Neon MCP Server

What does “Neon” MCP Server do?

The Neon MCP Server is a tool designed to facilitate seamless interaction between AI assistants and the Neon Management API, as well as Neon-hosted databases. By acting as an interface layer, it allows AI-driven workflows to securely perform database management tasks, query databases, and manage infrastructure through Neon’s robust API. This enables developers and AI assistants to automate and streamline common operations such as creating, scaling, or administering cloud Postgres instances. Through this integration, development workflows become more efficient, as AI agents can leverage live database context and perform real-time modifications or queries, ultimately bridging the gap between LLMs and production-grade data systems.

List of Prompts

No information on prompt templates was found in the repository.

List of Resources

No explicit list of MCP resources was found in the repository.

List of Tools

No explicit list of tools was found in the top-level files or directory listing. The code in server.py or equivalent was not visible from the available files.

Use Cases of this MCP Server

• Database Management: AI agents can create, modify, or delete Neon Postgres databases on demand, automating infrastructure management and scaling.
• Query Execution: The server can act as a secure proxy for executing SQL queries on Neon databases, enabling dynamic data retrieval and manipulation.
• API Integration: Allows developers to connect LLMs to the Neon Management API for automating workflows such as user provisioning or performance monitoring.
• Cloud Resource Automation: Streamlines tasks like backup, restore, and configuration management for Neon cloud resources, enhancing reliability and DevOps efficiency.

How to set it up

Windsurf

1. Ensure Node.js is installed.
2. Open your Windsurf configuration file.
3. Add the Neon MCP Server using a JSON snippet within the mcpServers object.
4. Save the configuration and restart Windsurf.
5. Verify connection to the Neon MCP server.

{
  "mcpServers": {
    "neon": {
      "command": "npx",
      "args": ["@neon/mcp-server@latest"]
    }
  }
}

Securing API Keys Example:

{
  "mcpServers": {
    "neon": {
      "command": "npx",
      "args": ["@neon/mcp-server@latest"],
      "env": {
        "NEON_API_KEY": "${NEON_API_KEY}"
      },
      "inputs": {
        "apiKey": "${NEON_API_KEY}"
      }
    }
  }
}

Claude

1. Install Node.js on your system.
2. Locate Claude’s configuration file and open it.
3. Add Neon MCP Server details to the mcpServers section.
4. Save changes and restart Claude.
5. Confirm connectivity to Neon.

{
  "mcpServers": {
    "neon": {
      "command": "npx",
      "args": ["@neon/mcp-server@latest"]
    }
  }
}

Use the same environment variable pattern as above for securing API keys.

Cursor

1. Make sure Node.js is present.
2. Open Cursor’s configuration file.
3. Insert the Neon MCP Server into the mcpServers array/object.
4. Save the file and reboot Cursor.
5. Test the connection.

{
  "mcpServers": {
    "neon": {
      "command": "npx",
      "args": ["@neon/mcp-server@latest"]
    }
  }
}

Example for environment variables as above.

Cline

1. Install Node.js if required.
2. Edit the Cline configuration to add the Neon MCP Server under mcpServers.
3. Use the provided JSON format.
4. Save and restart the application.
5. Ensure Neon MCP is active.

{
  "mcpServers": {
    "neon": {
      "command": "npx",
      "args": ["@neon/mcp-server@latest"]
    }
  }
}

Environment variables and API key configuration as shown above.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "neon": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “neon” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Between the available documentation and the open-source indicators, the Neon MCP Server provides a solid starting point for AI-to-database workflows, but lacks detailed public documentation on prompts, tools, and resources. For a production AI integration, further investigation or direct repo exploration would be needed.

Our opinion

Overall, the Neon MCP Server is promising for AI-driven database management but would benefit from more comprehensive documentation about its internal MCP primitives (tools, resources, prompts). For now, its strengths lie in its clear licensing, popularity, and practical value for Neon database automation.

MCP Score