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DBeaver MCP Server

by srthkdev
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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    B3.4/5.0

    Scored across 14 tools

    Disambiguation4/5

    Most tools have distinct purposes, but 'execute_query' and 'write_query' could cause confusion as both execute SQL queries, with the distinction being read-only vs. write operations. Other tools like 'create_table', 'alter_table', and 'drop_table' are clearly differentiated for table management.

    Naming Consistency5/5

    All tools follow a consistent verb_noun naming pattern (e.g., 'create_table', 'list_connections', 'execute_query'), with no mixing of conventions like camelCase or snake_case variations. This predictability makes the tool set easy to navigate and understand.

    Tool Count5/5

    With 14 tools, the count is well-scoped for a database management server, covering core operations like connection handling, query execution, table management, and data export. Each tool serves a specific function without redundancy, fitting the domain appropriately.

    Completeness4/5

    The tool set provides comprehensive coverage for database operations, including CRUD for tables, connection management, and query execution. A minor gap exists in data manipulation beyond basic queries, such as bulk operations or transaction handling, but core workflows are well-supported.

    Maintenance

    ActivitySlowing
    ResponsivenessSlow

    Resources