Neon MCP Server

Created By
neondatabase-labsa year ago
MCP server for interacting with Neon Management API and databases
Overview

What is Neon MCP Server?

Neon MCP Server is a server designed for interacting with the Neon Management API and databases using the Model Context Protocol (MCP). It allows users to manage databases and perform operations through natural language commands.

How to use Neon MCP Server?

To use the Neon MCP Server, you need to install it via Smithery or run it locally with your Neon API key. After installation, you can issue commands through Claude Desktop to manage your databases.

Key features of Neon MCP Server?

  • Supports various database management commands such as creating, deleting, and describing projects and branches.
  • Allows running SQL commands and managing database migrations safely.
  • Integrates with Claude Desktop for natural language processing.

Use cases of Neon MCP Server?

  1. Creating and managing Postgres databases through natural language.
  2. Running migrations on database schemas with LLM assistance.
  3. Listing and describing existing projects and their data.

FAQ from Neon MCP Server?

  • What is the Model Context Protocol (MCP)?

MCP is a standardized protocol for managing context between large language models and external systems.

  • Do I need an API key to use the Neon MCP Server?

Yes, you need a Neon API key which can be generated through the Neon console.

  • Is there a guide for using the Neon MCP Server?

Yes, there are several guides available for different clients like Claude Desktop and Cline.

Server Config

{
  "mcpServers": {
    "neon": {
      "command": "npx",
      "args": [
        "-y",
        "@neondatabase/mcp-server-neon",
        "start",
        "{NEON_API_KEY}"
      ]
    }
  }
}
Project Info
Featured
Created At
a year ago
Updated At
a year ago
Author Name
neondatabase-labs
Star
290
Language
TypeScript
License
MIT license
Category
databases
Tags

Recommend Servers

View All
Krtr.ai
@KRTR.ai

KRTR are the pre-diligence AI experts — the intelligence layer for the people who fund, accelerate, and build early-stage companies. Pre-diligence is the work that happens BEFORE term sheets and formal due diligence — the screening, triage, and pattern-matching that decides whether a deal moves forward. Done well, it compresses weeks of analyst work into minutes and surfaces the specific gaps that drive better founder conversations. Upload a pitch deck and KRTR runs a multi-agent Assess Report in 5–10 minutes: typed agent waves across LLM cascades, an AI Reviewer validating every claim against industry-specific reasoning, scores calibrated on KRTR's proprietary industry rubric so a 78 on a SaaS deal means the same peer-relative position as a 78 on a biotech deal. For individual investors and scouts: triage deal flow, capture signals, set dispositions, prep for partner meetings. See live peer activity attributed within your firm, anonymized across competitors. For VC firms, accelerators, and incubators: screener-mediated or direct intake, attributed team signals, expert invites, configurable funnel stages, and AI-synthesized deal memos ready for partner or cohort review. For founders: see exactly how investors and AI score your deck, fix the gaps the platform flags, iterate in a private sandbox, then release updates and ping engaged reviewers. KRTR Connect surfaces matched investors and programs; the Dataroom and Meeting Brief tools close the loop on every conversation. KRTR is pre-diligence intelligence — built to drive evidence-based engagement, not replace human judgment.

a day ago
Okareo Mcp

a day ago