Promptz MCP

🚀 Direct Access to the MCP Server of promptz.dev from AI Assistants

Directly access prompts via the promptz.dev API without the need for copy-pasting, reducing context switching and friction in the workflow.

🚀 Quick Start

This MCP server enables AI assistants to directly interact with the promptz.dev API, eliminating the hassle of copy - pasting and streamlining the process of accessing prompts.

✨ Features

This MCP server offers two main functions:

1. Tools - Executable functions that allow AI assistants to directly interact with the promptz.dev API.
2. Prompts - Direct access to prompts that serve as MCP prompt templates.

📚 Documentation

🛠️ Tools and Prompts API

Tools

The server exposes the following tools via the MCP protocol:

list_prompts

List available prompts on the promptz.dev platform.

Input schema:

{
  "type": "object",
  "properties": {
    "cursor": {
      "type": "string",
      "description": "Pagination marker for fetching the next page of results"
    },
    "tags": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Filter prompts by tags (e.g., ['CLI', 'JavaScript'])"
    }
  }
}

Example usage:

// List all prompts
list_prompts()

// Fetch prompts with pagination
list_prompts({ "cursor": "next-page-token" })

// Filter prompts by tags
list_prompts({ "tags": ["JavaScript", "CLI"] })

Response format:

{
  "prompts": [
    {
      "name": "React 组件生成器",
      "description": "Generate React components based on descriptions",
      "tags": ["React", "JavaScript", "Front - end"]
    }
    // More prompts...
  ],
  "nextCursor": "Optional pagination marker"
}

get_prompt

Get a specific prompt by name.

Input schema:

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string"
    }
  }
}