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pg-multi-mcp

by Snarloff
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Python
Hybrid

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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

    A3.6/5.0

    Scored across 17 tools

    Disambiguation4/5

    Most tools target clearly distinct operations: connection lifecycle, schema/object introspection, query execution, health analysis, and index recommendations. A few boundaries are slightly subtle, especially use_connection vs. open_connection and the three query/index analysis tools, but descriptions provide enough distinction.

    Naming Consistency5/5

    All tool names use consistent snake_case with predictable verb_noun phrasing, such as list_connections, add_connection, execute_sql, and analyze_db_health. The pattern is stable across SQL, MongoDB, connection, and analysis tools.

    Tool Count4/5

    Seventeen tools is slightly heavy but reasonable for a multi-database server covering connection management, introspection, query execution, health checks, and index analysis. Each tool appears to serve a meaningful role rather than duplicating another.

    Completeness4/5

    The surface covers the core lifecycle: add/remove/open/close/use/reload connections, list schemas and objects, inspect details, execute SQL and MongoDB operations, explain queries, analyze health, and recommend indexes. Minor gaps exist, such as no dedicated MongoDB explain or broader transaction/administration tooling, but agents can work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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