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Claude Custom Prompts MCP Server

@minipuft

Basic information

Category

AI & Agents

License

AGPL-3.0

Transports

stdio

Author

minipuft

About Claude Custom Prompts MCP Server

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

Claude Custom Prompts MCP Server 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"
      ]
    }
  }
}

Claude Custom Prompts MCP Server 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

Frequently asked questions

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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