developer-tools

Promptz

cremich

by cremich

Integrate Promptz seamlessly into your workflow for direct access to prompts from promptz.dev without manual copy-pastin

Provides a bridge to the promptz.dev platform, enabling direct access and seamless integration of prompts into developer workflows without manual copy-pasting.

github stars

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Direct promptz.dev integrationNatural language commandsNo manual copy-pasting needed

best for

  • / Developers using Amazon Q Developer
  • / Teams sharing coding prompts and standards
  • / Reducing workflow friction when using AI prompts

capabilities

  • / Search for prompts by topic or name
  • / Execute prompts directly in Amazon Q Developer
  • / Browse project rules and coding standards
  • / Add project rules to your workspace
  • / Access promptz.dev library without context switching

what it does

Connects to the promptz.dev platform to search and execute development prompts directly in your workflow without manual copy-pasting.

about

Promptz is a community-built MCP server published by cremich that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Promptz seamlessly into your workflow for direct access to prompts from promptz.dev without manual copy-pastin It is categorized under developer tools.

how to install

You can install Promptz in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT-0

Promptz is released under the MIT-0 license.

readme

promptz.dev MCP Server

Access prompts from promptz.dev directly within Amazon Q Developer.

This MCP server allows to access prompts from the promptz.dev API without copy-pasting, reducing context switching and friction in your development workflow.

Features

The promptz.dev MCP Server provides two main capabilities:

  1. Prompts - Executable functions to search and execute prompts.
  2. Rules - Executable functions to search for project rules and by integrating with other tools adding/updating them in your workspace.

Example Usage

Once the server is connected to Amazon Q Developer, you can use it with natural language like:

  • "Search for CLI prompts about JavaScript"
  • "Show me the prompt called 'React Component Documentation'"
  • "Use the React Component Documentation prompt to improve my documentation"
  • "Find project rules for CDK Development"
  • "Add the CDK Project Structure project rule to my workspace"

Installation

Step 1: Get API Credentials

  1. Navigate to https://promptz.dev/mcp
  2. Copy the MCP settings like API Key, API URL or the sample MCP configuration snippet.

Step 2: Install the MCP Server

Open the Amazon Q Developer MCP client settings file located at ~/.aws/amazonq/mcp.json

Option 1: Using npx (Recommended)

The easiest way to use the server is with npx, which doesn't require installation:

  1. Add the following configuration to your Amazon Q Developer MCP client's settings file:
{
  "mcpServers": {
    "promptz.dev": {
      "command": "npx",
      "args": ["-y", "@promptz/mcp"],
      "env": {
        "PROMPTZ_API_URL": "your-api-url-from-promptz.dev",
        "PROMPTZ_API_KEY": "your-api-key-from-promptz.dev"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Option 2: Local Installation

  1. Clone the repository:
git clone https://github.com/cremich/promptz-mcp.git
cd promptz-mcp
  1. Install dependencies and build:
npm install
npm run build
  1. Add the following configuration to your MCP client's settings file:
{
  "mcpServers": {
    "promptz.dev": {
      "command": "node",
      "args": ["/path/to/promptz-mcp/build/index.js"],
      "env": {
        "PROMPTZ_API_URL": "your-api-url-from-promptz.dev",
        "PROMPTZ_API_KEY": "your-api-key-from-promptz.dev"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Troubleshooting

If you encounter issues with the server:

  1. Check that your API credentials are correct
  2. Ensure the server is properly configured in your MCP client
  3. Look for error messages in the logs located ad ~/.promptz/logs/mcp-server.log
  4. Use the MCP Inspector for debugging:
# Run with environment variables
PROMPTZ_API_URL="your-api-url" PROMPTZ_API_KEY="your-api-key" npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

Development

For those who want to contribute or modify the server:

# Install dependencies
npm install

# Build the server
npm run build

# For development with auto-rebuild
npm run watch

# Run tests
npm test

Security Considerations

  • This server only provides read access to prompts and does not implement any write operations
  • API credentials are stored in your MCP client's configuration file
  • All communication with the promptz.dev API is done via HTTPS
  • The server logs to a file in your home directory (~/.promptz/logs/mcp-server.log)

FAQ

What is the Promptz MCP server?
Promptz is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Promptz?
This profile displays 37 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.737 reviews
  • Isabella Martin· Dec 16, 2024

    Promptz reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Kofi Sharma· Dec 12, 2024

    Promptz is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Pratham Ware· Dec 8, 2024

    Useful MCP listing: Promptz is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Isabella Yang· Dec 8, 2024

    Promptz is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Dhruvi Jain· Dec 4, 2024

    We wired Promptz into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Tariq Diallo· Nov 27, 2024

    According to our notes, Promptz benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Oshnikdeep· Nov 23, 2024

    Promptz is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Camila Gonzalez· Nov 11, 2024

    Useful MCP listing: Promptz is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Chinedu Jackson· Nov 7, 2024

    Promptz has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Ava Sethi· Nov 3, 2024

    We wired Promptz into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

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