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619,682 tools. Updated 2026-09-28 16:42

"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
  • Generate starter queries for a database schema to quickly orient yourself in unfamiliar databases and begin exploration.
    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
  • Inspect database schemas and tables for a specific workload without executing SQL. Provide team and workload IDs to review structure and plan queries.
    MIT
  • 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
  • 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

Matching MCP Servers

  • F
    license
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    B
    maintenance
    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.
    4
    -

Matching MCP Connectors

  • AI agents hire a human to observe, log or film on site. Typed results, feasibility before payment.

  • Permit-verified ADU rentals, pre-approved plans and cited ADU rules for LA, San Diego, SF and NYC.

  • 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
  • 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
  • Retrieve database tables and columns in an LLM-friendly format before writing SQL queries against an existing database.
    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
  • Monitor currently running PostgreSQL queries to identify performance bottlenecks and manage database connections effectively.
    MIT
  • Execute SQL statements on a PostgreSQL database with read-only safety by default and parameterized queries to prevent SQL injection. Returns up to 1000 rows per query.
    MIT
    Destructive
  • Inspect deployed GCP infrastructure after a deployment attempt. Fetches read-only credentials and queries the GCP API to return summary or detailed resource information.
    Apache 2.0