neon-database-manager

Verridian-ai's avatarfrom Verridian-ai

Tool for managing Neon Postgres databases. Use for listing projects, inspecting schema, and running queries.

⭐1stars🔀0forks📁View on GitHub🕐Updated Jan 8, 2026
[Databases and Warehouses]

When & Why to Use This Skill

The Neon Database Manager is a powerful Claude skill designed to streamline the management of Neon serverless Postgres databases. By leveraging MCP tools, it enables users to list projects, inspect database schemas, and execute SQL queries directly within the chat interface. This skill is essential for developers and data analysts who need to interact with their serverless infrastructure efficiently, providing a seamless bridge between AI-driven insights and live database management.

Use Cases

  • Schema Exploration: Quickly list database tables and inspect column structures to understand data models without leaving the development workflow.
  • Live Data Querying: Execute SQL SELECT statements to retrieve specific records, perform data validation, or run ad-hoc analysis on the fly.
  • Environment Management: Navigate through multiple Neon projects and branches to monitor and manage different environments such as development, staging, and production.
  • Debugging and Verification: Use the AI agent to verify data integrity or check for specific database entries during the application debugging process.
nameNeon Database Manager
descriptionTool for managing Neon Postgres databases. Use for listing projects, inspecting schema, and running queries.

Neon Database Manager Skill

This skill grants access to the neon MCP tools. Use this to manage your Serverless Postgres instances.

When to use

  • Inspecting Neon projects and branches.
  • Querying tables in a Neon database.
  • Checking database schema.

Available Tools (Context Loaded)

The following tools are available via the neon MCP server:

Management

  • mcp__neon__list_projects: View available Neon projects.

Inspection & Querying

  • mcp__neon__get_database_tables: List tables in a specific branch/database.
  • mcp__neon__run_sql: Execute SQL queries against the database.

Best Practices

  1. Read-Only First: Prefer run_sql for SELECT statements. Be cautious with data modification.
  2. Schema Awareness: Use get_database_tables before constructing complex queries to ensure column names are correct.

Example Workflow

  1. User: "Check the users table in the dev branch."
  2. Agent: Calls list_projects to find the project ID.
  3. Agent: Calls get_database_tables to verify the table exists.
  4. Agent: Calls run_sql to select data.