Neon - OpenClaw Skill — OpenClaw Tutorials

Install Command

npx clawhub@latest install neon

Installation Guide

Check Environment

Make sure Node.js 22+ and OpenClaw are installed. Run openclaw --version in your terminal to verify.

Run Installation

Run the install command above in your terminal. ClawHub will automatically download and install Neon to the ~/.openclaw/skills/ directory.

Verify Installation

Run openclaw skills list to check your installed skills and confirm Neon appears in the list.

Configure (Optional)

Follow the configuration instructions in the description below to add skill settings to ~/.config/openclaw/openclaw.json5.

Manual Installation: Copy the Skill folder to ~/.openclaw/skills/ or the skills/ directory in your project root. Make sure the folder contains a SKILL.md file.

Database branch creation and management SQL query and transaction execution Schema migration and rollback

Detailed Description

Neon MCP server provides AI with complete management capabilities for Neon Serverless Postgres. Neon's database branching feature makes it possible to safely experiment with database changes within AI conversations.

Core Features

SQL Query (query): Execute SQL queries on a specified database, supporting SELECT, INSERT, UPDATE, DELETE, and other operations, returning structured results
Branch Management: Create, list, and delete database branches — branches work like Git, allowing database snapshots to be created from any point in time
Project Management: Create and manage Neon projects, configure compute resources and storage settings
Schema Operations: View database table structures, execute DDL statements for schema changes
Connection Info: Get database connection strings, manage roles and permissions

Configuration

{
  "mcpServers": {
    "neon": {
      "command": "npx",
      "args": ["-y", "@neondatabase/mcp-server-neon"],
      "env": {
        "NEON_API_KEY": "your-neon-api-key"  // Get from Neon Console
      }
    }
  }
}

Use Cases

Development debugging: Create branches to test SQL changes in isolated environments
Data analysis: Execute queries directly in conversations to analyze business data
Schema design: Let AI help design and optimize database table structures
Data migration: Manage schema changes and data migration scripts

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