Skip to main content
Glama
Yash-0620

postgres-mcp

by Yash-0620
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Related Servers

Alternatives to postgres-mcp

No user-submitted related servers found.

    Related Servers

    • pgwarden-mcp

      gokiwitech
      A
      license
      Not graded
      quality
      C
      maintenance
      A Postgres MCP server that enables AI agents to safely access production databases through deny-by-default YAML policies, PII masking, row limits, and required predicates. It also provides DBA capabilities like index tuning, health checks, and EXPLAIN plans, with support for multiple databases.
      MIT

    • Postgres MCP Pro

      linh1306
      A
      license
      Not graded
      quality
      Not graded
      maintenance
      An open-source MCP server that provides AI agents with advanced PostgreSQL capabilities including index tuning, query plan optimization, and comprehensive database health analysis. It supports safe SQL execution through configurable access modes and offers both stdio and SSE transport options for various development environments.
      MIT

    • Postgres MCP Pro

      moecodeshere
      A
      license
      B
      quality
      D
      maintenance
      An open source Model Context Protocol server for PostgreSQL that provides database health analysis, index tuning, query plan exploration, and safe SQL execution for AI agents throughout the development process.
      9
      MIT

    • postgres-mcp-js

      shubham4038
      A
      license
      A
      quality
      C
      maintenance
      A Model Context Protocol (MCP) server for PostgreSQL that provides safe, structured access to your database for AI assistants, enabling health checks, index tuning, lock analysis, and more.
      13
      9 npm
      MIT
    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

    A3.7/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: listing schemas, executing SQL, listing objects, getting details, explaining queries, analyzing indexes (with two variants), health checks, and top queries. No overlap or ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern (e.g., list_schemas, execute_sql, analyze_db_health). No mixing of styles or irregular verbs.

    Tool Count5/5

    9 tools is an appropriate size for a database management and analysis server. It covers key operations without being overwhelming or too sparse.

    Completeness4/5

    The set covers schema inspection, SQL execution, object details, query analysis, index recommendations, health checks, and performance queries. Minor gaps like missing direct table size tools are acceptable given the analysis focus.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources