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524,366 tools. Updated 2026-09-06 15:15

"Overview and Resources for PostgreSQL Database System" matching MCP tools:

  • Upgrade PostgreSQL database versions safely for Heroku apps. Plan migration paths, verify compatibility, and execute controlled upgrades with confirmation protection to ensure a secure transition.
    Apache 2.0
  • Establish database connections for PostgreSQL, MySQL, or SQLite to enable querying, schema management, and migration operations within the Berth MCP server.
    MIT
  • Create database backups for PostgreSQL, MySQL, and SQLite using native dump tools, with output paths sandboxed to a designated backup directory.
    MIT
  • Get system overview with OS, CPU, memory, disk, and uptime to monitor system health and performance.
    MIT
  • Run SQL queries to analyze, modify, or troubleshoot Heroku PostgreSQL databases. Execute commands or file-based queries with credential management for direct database access.
    Apache 2.0

Matching MCP Servers

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    maintenance
    A Model Context Protocol (MCP) Server that allows AI models to securely interact with data hosted in Azure Database for PostgreSQL. It enables natural language querying, schema exploration, and data management through MCP clients like Claude Desktop and Visual Studio Code.
    MIT

Matching MCP Connectors

  • Google AI Overview answers and cited sources via the Apify Google AI Overview API, hosted MCP.

  • Build and manage your design system with AI: tokens, themes, components, icons, Figma and code.

  • Analyze Heroku PostgreSQL database configurations, monitor performance metrics, and assess health and resource usage. Obtain detailed insights into database operations for informed decision-making.
    Apache 2.0
  • Create daemon apps from GitHub or Docker, and database services (PostgreSQL, Redis, MySQL, MongoDB) for Bult projects.
    MIT
  • Inspect PostgreSQL database schema to retrieve tables, columns, types, indexes, constraints, enums, and extensions.
    MIT
  • Run read-only SQL statements on your PostgreSQL database to fetch data without risking modifications, as writes are automatically rejected and transactions rolled back.
    MIT
  • Check PostgreSQL server version, connection status, and extension availability to verify database accessibility and configuration before monitoring or analysis tasks.
    MIT
  • Retrieve comprehensive statistics for all PostgreSQL database tables, including access patterns, tuple operations, and maintenance history to analyze usage and identify maintenance needs.
    MIT
  • Execute SQL SELECT queries to retrieve data from PostgreSQL databases. This read-only tool returns query results with rows, columns, and metadata for database analysis.
    MIT
  • Update the active PostgreSQL database or schema without reconnecting. Omit a parameter to keep it unchanged, enabling quick context switches for queries.
    MIT
  • Retrieve overview statistics for the Apple documentation database to assess its scope and health, including total docs, AI model, and sample titles.
    MIT
  • Checks database connectivity, pool stats, uptime, and PostgreSQL system health to verify responsiveness and diagnose performance issues.
    MIT
  • Retrieve a list of all PostgreSQL databases with owner, encoding, size, and connection limit information to monitor server resources and identify existing databases.
    MIT