🚀 Claude Custom Prompts MCP Server

Name: 🚀 Claude Custom Prompts MCP Server
Author: minipuft

@minipuft

Repository

About 🚀 Claude Custom Prompts MCP Server

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

#nodejs #typescript #ai-automation #ai-development #ai-workflows #claude-ai #prompt-management #llm-tools #prompt-templates #ai-orchestration #model-context-protocol #mcp-server #prompt-chains #claude-dekstop

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

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Overview

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

FAQ from 🚀 Claude Custom Prompts MCP Server

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.

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).

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.

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.

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).

Comments

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