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Payload MCP Server

@ngyngcphu

リポジトリ

基本情報

カテゴリ

開発者ツール

ライセンス

MIT

トランスポート

stdio

作者

ngyngcphu

Payload MCP Server について

MCP server for Payload CMS 3.0, designed to help developers validate code, generate templates, and scaffold projects following best practices.

#payload#mcp#cms#development#ai-assistant

Payload MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "payload-mcp": {
      "command": "npx",
      "args": [
        "@ngyngcphu/payload-mcp"
      ]
    }
  }
}

Payload MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Payload MCP?

Payload MCP is a Model Context Protocol (MCP) server for Payload CMS that enables AI assistants to help you develop, manage, and extend your Payload CMS projects. It provides tools for generating code, validating components, scaffolding projects, and performing specialized queries—all accessible to AI agents through the standardized Model Context Protocol.

How to use Payload MCP?

Install the package globally (npm install -g @ngyngcphu/payload-mcp), then configure your MCP client (e.g., Cursor) by adding the server entry to your mcp.json with npx @ngyngcphu/payload-mcp as the command. The server starts automatically when needed; optionally start it manually with npx @ngyngcphu/payload-mcp.

Key features of Payload MCP

  • Generates boilerplate code for collections, fields, hooks, and more
  • Validates Payload CMS components against best practices
  • Scaffolds new Payload CMS projects with recommended structure
  • Provides specialized queries for codebase insights
  • Works with any AI assistant that supports MCP
  • Runs entirely locally for privacy and security

Use cases of Payload MCP

  • Rapidly scaffold a new Payload CMS blog project with authentication, collections, and admin customization
  • Ask an AI assistant to generate a complete collection configuration with fields, hooks, and access control
  • Validate existing Payload CMS components to catch issues early in development
  • Add features (like authentication or deployment setup) to an existing Payload project via AI guidance
  • Query and analyze a Payload codebase to get recommendations and formatted responses

よくある質問

1

What runtime environments does Payload MCP require?

Node.js v16 or higher and npm (Bun recommended). The server runs locally and communicates over HTTP.

2

How do I connect my AI assistant to Payload MCP?

Configure your MCP client (e.g., Cursor) by adding the server entry to its `mcp.json` with the command `npx @ngyngcphu/payload-mcp`. The server listens on port 3001 by default.

3

Can I use Payload MCP without an AI assistant?

Yes—you can start the server manually with `npx @ngyngcphu/payload-mcp` and interact with tools programmatically, but the primary design is to provide tools to AI agents via the Model Context Protocol.

4

What types of code can Payload MCP generate?

It generates boilerplate for collections, fields, config files, access control rules, hooks, custom endpoints, plugins, blocks, migrations, and React admin components.

5

Is Payload MCP ready for production use?

No—it is marked as a work in progress and not yet feature-complete. APIs, configurations, and CLI commands may change without notice. Use at your own risk.

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