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Claude Custom Prompts MCP Server

@minipuft

基本情報

カテゴリ

AI とエージェント

ライセンス

AGPL-3.0

トランスポート

stdio

作者

minipuft

Claude Custom Prompts MCP Server について

MCP prompt template server: hot-reload, thinking frameworks, quality gates

Claude Custom Prompts 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": {
    "claude-prompts-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "claude-prompts@latest",
        "--init=~/my-prompts"
      ]
    }
  }
}

Claude Custom Prompts 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 🚀 Claude Custom Prompts MCP Server?

It is an MCP workflow server that lets you craft reusable prompts with validation and reasoning guidance, orchestrate multi‑step agentic workflows using a composable operator syntax, and export them as native skills. Designed for AI clients like Claude Code, Claude Desktop, VS Code, Cursor, OpenCode, and Gemini CLI, it provides 90+ bundled prompt templates, gates for output validation, and hot‑reloadable YAML resources.

How to use 🚀 Claude Custom Prompts MCP Server?

Install via Claude Code marketplace (/plugin install claude-prompts@minipuft) for hooks and bundled resources, or run with npx (npx -y claude-prompts@latest --client=claude-code) for Claude Desktop and other editors. Invoke prompts with the >> syntax (e.g., >>tech_evaluation_chain library:'zod' context:'API validation'). Optionally create your own workspace with --init=~/my-prompts and set MCP_WORKSPACE or MCP_RESOURCES_PATH to load custom prompts alongside the defaults.

Key features of 🚀 Claude Custom Prompts MCP Server

  • Versioned YAML prompt templates with hot‑reload
  • Validation gates that block or advise on output quality
  • Composable workflow operators (chain, gate, agent handoff)
  • Export any workflow as a native skill for the client
  • 90+ bundled prompts across 11 categories

Use cases of 🚀 Claude Custom Prompts MCP Server

  • Multi‑step research chains that thread context through gates
  • Code review workflows with automated output validation
  • Self‑correcting agentic sequences that retry failed gates
  • Custom skill authoring and export to any supported client

よくある質問

1

What are Validation Gates?

Gates are criteria the AI checks its own output against. They can be blocking (must pass before continuing) or advisory (flag issues but allow proceed). Failed gates can trigger automatic retries or pause for your decision.

2

Which AI clients are supported?

Claude Code, Claude Desktop, VS Code (Copilot), Cursor, OpenCode, and Gemini CLI. Each has specific setup instructions and may have different levels of hook support (chain tracking, gate enforcement).

3

How do I use my own prompts instead of the bundled ones?

Run `npx -y claude-prompts@latest --init=~/my-prompts` to create a starter workspace, then set the `MCP_WORKSPACE` environment variable. Your prompts overlay the bundled ones; same‑ID resources take priority.

4

Does it require Node.js and npm?

It depends on the transport. The NPX method requires Node.js, but a self‑contained `.mcpb` bundle (~5MB) is available for Claude Desktop that requires no npm.

5

What transport options are available?

The default transport is `stdio`. For HTTP clients you can use `--transport=streamable-http`. Presets per client are set via the `--client` flag (e.g., `claude-code`, `gemini`).

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