

    Tool Count4/5

    With 30 tools, the count is on the higher side but reasonable for a comprehensive database server covering connections, queries, transactions, metadata, and cluster management. It feels slightly heavy but each tool serves a specific role in the domain without obvious redundancy.

    Completeness5/5

    The toolset provides complete coverage for CockroachDB operations, including connection management, CRUD operations (insert_row, read_rows, update_row, delete_row, upsert_row), transactions, query execution and analysis, metadata inspection, and cluster monitoring. No significant gaps are apparent for typical database workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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