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650,545 tools. Updated 2026-10-14 07:11

"Natural language interface for PostgreSQL database querying" 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
  • Creates a registered application's PostgreSQL database and role, generates its password on the host, and writes PostgreSQL and Valkey settings to shared/.env from a matching plan.
    MIT
  • 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
  • Plan a registered application's PostgreSQL database, database role, Valkey namespace, and protected remote environment file without applying any changes.
    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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    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

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  • 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
  • Process natural language queries to obtain structured data on leads, contacts, and opportunities. Supports table, natural, or combined response formats.
    MIT
  • Define extraction instructions to structure documents into typed records, optionally linked to a folder, for natural language querying.
    MIT
  • Inspect PostgreSQL database schema to retrieve tables, columns, types, indexes, constraints, enums, and extensions.
    MIT
  • Provision a new PostgreSQL database and receive a connection string ready for immediate use.
    MIT
  • Get an overview of the PostgreSQL CVE database with total CVEs, known exploits, yanked releases, and active/EOL counts.
    Apache 2.0
  • Search for LPM packages using natural language or structured filters. Find packages by category, ecosystem, distribution, license, and more.
    ISC
  • 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
  • Turn natural-language questions into executed SQL queries against a database, returning results, row counts, and self-correcting errors while exploring the schema.
    MIT
  • Inspect PostgreSQL table structure before querying: shows columns, data types, nullability, defaults, primary keys, indexes, and foreign keys.
    MIT