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337,950 tools. Last updated 2026-07-30 03:22

"A guide for executing queries in a GCP PostgreSQL database" matching MCP tools:

  • Switches the active PostgreSQL server and database connection. Required before executing queries; specify server from list_servers and optionally select database and schema.
    MIT
  • Load starter queries generated from your database schema to quickly orient yourself in unfamiliar data.
    Apache 2.0
  • 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
  • Monitor active database queries and processes on Heroku apps to identify long-running queries, track progress, debug performance issues, and view resource usage in real-time.
    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

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    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
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  • Build and preview a database-to-database transfer command without executing. Shows the masked CLI command and auto-suggests parallelism method based on source type.
    MIT
  • Create database backups for PostgreSQL, MySQL, and SQLite using native dump tools, with output paths sandboxed to a designated backup directory.
    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
  • 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
  • Monitor currently running PostgreSQL queries to identify performance bottlenecks and manage database connections effectively.
    MIT
  • Retrieve best practices for code patterns and recommendations by searching across all guides or within a specific guide using natural language queries.
    MIT
  • Run SQL queries against a PostgreSQL database with read-only by default. Supports parameterized queries to prevent SQL injection and truncates large results.
    MIT