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
519,985 tools. Updated 2026-09-06 08:15
"Natural language interface for PostgreSQL database querying" matching MCP tools:
- Download completed Rapid7 vulnerability, policy, or remediation exports and load them into the local database for querying.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
- 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
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceA 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
- AlicenseAqualityBmaintenanceProvides read-only tools to search, read, and look up Natural API documentation from an AI agent, enabling documentation lookup without credentials.4MIT
Matching MCP Connectors
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- List all installed PostgreSQL extensions in your database to view available features and capabilities.MIT
- Execute read-only SQL queries against your PostgreSQL database and retrieve the results.MIT
- 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
- Fetch the schema of a connected PostgreSQL database, listing all tables and columns.MIT
- Search for LPM packages using natural language or structured filters. Find packages by category, ecosystem, distribution, license, and more.ISC
- 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
- Update the active PostgreSQL database or schema without reconnecting. Omit a parameter to keep it unchanged, enabling quick context switches for queries.MIT
- Compare managed PostgreSQL database pricing across AWS, Azure, GCP, and OCI by specifying vCPUs, memory, and storage to find the cheapest option per cloud.MIT
- Verify Azure credentials for Azure Database for PostgreSQL Flexible Server access and identify the mapped PostgreSQL login role. Use it first to diagnose authentication problems.MIT
- Validate SQL query syntax without executing it. Uses an EXPLAIN-like check to confirm the query is valid for the target database. Works with engines like PostgreSQL.MIT
- Get a list of supported database engine types, such as PostgreSQL, MySQL, and SQLite, to select the right engine when creating a new database connection in Superset.MIT