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Layer Prompt Manager MCP Server

@vivek100

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

vivek100

Layer Prompt Manager MCP Server について

This helps you create a mcp server which your IDE can access to create and save prompts for you code base

#codepromptmanager#prompt-management#ai-integration

Layer Prompt Manager 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": {
    "codePromptManagerMCP": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Layer Prompt Manager 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。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Layer Prompt Manager?

Layer Prompt Manager is an MCP server that saves, versions, and manages custom AI prompts for code repositories. It integrates with AI-powered IDEs like Cursor and GitHub Copilot, connecting your development environment to the Layer platform.

How to use Layer Prompt Manager?

Set up the backend (Python 3.8+, SQLite) and frontend (Node.js v16+), configure environment variables (LAYER_API_KEY, LAYER_BASE_URL, NEXT_PUBLIC_API_URL), then use the web UI to create, edit, version, and manage prompts and templates.

Key features of Layer Prompt Manager

  • Save prompts directly from your AI-powered IDE.
  • Version control for prompts with change notes.
  • Create, edit, and manage Layer prompts.
  • Pre-built and custom templates for team standardization.
  • Modern matrix-inspired dark mode UI.

Use cases of Layer Prompt Manager

  • Build a library of effective prompts specific to your codebase.
  • Standardize AI interactions across your development team.
  • Track prompt evolution and compare different versions.
  • Roll back to previous prompt versions when needed.
  • Share and reuse common prompt patterns with templates.

よくある質問

1

What is Layer Prompt Manager?

It saves and versions custom AI prompts for your code repositories, seamlessly integrating with AI-powered IDEs like Cursor and GitHub Copilot.

2

How do I set up Layer Prompt Manager?

Requires Node.js v16+, Python 3.8+, pip, and SQLite. Backend uses FastAPI; frontend uses Next.js. You need a Layer API key and base URL.

3

What environment variables are needed?

Backend: `LAYER_API_KEY` and `LAYER_BASE_URL`. Frontend: `NEXT_PUBLIC_API_URL` pointing to the backend server.

4

Can I manage versions of prompts?

Yes. Each prompt can have multiple versions with change notes. You can compare and restore previous versions.

5

Is there a template system?

Yes. You can use pre-existing templates and create your own to standardize AI interactions across your team.

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